Data analysis – Open Dice http://opendice.net/ Wed, 11 May 2022 21:39:24 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://opendice.net/wp-content/uploads/2021/10/icon-6-120x120.png Data analysis – Open Dice http://opendice.net/ 32 32 Global Silica Gel Desiccant Rotors Market Dynamics | 2022-2029 Trade Data Analysis https://opendice.net/global-silica-gel-desiccant-rotors-market-dynamics-2022-2029-trade-data-analysis/ Wed, 11 May 2022 21:39:24 +0000 https://opendice.net/global-silica-gel-desiccant-rotors-market-dynamics-2022-2029-trade-data-analysis/ This handy and in-depth Silica Gel Desiccant Rotors Market report provides a clear picture of trade regulations, Silica Gel Desiccant Rotors market expansion, new product launches, and innovations. It identifies the Silica Gel Desiccant Rotors market trends and future market growth during the year 2022-2029. It also introduces Silica Gel Desiccant Rotors market competition among […]]]>

This handy and in-depth Silica Gel Desiccant Rotors Market report provides a clear picture of trade regulations, Silica Gel Desiccant Rotors market expansion, new product launches, and innovations. It identifies the Silica Gel Desiccant Rotors market trends and future market growth during the year 2022-2029. It also introduces Silica Gel Desiccant Rotors market competition among the leading industry players in the market. Market research analysis is a useful tool for the growth of many businesses as this Silica Gel Desiccant Rotors market report provides basic knowledge of market movements and Desiccant Rotors industry trends with silica gel. It is trying to meet the demand for products to help central players earn big profits by bringing new items in the silica gel desiccant rotors market.

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The Global Silica Gel Desiccant Rotors Market Information Report is a comprehensive overview of the market position of the Silica Gel Desiccant Rotors. Comprehensive information regarding past progress, current market conditions, and future prospects are provided in the Silica Gel Desiccant Rotors report. It also provides an in-depth overview of the key strategy, Silica Gel Desiccant Rotors market size and products of key companies in this market segment. The Complete Report of Materials, Applications and Silica Gel Desiccant Rotors Industry Forecast 2022 is expert and in-depth research insights on the global Silica Gel Desiccant Rotors market situation, focusing on each region.

Top Company Studied in the Silica Gel Desiccant Rotors Market Report:

Seibu Giken
Proflute
Trane
FlaktGroup SEMCO
air exchange
RomanAire
NICHIAS Company
Rotor source
DRI
Puressci

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Product Types Uploaded to Silica Gel Desiccant Rotors Market are:

Stainless steel

Aluminum alloy

The main applications of this report are:

Pharmaceutical

food industries

Chemical industry

Electronic

Other

This market will be significant in the growth of silica gel desiccant rotors over the forecast period. Additionally, there will be an increase in new product launches and continuous innovations owing to the rising popularity of silica gel desiccant rotors, which will drive the market in the coming years. Silica Gel Desiccant Rotors report provides past, present, and future Silica Gel Desiccant Rotors industry size, trends, and forecast information related to revenue, growth, demand, and scenario. of offer Silica gel desiccant rotors expected. In addition, the opportunities and threats to the development of the Silica Gel Desiccant Rotors market forecast period from 2022 to 2029.

Get a full report for better understanding : https://calibreresearch.com/report/global-silica-gel-desiccant-rotors-market-192840

Geographical Region of Silica Gel Desiccant Rotors Market Include:

North America Silica Gel Desiccant Rotors Market (United States, North American Countries & Mexico),
European market (Germany, French silica gel desiccant rotor market, UK, Russia and Italy),
Asia-Pacific Market (China, Japan & Korea silica gel desiccant rotor market, Asian country and Southeast Asia),
South America silica gel desiccant rotor regions include (Brazil, Argentina, Republic of Colombia, etc.),
Silica Gel Desiccant Rotors Africa (Saudi Peninsula, United Arab Emirates, Egypt, Nigeria and South Africa)

Finally, the Silica Gel Desiccant Rotors report provides market insights in the most comprehensive way. The structure of the report has been kept to provide maximum business value. The Silica Gel Desiccant Rotors report provides essential insights into the market dynamics and will enable strategic decision-making for existing market players as well as those who wish to enter the Silica Gel Desiccant Rotors market.

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Data Analytics Software Industry Market to Witness Huge Growth by 2030 | Minitab, SAP, Statwing – Queen Anne and Mangolia News https://opendice.net/data-analytics-software-industry-market-to-witness-huge-growth-by-2030-minitab-sap-statwing-queen-anne-and-mangolia-news/ Wed, 04 May 2022 07:24:20 +0000 https://opendice.net/data-analytics-software-industry-market-to-witness-huge-growth-by-2030-minitab-sap-statwing-queen-anne-and-mangolia-news/ Data Analysis Software Industry Market is expected to grow at a significant rate, reports JC Market Research. His latest research report, titled [Global Data Analysis Software Industry Market Insights, Forecast to 2030], offers a unique perspective on the global market. Analysts believe that changing consumption patterns are expected to have a big influence on the overall market. […]]]>

Data Analysis Software Industry Market is expected to grow at a significant rate, reports JC Market Research. His latest research report, titled [Global Data Analysis Software Industry Market Insights, Forecast to 2030], offers a unique perspective on the global market. Analysts believe that changing consumption patterns are expected to have a big influence on the overall market. For a brief overview of the world Data Analysis Software Industry market, the research report provides an executive summary. It explains the various factors that constitute an important part of the market. It includes market definition and scope with a detailed explanation of market drivers, opportunities, restraints, and threats.

