David Menninger's Analyst Perspectives

I recently attended Teradata’s Third-Party Influencers Meeting (Twitter Hashtag #TD3PI) in Las Vegas where the company updated industry analysts and consultants on upcoming product plans and the status of two product lines it added via acquisition in the past year. Randy Lea, Teradata’s VP of product management and marketing, provided a company overview recapping highlights and defining the corporate strategy building on its work in 2010 that my colleague assessed. Teradata focuses on three...

SnapLogic, a cloud-based data integration vendor, has extended its product linewith new data quality capabilities. This is worth comment because SnapLogic sits at the intersection of two recent trends in information management.

Cloudera is riding the wave of big data. I first learned about the company while working at Vertica, one of Cloudera’s partners. Customers that managed large amounts of structured relational data also needed to process large amounts of semistructured data such as the type found in web logs and application logs. The emerging channel of social media provided another source of data lacking the structure that would lend itself to analysis in a relational database. Other organizations needed to...

I recently attended IBM’s analyst summit on business analytics. Since last year’s event was largely a preview of Cognos 10, which was several years in the making, I wondered what this year’s event would be about. IBM focused much of the attention on predictive analytics, strengthened by its acquisition of SPSS. My colleague Robert Kugel covered another theme from the event in his post on Cognos Planning. 

As part of our largest-ever research study on business analytics, which surveyed more than 2,600 organizations covering the maturity and competency of business, IT and vertical industries, we looked at how IT is applying analytics to support their own business activities. One of the things we found is that, charged with enabling business units to use information systems as effectively as possible, the IT department, like the shoemaker’s barefoot children in the old tale, typically stands last...

In various forms, business intelligence (BI) – as queries, reporting, dashboards and online analytical processing (OLAP) – is being used increasingly widely. And as basic BI capabilities spread to more organizations, innovative ones increasingly are exploring how to take advantage of the next step in the strategic use of BI: predictive analytics. The trend in Web searches for the phrase “predictive analytics” gives one indication of the rise in interest in this area. From 2004 through 2008, the...