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Data Quality Research

  • Information Management and MDM: Getting the Most from Clinical Data

    Sponsored by: Information Builders

    This white paper examines the obstacles healthcare payers experience when planning and implementing a strategy for collecting, managing, and exchanging clinical data for value-based care. Discover how to unlock truly actionable data with an integrated approach to information management, data quality, master data management, and more.

  • The 8 Worst Practices in Master Data Management and How to Avoid Them

    Sponsored by: Information Builders

    This white paper explores the 8 "worst practices" of master data management. Find out how to navigate these obstacles on the road to a successful MDM and data governance program for big data.

  • 7 Key Challenges to Value-Based Care: Ensuring Patient-Centered Care With Information Management

    Sponsored by: Information Builders

    This white paper explores how to address some of the challenges of moving towards value-based healthcare with a strategy for improving the way patient data is collected, managed, and exchanged. Access now to find out more about an integrated approach to master data management, data quality, information management, and more.

  • 6 Issues That Can Derail Your Big Data Initiative

    Sponsored by: Information Builders

    55% of big data projects are never finished. Your Hadoop ecosystem is more important to these projects than you may realize, so it is important to fully understand the role it plays in handling big data projects. This white paper discusses the 6 primary issues that are knocking big data projects off the tracks.

  • Optimize Supply Chain Management with an In-Memory Data Platform

    Sponsored by: Intel Corporation

    Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.

  • Analytics with No Limits: Real Time Responsiveness at the Speed of Thought

    Sponsored by: NICE Systems, Inc

    Running up against data speed, accuracy, and accessibility challenges sounds daunting -- but it's not impossible. Discover ways to break through these barriers with automated, real-time and historical analytics tools.

  • Unleash the Power of Predictive Analytics

    Sponsored by: SAP

    By finding the link between historical data and trends, businesses can execute the right promotions and increase sales -- and more importantly, learn what to avoid. Discover ways to make a difference to your bottom line with predictive analytics.

  • How Financial Firms Can Improve Data Quality: Learn From The Experts

    Sponsored by: Trillium Software

    In this white paper, a roundtable of 10 industry experts weigh in on the ways financial firms can improve data quality. Learn more about IT's role in assessing data quality and what these experts recommend for best practices.

  • A Foundational Methodology for Data Science

    Sponsored by: IBM

    You need a guiding strategy to capitalize on the emerging analytics technologies and rising data volumes. Learn 10 steps to help you get there. Gain the actionable insights you need to make smart decisions using the right business understanding, analytical approach, data requirements, and more.

  • Developing a Strategy for Data Lake Governance

    Sponsored by: Zaloni

    Access this webinar to learn about how to develop the best data lake governance strategy to fit your organization's goals. Discover how to start building and managing your data lake while enabling it to deliver valuable, actionable business insight.

  • Self-Service Data Preparation: Vendors, Trends, and Updates

    Sponsored by: Trillium Software

    Learn about the current state of the self-service data preparation and cataloguing market to help you find the best platform to suit your needs. Get an in-depth look at 20 vendors—including SAP, SAS, Trillium, and more—as well as an overview of key market trends.

  • Open Source Machine Learning: The Next Wave of Intelligent Applications

    Sponsored by: IBM

    Open source tools are reshaping the potential of data management with machine learning. Learn now about ways in-memory compute engines can unify developers, data scientists and data engineers in a user-friendly format.

  • Introducing Notebooks: A Powerful Tool for Data Scientists

    Sponsored by: IBM

    An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.

  • Data Lakes: The 360-Degree Approach

    Sponsored by: Zaloni

    With so much data available, managed data lakes are becoming crucial to the modern data architecture. Learn how they can give your enterprise the agility and scalability needed for timely discovery and valuable business insights from big data.

  • Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?

    Sponsored by: IBM

    How do raw metrics and records become information that has (and drives) business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.

  • Leading the Data-Driven Transformation: The CIO & The New Age of Data Quality

    Sponsored by: Trillium Software

    Discover the top 6 challenges modern CIOs face, and explore how to leverage data quality to propel CIO success. Learn the best practices for sustainable information management strategies, allowing your CIOs to transform your business models through data-driven digitization.

  • Cloud-based IT-as-a-Service: Providers, SLAs, and More

    Sponsored by: Catchpoint Systems Inc.

    This white paper explores ITaaS providers, SLAs and more. Examine the keys to an ITaaS business, what reporting and analysis in the cloud can do to your business performance and revenue, and 5 reasons your SaaS business should monitor behind the firewall.

  • Case Study: Enhancing Risk Mitigation with Automated, Flexible Analytics

    Sponsored by: Infogix

    Meta Payments Systems wanted to identify and mitigate information risks proactively within their processing environment by deploying automated analytics. Find out how they enhanced visibility, generated valuable operational insight, and resolved information risks with an advanced analytics platform.

  • Case Study: Guaranteeing Data Integrity from Diverse Sources

    Sponsored by: Infogix

    After initiating the move towards an open systems environment, GuideOne found themselves looking for independent, continuous and automated data analysis in order to control complexity and seamlessly retrieve data from diverse sources and formats. Find out how they leveraged advanced analytics to implement flexible data analysis.

  • MTS Allstream Leverages Advanced Analytics to Reduce Fraud by 200%

    Sponsored by: Infogix

    This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.

  • Case Study: Enhancing Accuracy of Front-to-Back Office Information Flow

    Sponsored by: Infogix

    Société Générale, a leading European financial services institution, decided to adopt a process-centric approach to ensure the integrity of transactions end-to-end. This case study explains how they identified critical information exchanges between apps and assessed corresponding risk by embracing automated analytics.

  • Gartner Magic Quadrant for Data Quality

    Sponsored by: Trillium Software

    Find out how you can effectively manage your data to ensure quality analytic results with this Magic Quadrant report. Compare and contrast top data quality tools to determine which strategy could meet the data quality and data cleansing needs of your organization, and ultimately ensure your data is well-managed and clean.

  • How to succeed in the New Age of Data Quality.

    Sponsored by: Trillium Software

    Businesses need accurate, easy-to-access customer data to make important business decisions. But enterprise data is not always reliable. Discover how a data quality program can ensure accuracy for more effective business decisions.

  • Self-Service Data Preparation: Vendors, Trends, and Updates

    Sponsored by: Trillium Software

    Learn about the current state of the self-service data preparation and cataloguing market to help you find the best platform to suit your needs. Get an in-depth look at 20 vendors—including SAP, SAS, Trillium, and more—as well as an overview of key market trends.

  • The Importance of DQ in the Age of Digital Transformation.

    Sponsored by: Trillium Software

    Data is at the heart of digital transformation, and as an essential element in the majority of business initiatives, organizations need to ensure that their data is accurate. Download this white paper now to discover how data quality tools can ensure a successful digital transformation for your business.

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