Get Free Sample Report + All Related Charts & Graphs @ jcmarketresearch.com/report-details/1412633/sample

Leadership assessment Data Analysis Software Industry market competitors: – Minitab, SAP, Statwing, IBM, RapidMiner, SAS Institute, MathWorks, BDP, TIBCO Software, Systat Software, StataCorp, QDA Miner, Microsoft, ABS Group, Lumina Decision Systems, Qlik, Tableau Software, Analyse-it Software, Addinsoft, MaxStat Software, Alteryx, Knime

Based on region:-

  • North America Data Analytics Software Industry (United States, Canada, Mexico)
  • Data Analysis Software Industry Europe (Germany, France, UK, Italy, Russia)
  • Asia-Pacific Data Analytics Software Industry (China, Japan, Korea, India, Southeast Asia)
  • South America Data Analytics Software Industry (Brazil, Colombia)
  • This Pre and Post Pandemic Data Analytics Software Industry Market Strategy Report can help consumers to:
  • Adapt their financial planning after the stability of the data analysis software industry market settles to move forward.
  • Create stability by making appropriate decisions for business groups, goods and individual data analysis software industry service lines regarding fixed assets and expenses.
  • To avoid future doomsday scenarios of the data analytics software industry, conceptualize scenario-based planning.

Get Up to 50% Fixed Discount on Data Analytics Software Industry Report @ jcmarketresearch.com/report-details/1412633/discount

  • The Data Analysis Software Industry report provides information on the following pointers:
  • 1. Market Penetration of Data Analytics Software Industry: Provides comprehensive market insights offered by major players
  • 2. Market Development of Data Analytics Software Industry: Provides in-depth insights into lucrative emerging markets and analyzes the markets
  • 3. Market Diversification of Data Analytics Software Industry: Provides insights into new product launches, untapped geographies, recent developments, and investments
  • 4. Competitive Assessment and Intelligence: Provides a comprehensive assessment of the Data Analytics Software industry market shares, strategies, products, and manufacturing capabilities of key players
  • 5. Product Development and Innovation in Data Analytics Software Industry: Provides intelligent insights into future technologies, R&D activities and new product developments

This Data Analytics Software industry report covers market insights including: shipment, value, revenue, net profit, etc. which gives a superior perspective to the buyer . It also covers various districts and nations of the world to indicate the provincial market size, volume and value.

Research Methodology

the [names] the research methodologies used by the analysts play a vital role in how the publication has been collated. Analysts used primary and secondary research methodologies to create a comprehensive analysis. For a fair and precise analysis of the overall situation Data Analysis Software Industry market, analysts have bottom-up and top-down approaches.

Read TOC Data Analysis Software Industry Report @ jcmarketresearch.com/report-details/1412633/Data-Analysis-Software-Industry

Data Analytics Software Industry Competitive Rivalry

The Data Analytics Software industry research report includes an analysis of the competitive landscape present in the global market Data Analysis Software Industry market. It includes an assessment of existing and upcoming trends that players can invest in. Additionally, it also includes an assessment of the players’ financial prospects and explains the nature of the competition.

Strategic Points Covered in Data Analytics Software Industry TOC as follows:

Chapter 1: Introduction, Product Scope, Data Analytics Software Industry Market Driver, Market Risk, Market Overview and Market Opportunities Globally Data Analysis Software Industry market

Chapter 2: Assess the world’s leading manufacturers Data Analysis Software Industry market which includes its revenue, sales and product price

Chapter 3: Displaying the competitive nature of the Data Analytics Software industry among major manufacturers, with market share, revenue, and sales

Chapter 4: Global presentation Data Analysis Software Industry market by regions, market share and with revenue and sales for the projected period

Chapter 5, 6, 7, 8 & 9 of Data Analytics Software Industry Report: To assess the market by segments, by countries and by manufacturers with revenue and sales sharing by key countries in these various regions

Find more industry research reports from the Data Analytics Software industry. By JC Market Research.

About the Author:

JCMR’s global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities, but also to empower and inspire you to create visionary growth strategies for the future, through our extraordinary depth and breadth of thought leadership, research, tools, events and experience. that help you turn your goals into reality. Our understanding of the interplay between industry convergence, megatrends, technologies and market trends provides our clients with new business models and opportunities for expansion. We are focused on identifying the “Accurate Forecast” in each industry we cover so that our clients can reap the benefits of being early market entrants and can achieve their “Goals and Objectives”.

Contact us: https://jcmarketresearch.com/contact-us

JC MARKET RESEARCH

Mark Baxter (Business Development Manager)

Phone: +1 (925) 478-7203

Email: sales@jcmarketresearch.com

Join us on – LinkedIn

www.jcmarketresearch.com

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COVID impact, opportunities, trends and predictions – Queen Anne and Mangolia News https://opendice.net/covid-impact-opportunities-trends-and-predictions-queen-anne-and-mangolia-news/ Wed, 04 May 2022 00:29:39 +0000 https://opendice.net/covid-impact-opportunities-trends-and-predictions-queen-anne-and-mangolia-news/ Evolve business intelligence, today released a new market research report on “The global life sciences data analytics, storage and management market size was valued at $22.75 billion in 2020 and is projected to reach $81.93 billion by 2028, with a CAGR of 17.26% from 2021 to 2028..” For more information on the report: https://report.evolvebi.com/index.php/sample/request?referer=parity&reportCode=010699 The […]]]>

Evolve business intelligence, today released a new market research report on “The global life sciences data analytics, storage and management market size was valued at $22.75 billion in 2020 and is projected to reach $81.93 billion by 2028, with a CAGR of 17.26% from 2021 to 2028..”

For more information on the report: https://report.evolvebi.com/index.php/sample/request?referer=parity&reportCode=010699

The COVID-19 pandemic has led to supply chain disruption leading to lower demand or supply shortages in the Data Analytics, Storage and Management in Science Market of life. Travel restrictions and social distancing measures have led to a sharp drop in consumer and business spending and this trend is expected to continue for some time. The trend and preferences of end users have changed due to the pandemic and led manufacturers, developers and service providers to adopt various strategies to stabilize the business.

In terms of the impact of COVID 19, the Life Sciences Data Analytics, Storage and Management Market report also includes the following data points:

  • COVID19 Market Impact of Data Analytics, Storage and Management in Life Sciences Market Size
  • End user/industry/application trend and preferences
  • Government policies/regulatory framework
  • Strategy of key actors to fight against negative impacts / post-COVID strategies
  • Opportunity in the Life Sciences Market Data Analytics, Storage and Management Market

The recent COVID scenario is expected to positively impact the Life Sciences Market Data Analytics, Storage and Management Market. Due to the increasing spread of the coronavirus, several companies are working with a limited workforce, which leads to work/production delays. This has impacted the market in the years 2020 and 2021.

