Tag Archives: Agile BI
I just came back from MicroStrategy World. There were many conversations about social, mobile, cloud and big data. There was strong interest in cloud, clear adoption of mobile, and some big data adoption. eHarmony had a great presentation about how they handle big data with Informatica, and how they’re starting to use Hadoop with Informatica HParser running on Hadoop for processing JSON.
But that wasn’t the number one conversation. The one topic that everyone was interested in – and I talked to nearly 100 customers and partners over four days – was creating new reports faster, or Agile BI. (more…)
Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?
In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):
- BI hasn’t fully empowered information workers, who still largely depend on IT
- BI platforms, tools and applications aren’t agile enough (more…)
If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.
At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)
Most organizations will admit that it takes much too long for the business to get the data they need. IT projects take too long to deliver — from the time business requirements are defined until the project go-live. With traditional waterfall-style project management there is a tendency to throw requirements and deliverables over the fence to the next phase so that by the time the project is delivered the business has moved on and the requirements may have changed. It is a well-known fact that most IT projects fail from the customers’ perspective. That doesn’t mean the project was not delivered but instead means that the project failed to deliver the expected business value. (more…)
So, where have I been since my last blog? Well, I have been working on our new Architect to Architect webinar series on data virtualization, which is very exciting for me as I get to rub shoulders (virtually speaking) with hundreds of industry architects.
The interactive nature and record attendance at these webinars have made one thing very clear – data virtualization is indeed top of mind. In my last blog we discussed the concept and how data virtualization is different or a superset of traditional data federation, especially as it overcomes many limitations of the latter. Wayne Eckerson did a great job at tracking the evolution of data federation in a recent webinar and blog. (more…)