Hot off the presses
Featured Reports and Papers
Who's affected by bad data? Everyone. This white paper examines how losing trust in your data destroys economic value. It outlines the tangible and measureable costs of poor data quality, and highlight strategies and solutions for restoring trust and eliminating risk through improved data management.Download
This white paper outlines six simple, yet highly effective steps for preventing and fixing bad data. It also provides best practices in data quality, illustrates real-world success stories, and features Omni-Gen,which provides a single platform, housed in the cloud or on-premises, for generating applications that combine data integration, data quality, and master data management.Download
In this white paper, RTInsights explores the challenges associated with implementing actionable IoT analytics and the critical role integration plays in the process. As for solutions, RT cites iWay Big Data Integrator for its ability to cleanse, enrich, and manage data, and highlights successful deployment and utilization of our analytics and integration tools by customers Ace Hardware and Cascades.Download
Does your website make it easy for potential buyers to find details about your products and services? This paper details how customer-facing technologies help companies increase efficiency, reduce costs, boost customer loyalty, and even increase revenue. Information Builders has a strong history of supporting successful customer-facing BI and analytics applications. Our WebFOCUS platform has been used to build some of the world's largest self-service websites. Download this white paper to learn more.Download
What does an organization really need to successfully manage its data quality?
In this white paper sponsored by Information Builders, David Loshin of Knowledge Integrity deconstructs ten popular myths about data quality management and offers practical alternatives that can help any organization design and implement a smart and effective data quality management strategy.
This white paper explores the technical challenges that hinder big data success. It also details what you need to succeed and highlights the iWay Big Data Integrator – a modern, native solution for Hadoop-based data integration and management that ensures high levels of capability, compatibility, and flexibility.Download
Want to know why business intelligence (BI) applications succeed and BI tools fail? Updated for 2016, this white paper presents the five worst practices in BI and analytics – and helps you to avoid them. You'll learn from the experiences of BI experts and information specialists and avoid mistakes such as Worst Practice #1: "Depending on Humans to Operationalize Insights". It's a great guide to help you think through how to use BI to enable a culture where everyone is empowered to make better decisions.Download
Quite often, big data projects are left unfinished. Why? Inaccurate scope, technical roadblocks, and data silos are just a few of the reasons. In this white paper, we highlight six issues you need to account for to get the most value from your Hadoop ecosystem. And then we provide best practices that can help you avoid some of the most common mistakes made during Hadoop rollouts, so you can put your big data initiative on the path to success from the start.Download
This paper investigates some of the challenges of moving towards value-based care, and outlines how a strategy for improving the way patient and clinical data is collected, managed, and exchanged can address them. It also discusses Omni-Patient™, an information management solution, which combines integration, MDM, and data quality management with pre-packaged models, for a single view of key business domains that can be leveraged to enhance population health, reduce costs, boost revenue, and increase operational efficiency.Download
The road to a successful master data management (MDM) program can be full of detours and dead ends. In this white paper, Dan Power and Julie Hunt from Hub Designs identify the eight worst practices when planning and designing a MDM and data governance program, and show you to get it right. (Updated for 2016)Download
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