Competitive scenario
Some of the major markets for data analytics, storage and management among life science players with high market share include Dell Technologies Inc, Advanced Micro Devices, Cray, Inc, Cisco Systems These players are using new product development, partnership, and acquisition as key strategies to gain significant market share to compete with market leaders.

Segmental analysis
The Life Sciences Market Data Analytics, Storage and Management Market is analyzed into the various segments mentioned below:

  • product and service
  • Application
    • Next Generation Sequencing
    • Microscopy
    • Chromatography
    • Flow cytometry
    • Spectroscopy
    • Others
  • Final user
    • Pharmaceutical and biotechnology companies
    • Research Centers, University and Government Institutions
    • Hospitals and Clinics
    • Others

Report cover
The study also contains a complete value chain, along with details of the key factors affecting market growth (drivers, constraints and opportunities). In addition, the report includes 10 key players in the Life Sciences Data Analytics, Storage and Management market ecosystem who have been strategically profiled along with the ranking/market share of the main actors. In the Company Profile section, the company’s core competencies have been thoroughly analyzed along with the competitive landscape of market players and strategies such as partnerships and collaboration, acquisitions, launches and product developments, contracts and business expansion adopted by them. to grow in the market.

The key players profiled in the report are:

  • Dell Technologies Inc.
  • Advanced micro-systems
  • Cray, Inc.
  • Cisco Systems
  • IBM Corporation
  • intel company
  • intel company
  • Hewlett-Packard Enterprise Company
  • Lenovo Group Ltd.

To request a free sample report, click the “Request Sample PDF” button on https://report.evolvebi.com/index.php/sample/request?referer=parity&reportCode=010699

Research Methodology
This research study makes substantial use of secondary sources, archives and databases (such as annual reports, press releases, magazines, Trademap, company websites and other databases paid) to classify and gather useful information for this analysis. The whole process involves a review of the financial records of key industry participants. After determining the overall market size, the total market was divided into several segments and sub-segments, and this information was further verified by key industry specialists such as CEOs, Directors, VPs. presidents and marketing managers.

Report objectives

  • To define, describe and forecast the market for data analytics, storage and management in the life sciences market, in terms of value, segmented on the basis of indication, type, technology and geography
  • Forecast market size in 4 key regions: Asia-Pacific (APAC), North America, Europe and Rest of the World (RoW)
  • To provide in-depth insights into market drivers, restraints, and opportunities in Data Analytics, Storage, and Management in Life Sciences Market
  • To provide an overview of the analysis of the value chain relating to the market of data analysis, storage and management in the life sciences industry
  • To strategically analyze each segment and sub-segment with respect to individual overall growth trends and their contribution to the overall Life Sciences Market Data Analytics, Storage and Management Market
  • To analyze market opportunities by identifying high growth market segments for data analytics, storage and management in the life sciences market
  • To profile key market players of Data Analytics, Storage and Management in Life Science market and comprehensively analyze their core competencies
  • To analyze competitive developments such as partnerships, product launches and developments, contracts, and mergers and acquisitions made in the global Life Sciences Market Data Analytics, Storage and Management market

About EvolveBI

Evolve Business Intelligence is a market research, business intelligence and consulting company that provides innovative solutions to tough business problems. Our market research reports include data useful for micro, small, medium and large businesses. We provide solutions ranging from simple data collection to business consulting.

Evolve Business Intelligence is built on the foundation of technological advancements providing highly accurate data through our in-house AI modeled data analysis and forecasting tool – EvolveBI. This tool tracks real-time data, including quarterly performance, annual performance, and recent developments for Fortune 2000 global companies.

Address
Evolve business intelligence
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NH 48, Balitha, Vapi
Gujarat 396191
India

Contact: +1 773 644 5507 / +91 635 396 3987
Email: sales@evolvebi.com
Website: https://evolvebi.com/

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Gear Grinding Dresser Market 2022 Data Analysis and Brief Review – Winter, Asahi Diamond Industrial, Reishauer, DR. KAISER https://opendice.net/gear-grinding-dresser-market-2022-data-analysis-and-brief-review-winter-asahi-diamond-industrial-reishauer-dr-kaiser/ Tue, 03 May 2022 08:12:08 +0000 https://opendice.net/gear-grinding-dresser-market-2022-data-analysis-and-brief-review-winter-asahi-diamond-industrial-reishauer-dr-kaiser/ “Gear Grinding Dresser Market 2022-2027: The Global Gear Grinding Dressers Market exhibits comprehensive information which is a valuable source of insightful data for business strategists during the decade 2017-2027. Based on historical data, the Gear Grinding Dresser market report provides key segments and their sub-segments, revenue and demand and supply data. Considering the technological breakthroughs […]]]>

Gear Grinding Dresser Market 2022-2027:

The Global Gear Grinding Dressers Market exhibits comprehensive information which is a valuable source of insightful data for business strategists during the decade 2017-2027. Based on historical data, the Gear Grinding Dresser market report provides key segments and their sub-segments, revenue and demand and supply data. Considering the technological breakthroughs in the market, the gear straightening machine industry is likely to emerge as a laudable platform for emerging investors of the gear straightening machine market.

The complete value chain and essential downstream and upstream elements are scrutinized in this report. Key trends like globalization, progress in growth reinforce fragmentation regulation and ecological concerns. This market report covers technical data, manufacturing plant analysis, and raw material source analysis of Gear Grinding Machine industry, along with which products have the highest penetration, their profit margins and the state of R&D. The report makes future projections based on the market subdivision analysis that includes global market size by product category, end-user application, and various regions.

Get a sample report: https://www.marketresearchupdate.com/sample/346683

This Gear Grinding Machine Market report covers manufacturer data, including shipment, price, revenue, gross profit, interview record, trade distribution, etc., this data help the consumer to get to know the competitors better.

