On September 5, 2013, industry expert Charles Yorek, presented an outstanding webinar on the topic of “Achieving Success with Mobile BI.” The slides from that presentation are available for you to download and you can also see the entire recorded webinar.
iOLAP's Insights
Click here to view the September iOLAP iNSIGHTS Newsletter.
The total cost of operations (TCO) of Business Intelligence (BI) systems is often measured in three categories: time-to-completion of projects, on-budget completion of projects, and cost per user of BI applications. There is a key process in every project that impacts all three categories: Business Requirements Engineering.
An effective requirements methodology ensures that project scope is clearly understood and costs accurately estimated. At the same time, when we deliver what users want, usage and adoption of the solution increase the user base. Why then do so many programs not take a closer look and the effectiveness of their approach to this key part of the process?
BI Professionals are used to working with a wide range of products and platforms and typically have a pretty substantial tool belt to be able to work across a multitude of different technologies. Over the past couple of months I took the opportunity to experiment with technologies that are entering the data warehousing ecosystem. These technologies included the Cloudera Sandbox, Hortonworks Sandbox, IBM Big Insights Sandbox, and Amazon’s Red Shift.
The business world continues to evaluate and implement the cloud for some of its IT requirements. The concept of the cloud as a viable IT storage solution as well as a way to cut costs is gaining momentum. But it might prompt the question: is the cloud the right place for a data warehouse?
This is an interesting question for many, and a problematic question for some.
Oracle BI (OBIEE) has been a laggard in the Mobile BI space up until this point. They have provided only very basic abilities in terms of application design and interaction. It is exciting to see they have stepped up their game with the announcement of their new Oracle BI Mobile App Designer.
iOLAP Inc., has signed a Consulting Partner agreement with web infrastructure provider Amazon Web Services, Inc. (AWS), for their new Redshift platform, a petabyte-scale data warehouse service in the cloud.
Click here to view the August iOLAP newsletter.
We’ve all read the articles where someone with a massive data set unleashes the power of Big Data and discovers an awesome and magical insight about their customers that changes the course of history as we know it. We like to call them Magical Big Data Unicorns—so frequently discussed and pursued, but so rarely seen in the wild! We’re not saying they don’t exist, but we would like to suggest a better approach to getting solid ROI from these new-fangled Big Data tools.
Recently I was at a client site discussing the impressive adoption rate of a Mobile BI project that had just gone into production compared to some previous similar projects that had not fared as well. As we white-boarded the particulars of each application’s adoption, we realized that the main difference was how each project had come to be in the first place.