The number of Master’s programs in data science has grown from a handful to more than 170. But is it really wise to make the investment in a Big Data-focused degree?
Organizations in the public sector are driven toward a more formal data management and analytical strategy for three main reasons.
Business leaders are expected to hasten the decision process and make sense of an influx of big data faster than ever before. Here are five secrets to turning Big Data into “fast” data, through effective data management and integration.
For small companies, the order of the day is far less about earmarking funds for technology investment, and more about working to build a widespread analytical mindset and decision culture.
Educational organizations that transform data on their students into digestible and actionable insight stand to gain substantially when it comes to budget management, as well as student performance.
Leading companies expand on-premise analytical activities into cloud environments to reduce reliance on IT and improve analytical adoption and engagement.
In the fight against underutilized technology, companies in Europe are leaning on their users and an increased propensity for data-driven decisions.
Analytics is a relative newcomer to the mobile and cloud space, but that hasn’t stopped it from being increasingly relied upon by the Best-in-Class.
A recent Aberdeen report explored the concept of relevant analytics, and demonstrated how organizations that stay focused on the analytical needs of their users shared several common characteristics that help them perform.
Organizations that lead the pack in delivering repeatable and sustainable success recognize that automation and intelligence are critical to delivering well-managed and trustworthy analytics using Hadoop.