Data scientists are being asked to tackle social issues through the companies they work for as part of the firm’s outreach efforts, and through hackathons (events where data scientists gather, pro bono style, and are given problems to tackle together). Some data scientists are even choosing to specifically work with social service enterprises to effect […]
As more organizations adopt big data platforms, concern mounts that application development may suffer from the lack of good practices for managing the data powering those applications. When we talk about big data management in relation to big data platforms (like those combining commodity hardware with Hadoop), it’s clear that big data technologies have created […]
Nobody likes unpleasant surprises. When it’s time to look objectively at what has been happening in terms of customer activity, business productivity or progress toward targets, everyone wants to be able to trust the reports they’re given. And no one wants to be embarrassed by delivering inaccurate reports, no matter what the underlying reason. In […]
Data scientists are considered to have the hottest job right now, but a new study suggests they’re little more than “digital janitors” who spend most of their time cleaning data to prepare it for analysis. Read the full article on CIO.com
Download Now A recent IDG study explores how cloud analytics can unleash the power of big data. According to 76% of the IT and business leaders surveyed, cloud analytics is arguably the best way to traverse big data initiatives. It all comes down to deriving the most value from data in the shortest time. And […]
Download Now A recent IDG study reveals the need to augment Hadoop with data management tools to quickly and fully extract the value of big data. This infographic gives you an at-a-glance look into promise and pitfalls of Hadoop—from the challenges to the solutions.
As this ComputerWorld article discusses, there’s significant power in predictive analytics. However, using predictive analytics to drive web behavior only scratches the surface. In order to realize its potential, we need to find better ways to apply predictive analytics to our relationship management practices.
CMO Council’s Liz Miller on research about how organizations are using analytics to improve how they engage with mobile customers. Read the report.