data science

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Published By: Oracle     Published Date: Jan 28, 2015
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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Oracle
Published By: Oracle     Published Date: Jan 28, 2015
Retailers continue to collect this data and many have made good use of it, segmenting and targeting customers and rewarding loyal behavior with discounts and offers. Still, many sense that there’s untapped potential. They’re right. With the cost of data storage plummeting and the capabilities of analytical tools on the rise, this data’s value is set to skyrocket. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers’ decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
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Oracle
Published By: Hortonworks     Published Date: Apr 05, 2016
The advent of big data revolutionized analytics and data science and created the concept of new data platforms, allowing enterprises to store, access and analyze vast amounts of historical data. The world of big data was born. But existing data platforms need to evolve to deal with the tsunami of data-in-motion being generated by the Internet of Anything (IoAT).
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Hortonworks
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Gartner has published its "2017 Magic Quadrant for Data Science Platforms," and we are pleased to share a complimentary copy of this important research with you.
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Alteryx, Inc.
Published By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
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inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
    
TIBCO Software
Published By: TIBCO Software     Published Date: Sep 21, 2018
BUSINESS CHALLENGE “Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy. “To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform. “If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
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data solution, technology solution, data science, streaming data, fast data platform, self-service analytics
    
TIBCO Software
Published By: ServiceSource     Published Date: Nov 01, 2013
In this book we describe best practices honed through 13 years of experience and partnership with some of the leading technology companies in the world. These best practices will give you insight into three key areas: • Data management & renewal opportunity generation • Sales strategy & execution • Continuing the renewal cycle We hope you enjoy this book!
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reducing customer churn, servicesource, recurring revenue, higher profit margins, drive innovation, drive performance, saas companies, competitive markets, less loyal customers, the cloud, profitable revenue stream, unique business process, technology platform, deliver real-time, fact-based plan, renewal ready data, accelerate analytics, channel partners, science of renewals
    
ServiceSource
Published By: HiQ Labs     Published Date: Apr 18, 2017
Experts predict the number of M&A transactions will increase in 2017, but the nature of M&A is changing. The old ways of collecting data are getting to be too slow, too expensive, and too subjective. The ideal M&A transaction relies on accurate, actionable scientific insights into the target’s workforce to support the investigation, due diligence and integration aspects of M&A. hiQ Labs applies scientific rigor to publicly available data sets to forecast which employees are at risk of leaving, map the target workforce’s skills onto the buyer’s company, and identify which employees have the skills critical to the deal’s success, so M&A leaders get a faster, cheaper, and accurate solution based on science.
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hiq labs, m&a, talent
    
HiQ Labs
Published By: Reputation.com     Published Date: Jun 29, 2018
HCAHPS is the barometer for understanding a patient’s hospital experience. But can you predict the outcome of your patient satisfaction surveys by reading online reviews from past and present patients? And more importantly, does improving your hospital’s online reputation improve HCAHPS scores? Yes. Reputation.com’s Data Science team, led by Brad Null, Ph.D, analyzed two years of HCAHPS hospital survey data from The Centers for Medicare and Medicaid Services, across more than 4,800 hospitals. The team reviewed the data alongside online reviews, ratings and rankings for those same hospitals, and made some significant discoveries: • Online reviews provide early warning of issues that may impact patient experience, giving hospitals the opportunity to identify and address those issues before patient satisfaction scores suffer. • By continually monitoring, managing, requesting and responding to patient reviews, a healthcare organization can address negative feedback that impacts HCAHPS resu
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Reputation.com
Published By: Zilliant     Published Date: Oct 30, 2019
System price drift and an overabundance of price deviations are causing preventable margin leakage for MRO/industrial distributors
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mro, industrial distribution, maintenance, repair, operations, overhaul, distributor, b2b, amazon, margin, revenue, deal management, price management, price optimizations, sales intelligence, skills gap, negotiation, guidance, data science, ecommerce
    
Zilliant
Published By: Zilliant     Published Date: Oct 30, 2019
System price drift and an overabundance of price deviations are causing preventable margin leakage for electrical products distributors
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electrical products, distribution, distributor, b2b, deviations, system prices, margin, price optimization, price management, deal management, cost fluctuation, negotiation, guidance, data science, pricing process, ecommerce, amazon, cost, costing, customer-specific price
    