First leading manufacturer covered in this report:
Winter, Asahi Diamond Industrial, Reishauer, DR. KAISER, KAPP NILES, Radiac Abrasives, Koepfer America

Analysis of product segments:
Single bevel gear dresser
Twin Taper Gear Dresser
Full profile chest of drawers
Others

Based on the app:
Machine tools
Automotive
Aerospace
military industry
Others

Get Discount @ https://www.marketresearchupdate.com/discount/346683

Regional Analysis For Gear Grinding Dresser Market

North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia and Italy)
Asia Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
The Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, Nigeria and South Africa)

The objectives of the report are:

– Analyze and provide Gear Grinding Dresser Industry market size in global market.
– To study the global key players, SWOT analysis, value and global market share of key players.
– To determine, explain and forecast the market by type, end use and region.
– To analyze the market potential and benefits, opportunities and challenges, restraints and risks of key regions of the world.
– To discover significant trends and factors driving or restraining market growth.
– Analyze market opportunities for stakeholders by identifying high growth segments.
– To critically analyze each submarket in terms of individual growth trend and their contribution to the market.
– Understand competitive developments such as agreements, expansions, new product launches and market possessions.
– Strategically describe the key players and analyze in depth their growth strategies.

View full report @ https://www.marketresearchupdate.com/industry-growth/gear-grinding-dresser-market-trends-2022-2027-346683

Finally, the study details the main challenges that will impact the growth of the market. They also provide comprehensive details of business opportunities to key stakeholders to grow their business and increase revenue in specific verticals. The report will help companies existing or intending to join in this market to analyze different aspects of this field before investing or expanding their business in the Gearboxes markets.

Contact us:
sales@marketresearchupdate.com

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EdiGene will showcase getools, a data analysis software toolkit for advanced analysis of DNA and RNA editing efficiency and results for therapeutic development at the 25th Annual Meeting of the ASGCT https://opendice.net/edigene-will-showcase-getools-a-data-analysis-software-toolkit-for-advanced-analysis-of-dna-and-rna-editing-efficiency-and-results-for-therapeutic-development-at-the-25th-annual-meeting-of-the-asgct/ Mon, 02 May 2022 21:40:00 +0000 https://opendice.net/edigene-will-showcase-getools-a-data-analysis-software-toolkit-for-advanced-analysis-of-dna-and-rna-editing-efficiency-and-results-for-therapeutic-development-at-the-25th-annual-meeting-of-the-asgct/ BEIJING AND CAMBRIDGE, Mass.–(BUSINESS WIRE)–BEIJING and CAMBRIDGE, MASS. – (May 2, 2022) – EdiGene, Inc., a global clinical-stage biotechnology company focused on translating gene-editing technologies into transformative therapies for patients with serious genetic diseases and cancer, will present geotools (gene editing data analysis toolkit) for the advanced analysis of DNA and RNA editing efficiency and […]]]>

BEIJING AND CAMBRIDGE, Mass.–(BUSINESS WIRE)–BEIJING and CAMBRIDGE, MASS. – (May 2, 2022) – EdiGene, Inc., a global clinical-stage biotechnology company focused on translating gene-editing technologies into transformative therapies for patients with serious genetic diseases and cancer, will present geotools (gene editing data analysis toolkit) for the advanced analysis of DNA and RNA editing efficiency and results for therapeutic development at the annual meeting of the American Society of Gene & Cell Therapy (ASGCT) May 16-19, 2022 in Washington, DC

Powered by an in-house developed algorithm framework, geotools enables more efficient and accurate analysis of the complex mixed mutational spectrum in vitro and live, in bulk or at the single-cell level, of the efficiency and results of DNA and RNA editing compared to other existing analytical tools. It provides data security with localized deployment and provides industry-standard reports and result files of various formats for full-cycle data tracing and workflow integration. These characteristics contribute to gene editing studies, from laboratory research to therapeutic development.

Presentation details:

Title:
geotools Enables ultra-fast and accurate quantification of gene-editing results with bulk and single-cell data from genome-editing experiments

Session Date/Time: Wednesday, May 18, 2022 5:30 p.m. – 6:30 p.m.

Session title: Gene Targeting and Gene Correction III

Abstract number: 962

“The development of geotools demonstrates our expertise in gene editing and bioinformatics and our ability to leverage them to create solutions and provide insights for therapeutic development,” said Dong Wei, Ph.D., CEO of EdiGene. “Innovative gene-editing therapies are beginning to show their breakthrough potential, and for such a new therapeutic modality, new tools and analytics are needed to quantitatively analyze and monitor the results of gene-editing at the acid level. to determine the risks and benefits of a therapeutic candidate.EdiGene is dedicated to advancing this innovation to facilitate the development of DNA and RNA editing-based therapies for patients in need.

EdiGene has established three centers of excellence with underlying gene editing, bioinformatics and high throughput genome editing screening technologies. This scientific expertise and capabilities are integrated into the entire therapeutic development process through its four gene-editing therapeutic platforms for ex-vivo, in-vivoand targeted therapies.

About EdiGene, Inc.

EdiGene is a global clinical-stage biotechnology company focused on translating gene-editing technologies into transformative therapies for patients with serious genetic diseases and cancer. The company has established its sole ownership ex-vivo genomic editing platforms for hematopoietic stem cells and T lymphocytes, live therapeutic platform based on RNA base editing and high throughput genome editing screening to discover novel targeted therapies. Founded in 2015, EdiGene is headquartered in Beijing, with offices in Guangzhou and Shanghai, China, and Cambridge, Massachusetts, USA. More information can be found at www.EdiGene.com.

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Data analysis is the most important skill on the trading desk, finds a report https://opendice.net/data-analysis-is-the-most-important-skill-on-the-trading-desk-finds-a-report/ Fri, 29 Apr 2022 12:30:22 +0000 https://opendice.net/data-analysis-is-the-most-important-skill-on-the-trading-desk-finds-a-report/ Despite their many differences, the equities, fixed income and foreign exchange desks are united in their desire for data-savvy traders, according to a report from Refinitiv. Data analysis and data science were the top-ranked skills for the next one to three years by traders across all asset classes, followed by knowledge of the market and […]]]>

Despite their many differences, the equities, fixed income and foreign exchange desks are united in their desire for data-savvy traders, according to a report from Refinitiv.

Data analysis and data science were the top-ranked skills for the next one to three years by traders across all asset classes, followed by knowledge of the market and market structure.

“As workflows become increasingly data-driven, the ability to manage, analyze, and draw accurate conclusions from large datasets is a very important skill on today’s trading desk. today,” said Dean Berry, Group Head of Trading and Banking Solutions at LSEG. TRADE.

