DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.
Traditionally, enterprises have focused their data strategies around business intelligence (BI), but the rise of predictive and prescriptive analytics platforms, in part thanks to machine learning and artificial intelligence, is changing the equation. Even business intelligence itself is evolving, tipping in capabilities previously exclusive to business analytics platforms.
CIOs are embracing data analytics to fuel efficiency and growth, but not every analytics effort produces meaningful results. Here’s how leading CIOs are successfully tapping data analytics and machine learning to boost revenues or cut costs.
Microsoft Power BI provides organizations with self-service business intelligence tools that allow users to analyze, visualize and share data using the familiar Microsoft Excel spreadsheet. Here are 12 success stories built on Power BI.
Arccos Golf is leveraging the data generated by its golf performance tracking system to provide a subscription-based artificial intelligence caddie to help golfers make data-driven decisions on the course.