Zilliant
Published By: Zilliant     Published Date: Oct 30, 2019
System price drift and an overabundance of price deviations are causing preventable margin leakage for building products and construction distributors
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building products, distribution, distributor, construction, b2b, deviations, system prices, margin, price optimization, price management, deal management, building starts, recession, cost, costing, sales, negotiation, guidance, data science, customer-specific price
    
Zilliant
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
Published By: Oracle     Published Date: Jul 08, 2015
John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers’ decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
Tags : 
    
Oracle
Published By: Oracle     Published Date: Jul 08, 2015
John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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Oracle
Published By: Infosys     Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next. Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
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Infosys
Published By: Cloudian     Published Date: Feb 15, 2018
Not so long ago, if you asked a business executive, “what is the most irreplaceable part of your business?” they might have pointed at their building or their employees. The really forward-thinking execs may have chosen their customers. But the reality is that businesses have insurance to deal with the loss of a building; they can hire new employees; and they can acquire new customers. The one thing that is truly irreplaceable is their data. Lose that and you really are out of business. The potential risks to your data can be as subtle as the malfunction of tiny areas on a disk drive or as enormous as the failure of an entire data center. That means it’s not enough just to protect your data — you must also select the best way to protect it. To deliver that protection in an economical and rapidly recoverable way requires a system that gives you complete control to determine levels of data protection based on the type of data. In this paper, we’ll talk about the science of data protect
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Cloudian
Published By: MuleSoft     Published Date: Apr 15, 2019
Healthcare organizations across the care continuum, from hospitals and health systems, to health insurers, to life sciences companies, must digitally transform in order to address legislative and market disruption. Driving digital transformation in healthcare requires connectivity across an ever-increasing number of applications, data and devices. Because of this, connectivity has emerged as a bottleneck that slows the development of new applications and the adoption of new technologies. In response, leading healthcare organizations have adopted API-led connectivity, which eliminates this connectivity bottleneck and enables 2-5X IT project delivery. Download this eBook to learn: How leading healthcare organizations like Sutter Health, Premera Blue Cross and Hologic are leveraging API-led connectivity to accelerate IT project delivery speed How APIs can be used to address the unique business and IT challenges faced by health systems, health insurers and life sciences companies How Mu
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MuleSoft
Published By: HP     Published Date: Aug 03, 2009
The emergence of genomics and advanced gene sequencing techniques has made the collection and storage of data a centerpiece of biomedical research. As the data generated in biomedical research becomes richer and richer, having the infrastructure in place to deal with data growth efficiently is going to be a cornerstone of biomedical data management. This white paper examines a joint solution that features data reduction technologies combined with a network-attached storage system that offers storage optimization capacities along with an affordable, manageable, and scalable petabyte-ready storage platform.
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data, storage, genomics
    
HP
Published By: SAS     Published Date: Jun 27, 2019
Hear about real-world use cases that demonstrate how data, advanced analytics, AI and IoMT are helping life sciences companies increase efficiency.
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SAS
Published By: SAS     Published Date: Aug 06, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: SAS     Published Date: Aug 19, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how Reltio and IQVIA provide holistic data management solutions for traditional pharma, as well as for emerging biotech and consumer health companies, on Amazon Web Services (AWS).
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AWS
Published By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how a major Healthcare organization is using integrated, reliable, and secure cloud-based solutions from Commvault and Amazon Web Services (AWS) to help address significant data growth while reducing infrastructure costs.
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AWS
Published By: Engagio     Published Date: Dec 18, 2018
B2B demand generation has almost completely re-invented itself over the last decade. The collision of inbound, content marketing, lead nurturing, marketing automation, analytics, email, search, social media and native advertising has transformed the discipline from a dark art to an increasingly data-driven science. But there’s a problem. When it comes to helping to land and expand these major deals, today’s marketing teams are seriously handicapped. The Clear & Complete Guide to Account Based Marketing (ABM) is your guide to solving this problem. It will take you, step-by-step, through this fast-emerging discipline, showing you how to align your sales and marketing team around a strategy that’s optimized for the biggest, most important deals.
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Engagio
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