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Analytics

How data agility propels the world's online marketplace eBay

In today’s economy, every business is terrified of failure. They need to beat the competition to win. The most impactful way to do that is by using data as a strategic asset. Learn how eBay, the world’s leading online marketplace, optimized their data services to meet critical business objectives. Dive into how they experienced zero downtime while migrating their solution and built a framework that now enables the organization with a plug-and-play model that moves at the speed of business.

Achieve Insightful Operational Reporting for Oracle ERPs

Your business needs actionable insights from your Oracle ERP data to respond to volatile market conditions and outpace your competition. But generating custom reports requires deep technical knowledge and the process is often managed by IT. The process can often take weeks, if not months, and, in many cases, the report or dashboard is limited to a single use case and applicable only to a single business unit or user – often only the requester.

Episode 6 | Data Analytics | 7 Challenges of Big Data Analytics

The first 5 challenges of #bigdataanalytics have been solved, bringing us closer to the end of the #datajourney. And here is where it starts getting real: Data Analytics. Today, there are struggles between operational and business analysis departments. SQL and ML functionality natively without data movement or duplication. How can you access and share the data timely, and efficiently, without data movement or duplication or an insane cost increase? Thomas Hazel shares his insights on how any organization can overcome this challenge, easily.

How to customize color ranges in charts

Learn how to change the color settings in a chart by using different metric ranges, and even custom sets of colors. You'll learn how manipulate the color in your charts by setting upper and lower bounds, or by specifying the midpoint in your chart. You will also learn the two places that you can access the color settings in your charts.

Our reflections on the 2022 Gartner Magic Quadrant for Data Quality Solutions

In its 2022 Magic Quadrant™ for Data Quality Solutions report, Gartner® emphasizes the “importance of having a critical approach toward managing the health and fitness of data.” We agree that “poor data quality completely destroys business value.” Organizations simply cannot afford for data quality to be an afterthought. And if you’re currently in the process of evaluating data solutions for your organization, this report can help.