Who owns YOUR data?

Implementing an effective Master Data Governance solution can be tough…you have to deal with corporate culture, getting management support, formulation policies, implementing rules and much more. However, a less commonly addressed question is: “Who will own the governed data?” Read more

Ongoing Problem of BI/DW Adoption

I came across an article that discusses improving data warehouse adoption among end users.  While the four steps that are mentioned sound reasonable, there’s one important piece that’s missing.  From the very beginning, the data warehouse should be designed and built in collaboration with business users with ongoing engagement throughout the development process.  That means speaking the language of business and managing change at the pace of business. Read more

Why some Data Quality and MDM tools undermine Data Governance

If you ask most people involved with information management and data governance if they understand data quality you would get a resounding “yes!”  However, the true definition of what constitutes quality data is a very complex and subtle one.  Data that is “high quality” for the purpose of, say, operations may be nearly useless for the purpose of invoicing.  In other words, data quality really is relative to the business process that will use the data. Read more

Business Analytics in High Demand

A recent report from analyst firm IDC reveals that the business analytics market grew by more than 14 percent in 2011, and that it will continue to grow by nearly 10 percent through 2016 to reach $50 billion.

The study, Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares, examines the business analytics software market for the period from 2007 to 2016, with vendor revenue trends and market growth forecasts. Read more

What’s in a Name?

We’ve been so consumed with trying to create a definition to go along with the oft hyped term Big Data that I’m afraid we’re losing sight of why it even matters.  The industry seems to have settled upon a generally agreed upon label for this age old problem that has taken on a modern day twist, but a mutually agreed upon definition continues to elude us.  At least we can take solace in knowing it has a name. Read more

Nucleus Research study says analytics pays back $10 for every dollar spent

Nucleus Research reports that after a recent examination of 60 analytics-related ROI case studies, the organization found that for every dollar invested in technologies such as BI, PM, and predictive analytics, organizations get back an average of $10.66.  Nucleus’s analysis included ROI case audits of analytics deployed by customers of leading vendors including IBM, Microsoft, Oracle, SAP, SAS, TIBCO Spotfire, and Information Builders. Read more

A Comprehensive Guide to Agile Data Management

For most business managers, agility is at or near the top of every wish list.  No executive wants to be left behind in the wave of dramatic, often unforeseen changes that are part of a typical business day.   As one wise industry analyst said, “You can’t catch a wave from behind.”  In a sea of business uncertainty, those waves come from all directions and staying in front of them is critical to success.    Read more