
Stormpath recently made the big shift from Scrum to Kanban. While we love Agile principles, the Scrum process wasn’t working for us. Kanban made our team more efficient, happier, and increased our […]
Stormpath recently made the big shift from Scrum to Kanban. While we love Agile principles, the Scrum process wasn’t working for us. Kanban made our team more efficient, happier, and increased our […]
Now is the time to process all that enterprise data. With the need for speed and agility, here are some options to process your data in real-time. You can never have enough […]
An Agile approach can be used to incrementally add business value and if deployed correctly, can return great benefits to any organisation. The Agile development approach to data management and business intelligence […]
Measuring Success “Measurement is the first step that leads to control and eventually to improvement. If you can’t measure something, you can’t understand it. If you can’t understand it, you can’t control […]
A white elephant is a possession which its owner cannot dispose of and whose cost, particularly that of maintenance, is out of proportion to its usefulness A mere 10-15 years ago, Business […]
Big data is still relatively new with many organizations, and its significance in business processes and outcome has been changing every day. Here are some of the key best practices that implementation […]
Agile is simple but not easy, says chief systems architect Ralph Hughes. He examines the techniques and technologies that can eliminate miscommunications and wasted efforts that often undermine DW/BI development projects. In […]
Gartner’s top 10 strategy technology trends have the potential for significant impact on organizations in the next three years. While this doesn’t mean adoption and investment in all of the trends will […]
Agile development has emerged at the center of a faster and more responsive approach to IT, but it presents some unique challenges. The rapidly accelerating pace of technology change and a desire […]
Agility comes from self-service data access, rapid dataset prototyping, and data stewardship. Data integration development is caught between the proverbial rock and a hard place. Two important factors are responsible: the accelerating […]