Building a data lake takes meticulous planning –
Data lakes can give organizations more freedom on storing and analyzing data than they get from traditional data warehouses. But building a data lake architecture
Data lakes can give organizations more freedom on storing and analyzing data than they get from traditional data warehouses. But building a data lake architecture
Autonomous cars depend on information. They’re equipped with technology to gather and communicate a vehicle’s position, speed, direction, and braking status. They also recognize traffic
Internal audit departments are increasingly relying on data analytics technology and hiring more people who have sophisticated data analysis skills, according to a new survey.
Companies are gathering more and more data, but many are still struggling to turn that information into business outcomes. In the book Monetizing Your Data:
Historically, manufacturers have worked with management consultants to improve their IT-driven processes and core operations such as purchasing, logistics, and production. The practice is often
Of the three Vs of big data—volume, velocity, and variety—volume is the biggest, literally. Processing large volumes is a signature characteristic of big data analytics;
Iyka dataSpryng (Iyka dS), the only comprehensive data analytics platform capable of analyzing descriptive data, recently caught nearly $130 million in uncollected funds for a
Nigel Turner has worked in data management for over 25 years. He spent much of his career at British Telecommunications (BT) where he led a
Nigel has worked in data management for over 25 years.  He spent much of his career at British Telecommunications (BT) where he led a series
Data is an increasingly important tool to improve city services. Among a city’s most challenging responsibilities is to prepare for, prevent, and respond to emergencies
WHEN you’re driving a car, you spend most of your time looking out the windshield. What’s ahead? When to turn? Any unexpected obstacles in your
Consumerization is a difficult concept to apply to the business-intelligence (BI) industry. By its very nature, BI is about business—gleaning business insights from business data.