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  • 8 Must-Have Criteria for Self-Service Analytics

    In this white paper, uncover 8 critical factors for self-service success. Learn why considering these criteria when choosing a self-service analytics tool can ensure that everyone is making better decisions, faster.

  • Real-World Strategies for Big Data

    Access this white paper to learn more about the technical challenges that block big data success, and the strategies you need to succeed. Additionally, learn how Hadoop-based data integration can ensure high levels of flexibility.

  • Simplifying and Accelerating Master Data Management

    This white paper discusses the pitfalls and problems of legacy Master Data Management (MDM) methods. Discover new approaches to data mastering, and tools that simplify and accelerate the creation and deployment of MDM applications.

  • 4 Success Actions For A Chief Data Officer's First Year

    Data has become such a crucial asset that many organizations have been prompted to create a role specifically to oversee it – the chief data officer (CDO). But what are the expectations of CDOs, apart from maintaining data? Discover the 4 quintessential actions for a CDO to take in their first year.

  • The Top 5 "Worst Practices" In Business Intelligence

    When it comes to implementing BI tools, even the best-run businesses in the world can make common missteps that lead to lukewarm BI performance. This paper explores the 5 "worst practices" that contribute to poor BI deployments. Discover negative impacts from a technology and a business perspective, and learn how to avoid them.

  • 6 Issues That Can Derail Your Big Data Initiative

    55% of big data projects are never finished. Your Hadoop ecosystem is more important to these projects than you may realize, so it's important to fully understand the role it plays. Learn the 6 primary issues that are knocking big data projects off the tracks, and learn how to get your data management back to where it should be.

  • Finding, Understanding, & Using Geography Analytics With Your Data

    This white paper defines location analytics, and discusses its benefits and potential uses. Learn how information processing companies have partnered with leading location and mapping technologies that enable companies to solve problems at local and global scales. Also, discover who can use location analytics.

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

    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.

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

    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.

  • Buyer's Guide: Leading Analytics and Business Intelligence Vendors

    How can you find one vendor that suits all of your specific business intelligence needs? This buyer's guide evaluates 15 leading business intelligence platform vendors. Discover which vendors lead the pack according to criteria like usability, reliability, TCO and ROI, and 4 more.

  • Assess the Top Tier of Data Integration Tools and Vendors

    This extensive report dives into the world of data integration, considering many vendors and their individual offerings. Access now for an in-depth look into the essentials of data integration.

  • Data Monetization Strategies: Make and Save Money With Data and Analytics

    Are you sitting on your data with no plan? Do you know how to capitalize on information you already have? This whitepaper dives into the world of profiting from data. Access now to discover 4 essential steps to getting started, as well as challenges to overcome and a discussion on the importance of data integrity.

  • Anatomy of the New Decision: Five Factors That Are Shaping the Future of Business Analytics

    Access this informative white paper to find out which technologies are converging to help organizations drive innovation, empowering leaders to make smarter decisions. Learn practical, proven methods you can apply to your current information management strategy, such as cloud-based information services.

  • Improving Patient Matching with the Right Health Information Exchange

    Access this white paper to explore effective and enduring approaches to patient matching. Discover how providers can take these approaches internally to ensure short- and long-term clinical successes.

  • The Mobile Approach to BI

    Access this informative white paper to discover an efficient, effective solution to creating web content specifically for mobile device consumption. Learn the basic steps to a satisfied mobile audience, including how to adapt to a smaller screen size.

  • Magic Quadrant for Data Quality Tools

    According to Gardner, by 2017 33% of Fortune 100 companies will experience an information crisis due to their inability to effectively govern and trust their enterprise information—Will you let this happen to your business?Find out how you can effectively manage your data to ensure quality analytic results with this Magic Quadrant report.

  • The Social Dimension of Business Analytics: Extracting Value from Customer Feedback

    The following informative white paper examines the biggest issues with conventional social media and BI tools and offers insight into a social media analytics platform that can improve the value of customer data, marketing approaches, and more.

  • Mobile Business Intelligence 101: Proven Strategies and Use Cases

    Access the following white paper to examine the growth of dependence for mobile BI and how it can offer either large competitive advantages or some serious headaches. Additionally, learn about the technology to consider and more.

  • Breaking Big: When Big Data Goes Bad

    Learn about the differences between conventional data and big data, as well as how those differences put big data environments at a great risk of data quality problems.

  • How Big Data Can Lie

    Find out how combining advanced analytical solutions, such as predictive analytics, with data integration and integrity technologies can deliver successful analytics and decision management in big data scenarios.

  • Top Six Worst Practices in Business Intelligence: How to Avoid Failure and Ensure BI Success

    The following white paper outlines the top 6 worst practices that most businesses are guilty of doing. Learn how you can easily avoid these common mistakes and start moving towards a far more effective business intelligence initiative.

  • The 8 Worst Practices in MDM and How to Avoid Them

    Learn how you can keep up with the times with master data management and data governance. This resource explains how MDM is a key foundation for trusted data and more efficient business processes. Read on to find out how to improve your master data.

  • The Real Cost of Bad Data: Six Simple Steps To Address Data Quality Issues

    Inadequate data governance can cost millions. From regulatory fines for systems and control failures, to any other number of factors, the cost quickly adds up. View this resource to learn more about how your organization can effectively manage data quality.

  • Key Insights for Managing an Effective Business Intelligence Strategy

    Including business users in each part of a business intelligence initiative is essential to the success of a BI project. View this expert E-guide to learn more about key BI management best practices. It discusses common myths and prejudices that hinder the success of BI efforts in companies.

  • Best Practices for Scaling a Big Data Analytics Project

    Big data analytics can be overwhelming for those just beginning, but it's fortunate that many traditional data management best practices are also applicable to big data. In this expert e-guide, discover which best practices easily translate to your big data project, and get advice on how to start, scale, and succeed with your analytics initiative.

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