For bond traders in particular, key value datasets included dealer cycles, flows, axes, aggregate dealer pricing systems, and liquidity scores.

Automation was a top priority for traders going forward across all asset classes in Refinitiv’s Evolution of Trading report, alongside the need for greater digital communication and manipulation and analysis Datas.

For FX traders, key areas of workflows that needed to be automated further included regulatory reporting, risk management and compliance checks, and post-trade processing.

For the equity traders surveyed, it was the same areas ranked slightly differently, with regulatory reporting taking the top spot, followed by post-trade execution analysis, transaction cost analysis and price discovery before trading.

Fixed income traders have prioritized automating pre-trade price discovery, post-trade processing, and post-trade execution analysis.

The remaining manual tasks, despite market shifts over the past five years, were the same across all asset classes, including typing one app into another, waiting longer than expected for the loading data and copying and pasting from Excel into a company. application.

Email, telephone, market data terminal and office tools were in varying orders ranked as the most important tools by respondents to Refinitiv’s survey.

Despite the desire for automation, the main obstacles preventing it in the fixed income markets included a limited budget, limited resources to perform the integration, and the inability to integrate with existing systems.

Fixed-income traders said they plan to use more e-commerce and automation alongside consolidation of vendors and systems to cut costs. Reducing data costs came in surprisingly fourth, perhaps as bond traders have resigned themselves to their fate of paying through the nose for data.

Similarly, FX traders have cited system automation and consolidation as a way to deal with current market events.

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Admissions Officer (Data Analysis) job at KINGS COLLEGE LONDON https://opendice.net/admissions-officer-data-analysis-job-at-kings-college-london/ Thu, 28 Apr 2022 14:59:16 +0000 https://opendice.net/admissions-officer-data-analysis-job-at-kings-college-london/ job description About Us The King’s community is dedicated to the service of society. King’s Strategic Vision 2029 sets out our vision for the future, articulated around five priority areas: Educate to inspire and improve; research to inform and innovate; serve to shape and transform; a civic university in the heart of London; and an […]]]>

job description

About Us

The King’s community is dedicated to the service of society. King’s Strategic Vision 2029 sets out our vision for the future, articulated around five priority areas: Educate to inspire and improve; research to inform and innovate; serve to shape and transform; a civic university in the heart of London; and an international community at the service of the world. Our ambitious education strategy sets out the actions we need to take to transform how we teach, how and where our students learn, and how we support them during their stay with us.

The King’s Admissions Office is responsible for undergraduate and postgraduate admissions services at King’s College London. The Admissions Office receives over 120,000 applications each year, striving to process applications efficiently, providing top-notch customer service, from responding to emails and messages, from applying at registration. The Admissions Operations team provides support to these services in a number of areas: qualification search, policy, data analysis and communication sharing.

We are part of the Student and Education Branch, a wide-ranging set of professional services set up to support King students and their education. As leadership, we manage the student lifecycle, from application to graduation and beyond, to ensure a consistent, seamless student experience and efficient administrative processes, working closely with King’s faculties to do so.

About the role

The Admissions Manager (Data Analytics) will be a critical member of the Admissions team, supporting the Admissions Department primarily by assisting with data provision, analysis and reporting to inform effective treatment.

This is an exciting opportunity for candidates who enjoy researching and solving problems, working independently on projects, and interacting regularly with many departments across the university. This is an opportunity to develop skills in data analysis (MS Excel, MS Access, SQL and Visual Basic) and business systems (Office 365, SQL and Oracle databases) to support the solutions.

We encourage applications from candidates who have experience both inside and outside the higher education sector where they can demonstrate the skills necessary to succeed in this role.

This position will be offered on a permanent contract.

This is a full-time position, but we welcome applications from candidates looking for a flexible work model during our service hours.

The Admissions team enforces a leave embargo during the August confirmation and clearing period.

Main responsibilities

  • This role will retrieve data from databases such as SITS to run regular statistical reports and management information (MI), provide interpretation of this data, communicate this information to the admissions department and the university, the where appropriate, for example weekly updates and progress reports.
  • Acquire knowledge of data analysis (MS Excel, MS Access, SQL and Visual Basic) and business systems (Office 365 databases, SQL and Oracle) to develop and support efficiency building solutions and tools .
  • This role will use data retrieval skills to provide research assistance to the work of the Senior Admissions Officer (data analysis), including timely resolution of access to information requests.
  • This role will support the production, delivery and maintenance of various interactive tools used for admissions processes such as Occupational Health and Disclosure and Barring (DBS) clearance checks and number processing CAS visa for international students.
  • This role will manage staff access to databases and tools relevant to the Admissions Service such as UCAS Weblink, UK ENIC and King’s Admissions Portal, performing regular audits of access rights to these systems.
  • Using research skills to keep abreast of issues affecting college admissions and using that knowledge to inform any narrative explaining data trends.

The above list of responsibilities may not be exhaustive and the post holder will be required to undertake the duties and responsibilities reasonably expected within the scope and classification of the post.

Skills, knowledge and experience

Essential criteria

Qualifications & Training

  • Relevant work experience and/or education: We believe that a wide range of different work experience and education could help you succeed in this role. Relevant work experience may include work in data analysis, administrative or regulatory work. Relevant educational experiences may include higher education in a related discipline, vocational qualifications or other training.

Skills & Experience

  • Effective oral and written communication skills
  • Ability to understand, manipulate, analyze and present numerical/statistical data in a variety of formats with narration so that it can be interpreted by others.
  • Ability to work with others to support project goals and overcome challenges
  • Experience providing good customer service to stakeholders, receiving feedback and independently improving these skills
  • Ability to work with a high level of precision and maintain standards in a team environment
  • Ability to conduct accurate and independent research to answer questions posed to you
  • Ability to prioritize workload under pressure and manage challenging deadlines with minimal supervision

Awareness

  • Strong Microsoft Excel skills (e.g. understanding of spreadsheets and workbooks, basic addition/averaging formula, array formula, macros, data entry and formatting, sorting and filtering)

Desirable criteria

Skills & Experience

  • Experience in higher education (or similar) environment or working in an admissions-related environment

Awareness

  • Visual Basic awareness
  • Familiarity with college admissions systems such as UCAS, understanding of SITS client and system table structures
  • Competent Microsoft Word skills (e.g. mail merge, track changes, formatting and editing)

Further information

Your application must clearly indicate how you meet the essential criteria, as this is how we screen applications. Find out more about how we recruit, including advice on writing your application and supporting statement on our website: https://jobs.kcl.ac.uk/gb/en/applying

Interviews will be conducted under Microsoft Teams and will consist of competency-based questions closely related to the essential and desirable criteria mentioned here.

