Is Your Data Warehouse Aging Gracefully?

By |2019-12-16T06:11:14-06:00April 1st, 2014|Blog, Big Data|

How old is your data warehouse? It’s a simple question and probably one you don’t think about much. The majority of production data warehouses are now 15-20 years old and probably very transactional centric. Over the years, you’ve probably remodeled “the house” more than a few times—adding some “rooms” and “upgrades” here and there. It’s starting to feel its age as more Business Intelligence requirements have been added, including Mobile applications and specialized analytics. And more and more ideas seem to show up in your inbox every day, especially Big Data questions.

An Overview of IBM’s Information Management Platform for Data Warehousing and Big Data

By |2020-01-08T03:32:39-06:00December 6th, 2013|Big Data, Blog|

The success of any company is becoming more and more dependent on unlocking the value of data and turning it into trusted information for critical decision making. The ability to deliver the right information at the right time and in the right context is crucial. Today, organizations are bursting with data, yet most executives would agree they need to improve how they leverage information to prevent multiple versions of the truth, improve trust and control and respond quickly to change. If you are an IBM customer, it is very likely you have received some level of education about IBM’s Information Management solutions platform, which includes IBM’s Big Data strategy.

Business Intelligence Challenges and the Five W’s

By |2020-01-08T04:00:23-06:00October 2nd, 2013|Big Data, Blog|

As a much younger writer and marketing guy watching the database technology boom of the 80’s and 90’s, I was fascinated with the advent of the data warehouse surge that started about twenty years ago. I saw it coming and watched it bloom. The promise of a “sandbox of meaningful data” for quicker and easier use by line of business managers was exciting.