Data projects have traditionally started in IT or by line-of-business managers looking to get ahead. But now that data is more often viewed as a valuable asset, C-suite executives are proposing and sponsoring big data projects more regularly, according to Read More…
Marketers are looking to get the right message in front of the right person at the right time—and use data to do it. What if you had a suite of software that did all the heavy lifting, from data quality Read More…
Procurement is big business—and produces big data. Manufacturer or bank, government agency or restaurant chain, every organization spends significant amounts buying products and services. Raw materials, utilities, office equipment, stationery, and services such as legal advice, advertising, and facilities management. Read More…
When SugarCRM recently held a conference for its developers, partners, and customers, the Cupertino, Calif.-based software company was gratified to see tweets from attendees about “four quick CRM takeaways from #SugarCon” or “looking forward to bringing many of those solutions” Read More…
Once there is enough pain from bad data, then a data quality initiative is sure to follow, according to Lance Speck, Pervasive Software’s general manager of integration products. But cleaning up dirty data is not something that should be done only once a year, or every few months. Just like personal hygiene, it’s something that needs to be built into a daily routine. Read More…
Creating a data visualization that reveals interesting relationships between data isn’t easy. Even if the data is clean and of high quality, the visualizer must mine the data for correlations and find the best way to represent them to his Read More…
With emerging big data use cases, datasets created for one purpose can be used for an entirely different purpose—a dynamic that challenges traditional approaches to data governance. This article, part of a series on implementing big data analytics, explores ways to manage this conflict and build new governance policies. Read More…
Findings from health informatics researchers at Weill Cornell Medical College offer reassurance that even though electronic health records (EHRs) tend towards analyzing data on a technical, rather then instinctive level, they almost always offer health professionals the same health insights as manually-kept health records. Read More…
With compensation analytics, data quality is paramount: a single miscalculation or error in data can cost a company hundreds of thousands of dollars. It pays to manage the data collection and analysis process carefully. Read More…
Every day, HR departments rely on vendors such as Mercer, Aon Hewitt and Towers Watson to conduct in-depth surveys and analyze data to determine everything from compensation pay to employee attrition. So when an HR manager detects an error in Read More…