Although we have made improvements over the past few years, our team is still underrepresented in terms of staff from global majority ethnicities, LGBTQ+ identities and people with disabilities. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities.

Interviews are tentatively scheduled in the week beginning Monday, May 23, 2022

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Data analysis: finding undervalued young players in the Serbian top flight https://opendice.net/data-analysis-finding-undervalued-young-players-in-the-serbian-top-flight/ Tue, 26 Apr 2022 07:48:31 +0000 https://opendice.net/data-analysis-finding-undervalued-young-players-in-the-serbian-top-flight/ In the first of a series of semi-regular articles on this site, we will be using data analysis techniques to find underrated but successful young players in their respective leagues. There are many leagues across Europe in which the title race will tend to be dominated by a small group of teams. Unless you’re a […]]]>

In the first of a series of semi-regular articles on this site, we will be using data analysis techniques to find underrated but successful young players in their respective leagues. There are many leagues across Europe in which the title race will tend to be dominated by a small group of teams.

Unless you’re a fan of that league or have an unhealthy obsession with the game of Football Manager, you’re unlikely to know all the interesting young players who are in those leagues but don’t play for a team that will traditionally challenge for the title. There are, of course, exceptions to this rule and in the German Bundesliga, where Bayern Munich are in a league of their own, there is more mainstream media exposure and as such wider awareness of players and team of this league.

When working in football recruitment, we want to have a broad knowledge base when it comes to identifying and recruiting talent, but we are limited by time and resources. So how can we build a reliable network or information that we can seek to access?

The answer is relatively simple. We can rely on the data as a tool to allow us to identify players who may match our profiles in leagues around the world. The problem is, however, that the player data for these leagues will always tend to be skewed in favor of the teams that sit at the top of the table. If we look at data from the Bundesliga, for example, we can expect to see Bayern Munich players playing a significant role. If we look at the SPFL players like Rangers and Celtic will feature prominently in our data set and if we focus on the Austrian Bundesliga we will see a low number of Red Bull Salzburg players. While this is not necessarily a problem and there are workarounds such as manually excluding players from these clubs from our dataset or simply ignoring them when they appear, there are other techniques that we can use to identify top performers at non-difficult clubs. up the table.

However, this may mean relying on readily available datasets. In this article, we will use wyscout data with python for coding and tableau for some visualization work. In python and tableau we have options to add additional calculations to our initial dataset to give the data a bit more life, but we’ll get to that before.

In this article we will start by looking at Serbia’s top flight and we will show the use of data analysis methods to identify four young players, we focus on players aged 23 or younger, who are performing well until now this season.

analysis

While we’re using data, we’ll focus for the purposes of this article on some key metrics. We are interested in goals and expected goals, assists and expected assists, progressive runs and progressive passes. Instead of just using the raw numbers for these metrics (which will give us a list of players who are under contract with the strongest teams in the league), we’ll use calculated fields in Tableau to apply a formula for give us the % a player is involved in each metric for his team. So if we have a striker who scored 10 goals but his team only scored 20 goals, he will have been responsible for 50% of the team’s total goals. This is compared to a player who has 10 goals but whose team has 50 goals as he is responsible for 20% of the team’s total goals. Doing this with all the metrics we are interested in will begin to show us which players are playing for smaller teams but are extremely effective for those teams.

First, we’ll be looking at goal contributions (goals per 90 + assists per 90) and the first thing to note is that we have to go down to 17th on our list before we find a player at Partizan or Crvena Zvezda. This is partly a result of the dataset I’m using as we’re only looking at players 23 or younger and despite their reputation for youth development, they have older squads this season. But it also begins to show us that our method works.

The top players in goal contributions both stand out, with Milos Pantovic (19, Vozdovac) and Uros Milanvanovic (21, Radnik) responsible for 14.63% and 13% of their team’s goal. contributions respectively.

We have to add at this point that this is only part of the process of identifying and recruiting players and then you need to take the players from the leaderboard that you are interested in and add them to a workflow to get started watching videos of the players in action.

Next, we’ll look at contributions to expected goals (expected goals per 90 + expected assists per 90)

Interestingly, Uros Milovanovic still tops this ranking, but this time the top spot is taken by 19-year-old wide forward Stefan Mitrovic of Radnicki Nis with a % contribution of 13.76% in expected goal contributions of his team. This time we have to fight our way up to 13th place to find a player for one of the top two teams in the country.

Finally, for this section, let’s look at each player’s % contribution to their team’s progressive actions (progressive passes + progressive runs) because you can see this time the image changes position. The first two rankings we shared were usually populated with attacking players while this time we get defenders, full-backs and central midfielders. This is usually because players in these positions generate higher results for the metrics we are looking at. Forwards are more likely to score and centre-backs or full-backs are more likely to advance the ball. When I did this for a club, I always added position filters so you could easily identify outliers in positions you might not expect.

The likes of Filip Backulja (19 and on loan to Metalac from Juniors of Austria) who has 13.52% contribution to his team’s progressive stocks and Aleksa Damjanac (23 at Radnicki 1923) who has 12.57% contribution looks interesting but my pick is actually a midfielder in Stefan Purtic who is a 23-year-old central midfielder at Vozvodac.

#1 Milos Pantovic, 19, Winger, Vozvodac and Serbia

For these pizza charts, we take data from Wyscout and run it through python code to convert it to percentile data. This ranks each player in each metric against other players in the same position. in the same league from 1 to 100. The higher the value, the better the player is in this area compared to his peers. This percentile data is then taken and run through other code to produce the pizza chart above. If you want to make your own, the credit for the code is at the bottom of the table, but feel free to contact us for more information.

