Two years ago, everything was big data—nothing else mattered. And big data was and today still is the foundation for a successful business analytics strategy. Without data, you have no analytics. But with big data, you have the potential for great analytics. Why? Because big data is all types of
Separating good data from bad and taking advantage of the open source ecosystem offer key advantages for quality analytics and keen insight from valuable data. And two upcoming events offer great opportunities to learn more.
Database management systems may excel at managing highly repetitive data, but they’re less than well suited for storing and understanding the context of textual data. Storing textual information has long been a big challenge. Among several approaches to this challenge, textual disambiguation works
The data warehouse has never been more relevant than it is now. The DW’s role in the big data universe appears likely to grow. What the DW does, above all else (and this is far from its only role in many organizations) is serve as hub for governing your system-of-record data to be delivered into
Regardless of your specific DW requirements, it’s as important as ever to partner with a vendor that has the proven breadth and depth of solutions to fit each of these needs. Gartner cites IBM’s “broad offering and integration across products that can support all four major data warehouse use cases
Thoughtful analytics ought to offer measurable insight into how—qualitatively and/or quantitatively—more data correlates with enhanced economic value. Call it the metalytics—analytics about analytics—of value creation and discovery. Data-driven organizations need to take metalytics metrics
In an environment where lack of trust is common, the data warehouse challenge is not just finding the best warehouse technology, but also determining how to create a warehouse that instills confidence among the business users who receive the output of analysis.
With the explosive growth of data that is expected to reach almost 40 zettabytes by 2020, you don't have to be a big data expert to understand that as the data value grows, current systems simply won’t keep pace.
IBM is empowering organizations of all sizes (and industries) through data and analytics. With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.