In the time I write this article, probably the terabytes of data would be created all over the world. Terabytes will become petabytes, then zettabytes, exabytes, yottabytes, etc. The efficiency and effectiveness of getting information from your data will determine quality of your decision making process and eventually your business success.

Enterprise data warehouse implementation is a huge, complex, long term project. In fact, it is not project at all, but program. Every success has its foundations and supporting pillars. In this article I will discuss three pillars of successful implementation of a data warehouse, based on IBM IFW BDW model.

If you put sentence “Social Networking and CRM” into Google search box, you will get more then 1,200,000 references as result. Apparently, there is undisputed relationship between those fields. Let's consider the relationships…

In BDW implementations, gathering customer requirements and mapping them to IFW BDW model is one of the most critical phase of the project. Let’s find some hints how to do that on the right way…

IBM Information Framework (IFW) Banking Data Warehouse model (BDW) can be used for various purposes. In this article I will tray to catch them all.

Despite the good position in CIO’s priorities, huge number of running projects and significant investments - CRM systems does not rich full potential in giving the benefits for the organizations. Now is time for changes…

After five years as the top CIO technology priority (2004 – 2009) CIOs responding to the 2010 Gartner Executive Programs CIO survey placed BI as fifth among their top 10 technologies. Does this mean that companies have given up on data warehouses, analytic and the rest? Is Business intelligence rally dead?

My point of view: BI IS NOT DEAD! As long as business people making their decisions leveraging on information assets – business intelligence will be alive. However, the truth is that there is a substantial need for changing Business Intelligence approach.

There is a lot of business intelligence projects claimed as “success” upon implementation. However, a revisit after a few months with the business sponsors of the projects shows the absolute failure. There can be a lot of causes for such epilogue. However, the authentic (necessary, but no sufficient) indicator about success or failure of business intelligence project is User adoption.

Today’s business environment is highly demanding in terms of organization’s capacity to respond to the changes in a various areas such as business, regulatory, customer behavior, market, technology and so on. The most valuable resource in order to respond to these changes is information. Consequently, it is very important to make evaluation of your data foundation environment. Are you ready to respond to the changes?

Formalization of Information Strategy will allow to an organization to drive business intelligence on the strategic way and that would consequent with improved alliance with business objectives, efficient and effective solution implementations, faster user adoption and finally with lower TCO and increased ROI.