Pantovic is an attacking wide player who performs well in all possession metrics, but especially carrying plays and progressive plays. He also performs well in terms of dangerous passes and goal contributions.

#2 Stefan Mitrovic, 19, Winger, Radnicki Nis and Serbia

Stefan Mitrovic is a slightly different case in that he is a more traditional wide forward who thrives when carrying the ball but also provides above average outings (average is 50%) for goal contributions , shots per 90, shots on target percentage and hits. The area. He is a more effective player in the final third than to advance the ball. Interestingly, his positioning production is also very high in the defensive section.

#3 Uros Milovanovic, 23, Forward, Radnik and Serbia

As you would expect from a striker, the pizza board takes on a different shape compared to the two wingers above. Milovanovic is superb when it comes to goal contributions, expected goal contributions, shots per 90, shots on target percentage and touches in the box. He presents himself as a striker who still has development to come and with four caps for Serbia at U21 level, he has clear potential.

#4 Stefan Purtic, 23, central midfielder, Vozdovac and Serbia

Finally, let’s take a look at the only central midfielder in the group of players we’re interested in. Once again the shape of the pizza graph is starting to change with much more emphasis on the possession side of the game. His performance for dangerous passes and progressive actions is extremely interesting and as you can see from of his high performance for the passes received, he is a player who plays a lot with the ball for his team. His defensive performance for positioning also shows us that he can work against the ball in the defensive phase of the game.

Conclusion

So there we have it. Four Serbian players aged 23 or under and playing for teams that are generally not well known or well scouted. By using data and applying various analytical techniques, we can start to really dig deeper into the level of talent in various countries.

There is so much depth of talent there. The trick is to find players who match what you are looking for in terms of player profile and playstyle.

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3 Ways Manufacturers Maximize the Value of Financial Data Analytics https://opendice.net/3-ways-manufacturers-maximize-the-value-of-financial-data-analytics/ Fri, 22 Apr 2022 19:37:14 +0000 https://opendice.net/3-ways-manufacturers-maximize-the-value-of-financial-data-analytics/ Manufacturers collect more data than ever and, at the same time, increasingly master derive insights based on data. However, as manufacturing goes digital, companies are running into self-imposed ceilings. Limiting data analysis within lines of business or departments, instead of sharing data, prevents manufacturers from optimizing operations with business goals in mind. A recent Boston […]]]>

Manufacturers collect more data than ever and, at the same time, increasingly master derive insights based on data. However, as manufacturing goes digital, companies are running into self-imposed ceilings. Limiting data analysis within lines of business or departments, instead of sharing data, prevents manufacturers from optimizing operations with business goals in mind.

A recent Boston Consulting Group survey found that nearly 75% of manufacturing company executives see data sharing as the key to achieving higher levels of efficiency. Financial data remains highly undervalued from an operations perspective because typically, operations and finance teams work in separate worlds.

However, analyzing financial data can open up new opportunities in manufacturing once companies encourage increased data sharing and collaboration. Here are the types of value manufacturers can see by leveraging their financial data further.

Reduce cycle times and unlock greater efficiency

Finance teams regularly run cost analysis reports and forecast future expenses. However, the combination of metrics that speak to operational parameters, such as assembly line wear and part life cycle data, will add a new dimension to cost analysis. Finance teams, especially FP&A units, can predict future costs with greater accuracy.

They can extend these findings to increase the accuracy of operational data such as plant capacity reports. Generally, these reports have a limited scope. As an FP&A DataRails solution provider note in its recent report on manufacturing KPIs, “Benchmarking actual production against full capacity is an opportunity to go out in the field and ask questions: Why is there so much variability? options to smooth this out?”

By adding a financial perspective, leaders of manufacturing companies can ask better questions to help uncover the best strategies for business growth. When correlated to cost, metrics like equipment efficiency can shed light on lead times, creating a transparent supply chain. Data sharing and collaboration are key.

Michael Lock, senior vice president and principal analyst at Aberdeen Research, aptly puts it. “Where companies once had to prioritize and choose the most relevant data for their analytics, the tools now exist to help reduce that burden,” he says. “Companies can now capture, integrate and prepare more data from more sources, making it easier to expose them to users who can get the most out of it.”

Support agile manufacturing

Just-in-time or agile manufacturing is the norm these days, and data plays a huge role in minimizing disruption to the value chain. What if companies could leverage financial data to create more efficient procurement and maintenance processes?

Financial datasets such as inventory costs and procurement spend trends can add immense value to inventory optimization processes. Finance teams are used to stress-testing their forecasts and can bring these skills to procurement cycles.

For example, finance teams can add costs to procurement models and stress them through various scenarios. Adding financial data or integrating it via KPIs also helps companies become flexible. In addition, such integrated data analysis reduces costs.

Inertia is one of the biggest obstacles to engineering such processes. Manufacturing has long resisted leveraging IIoT data to automate maintenance. Going forward, flexible manufacturers who can leverage data to meet omnichannel consumer demand are the ones who will thrive.

“It’s just easier to go back to old ways of working, siled thinking and a culture of command and control – easier but not better,” explains Paul Miller, an analyst at Forrester. “Rigid hierarchies, ossified processes and an iron fist are the antithesis of flexible and adaptive organizations that will successfully meet the challenges of tomorrow.”

Eliminate unnecessary costs

Manufacturing is an amalgamation of several sub-processes, which is part of what makes a manufacturing execution system (MES) so helpful. And yet, tiny inefficiencies in these processes create outsized effects across the entire chain. For example, a faulty measurement in one part of the process creates scrap or rework later in the line.

Manufacturers typically account for scrap and rework using two separate analyses. Operations teams track inefficiencies along the assembly and supply chain, while finance teams track rework costs and impact on margins. What if these teams could collaborate to uncover inefficiencies hidden from individual teams?

For example, poor quality raw materials can create rework problems in automotive production. Sourcing raw materials is usually price driven, a financial decision. With exposure to rework rates and line processes that create rework, procurement teams can evaluate alternative vendors. They can deprioritize low cost through data-backed evidence of this material creating costly rework.

With such end-to-end visibility, manufacturers can better connect the dots. They also give room for predictive analysis to have an impactbecause these systems have more data to use.

“Mature analysis systems today can process large amounts of data and offer various analysis methods, thereby identifying potential flaws in advance and providing opportunities to develop appropriate counter-active repairs,” Deloitte note in a report on analytics in vehicle manufacturing. “The introduction of such predictive quality analysis systems will dramatically change the management of recalls, resulting in a huge increase in efficiency and massive savings in warranty costs.”

Better information and transparency

Integrating financial data into strategic planning and establishing data sharing processes can be extremely beneficial for manufacturers. Not only can they maximize asset ROI, but they can also uncover better opportunities. For example, combining capacity utilization with cost data can give finance teams better context when reviewing ERP data.

Companies that embrace such end-to-end connectivity will thrive in the harsh manufacturing environments of the future.

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Why Data Analytics is Important in Digital Marketing https://opendice.net/why-data-analytics-is-important-in-digital-marketing/ Thu, 21 Apr 2022 02:15:00 +0000 https://opendice.net/why-data-analytics-is-important-in-digital-marketing/ Digital marketing is all about data. As soon as a customer clicks on an ad or searches for a keyword, companies collect data that can be used to improve their marketing efforts. But what good is all this data if it cannot be properly analyzed? This is where data analysis comes in. Data analysis is […]]]>

Digital marketing is all about data. As soon as a customer clicks on an ad or searches for a keyword, companies collect data that can be used to improve their marketing efforts. But what good is all this data if it cannot be properly analyzed? This is where data analysis comes in.

Data analysis is the process of looking at data and extracting meaning from it. There are many different types of data that can be analyzed in digital marketing, such as website traffic data, social media data, search engine data, and email marketing data. Each type of data can provide valuable insights and by understanding what the data means, businesses can make better decisions about their marketing strategies.

Here are the main reasons why data analytics is so important in digital marketing:

1. Data analysis enables in-depth understanding of customer behavior

Data analysis helps digital marketers better understand the behavior of their customers. This includes understanding how customers interact with different digital touchpoints, what factors influence their purchasing decisions, what type of messaging they respond to, what type of content interests them, and when they are most active online. line. This information is then used to develop targeted marketing plans and strategies aimed at improving the customer experience and driving conversions.

CRM data analytics is a perfect example of how data analytics can be used to understand customer behavior in digital marketing. If you use a CRM software, your CRM will contain information about customer interactions with the brand through phone calls, emails, live chat sessions or website visits, their preferences and purchase history. By analyzing CRM data, companies can identify pain points in the customer experience and take action to address them. This can lead to increased customer satisfaction and loyalty and ultimately increased sales and revenue.

2. Data analysis helps identify marketing opportunities

Data analysis can also be used to identify new marketing opportunities. For example, by analyzing website traffic data, companies can identify which channels drive the most traffic and conversions, and then focus their marketing efforts on those channels.

If a business sees that their Facebook is driving more traffic to their website than their email campaigns, they may decide to invest more in promoting Facebook by leveraging the power of videos. There are many online video creation tools which can be used to create great videos.

Likewise, by analyzing social media data, businesses can identify any negative sentiment around their brand and take steps to improve their social media presence.

Data analysis can also be used to identify any new marketing trends that could be exploited for competitive advantage. For example, if a business sees that its competitors are investing heavily in a certain type of marketing, like video marketing, it may decide to do the same in order to stay ahead of the competition.

3. Data analysis enables more effective budgeting

Data analytics can also be used to allocate digital marketing budgets more efficiently.

By analyzing data from past campaigns, businesses can see which channels have been most effective in driving results and where there is potential for improvement. This information can then be used to allocate future marketing budgets in a way that maximizes return on investment.

Likewise, by understanding which customers are most valuable, businesses can focus their marketing efforts on acquiring and retaining those customers.

Digital marketing is expensive and businesses need to make sure they are spending their marketing budgets as efficiently as possible. Data analysis is the key to achieving this.

4. Data analysis helps develop targeted marketing strategies

Data analytics can be used to segment customers based on their behavior, preferences, and needs. This helps develop targeted marketing strategies that are more likely to resonate with each individual customer. By analyzing customer data, businesses can see which demographics are most interested in their products or services and tailor their campaigns accordingly.

For example, if a company finds that its products are most popular with women between the ages of 25 and 34, it may decide to target its marketing efforts to this demographic. Likewise, by analyzing customer data, companies can identify any trends in customer behavior. For example, if a company finds that its customers are increasingly interested in sustainable products, it may decide to focus its marketing efforts on promoting its sustainable products.

5. Data analytics helps personalize the customer experience

Personalize the customer experience and improvement of the customer satisfaction score becomes increasingly important as customers become increasingly inundated with marketing messages.

Data analysis is the key to providing a personalized experience that will stand out from the crowd. By understanding each customer’s individual needs and preferences, businesses can deliver a more personalized experience that is more likely to lead to conversions.

For example, if a business sees that a particular customer is interested in Product A, it can decide to provide that customer with information about Product A. By analyzing customer data, businesses can see which products or services are the popular with specific customers and tailor their offerings accordingly.

6. Data Analysis Helps Evaluate Marketing Performance

Digital marketing is constantly changing and it can be difficult to keep up with the latest trends. Data analytics can be used to assess the performance of different marketing channels and strategies. This information can then be used to make changes to the marketing mix to improve results.

Data analytics can also be used to track and measure the performance of marketing campaigns. By analyzing the data, businesses can see which campaigns are most effective in terms of reach, engagement, and conversions. This information can then be used to optimize future marketing efforts.

7. Data analysis helps identify business trends

Data analysis can also be used to identify business trends. By analyzing the data, businesses can see which products or services are growing in popularity and adjust their offerings accordingly.

Likewise, by understanding customer behavior, businesses can identify any trends in customer needs or preferences. This information can then be used to develop new products or services that meet these needs.

Conclusion

Data analytics is a powerful tool that can be used to improve the effectiveness of digital marketing. Certainly, this will become increasingly important as businesses strive to stay ahead of the competition in the digital age. It is important for you to have skilled data analysts on your team to make the most of this opportunity. A professional data analyst can help you collect, analyze, and interpret customer data so you can make better decisions about your digital marketing efforts.

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