Tag Archives: Analytics

No Silver BI Bullet: Tableau Edition (It’s a good thing!)

For complex work, a very simple app requires a very smart user. That point was driven home to me in Tableau Fundamentals class this week. I don’t see that as bad news at all.

Not so long ago I wrote a piece that attempted to inject a bit of reality into the claims then made by some data visualization tool vendors. I cited unexpected challenges that those adopting such tools for their obvious and compelling data presentation abilities might face. The challenges included unexpectedly complex data integration, establishing solid reporting standards and practices, scaling report distribution as demand for the visualizations expands, and the conversion work that can result from version upgrades.

Although a Fundamentals class, the experienced and enthusiastic instructor and the small, intelligent student group combined to make the two days immensely valuable, going far beyond the basics on the program (more on specific lessons learned will appear in an upcoming post). The instructor’s focus on principles rather than recipes drove home this point: in order to effectively use Tableau you have to understand not only how to operate Tableau itself but also the underlying data management, usability, and statistics principles.

Could it be that adopting easy-to-use Tableau in place of, say, SSRS, Cognos, or SAS requires an upgrade in staff knowledge and expertise? Continue reading

Three things about “Interview with a Data Scientist”

Chemistry-labRecently, I posted “Interview with a Data Scientist” at my company’s blog site. In it, my friend and colleague Yan Li answers four questions about being a data scientist and what it takes to become one. In my view Yan’s responses provide a bracing reminder that data science is something truly new, but that it rests on universal principles of application development. Continue reading

Business Intelligence Requirements: The Payoff’s in the Details

A technique for reporting requirements has emerged as the de facto standard in the business intelligence community. The technique, which emerged in the mid-2000s, is new enough to be as yet unacknowledged Fact Qualifier Matrixby the requirements analysis powers that be. David Loshin describes how it works in this 2007 post:

  • Start with a business question about how to monitor a business process using a metric, like “How many widgets have been shipped by size each week by warehouse?” Continue reading

No silver business intelligence bullets, but still a bright upside

When Tom Petty sang, “Hey baby, there ain’t no easy way out” he wasn’t referring to business intelligence (BI) reporting but he might have been. Current generation reporting engines, AKA data visualization or data discovery tools, market their products with statements like these, emphasizing quick development and ease of use:

  • “The democratization of data is here. In minutes, create an interactive viz (sic) and embed it in your website. Anyone can do it— and it’s free.” (Tableau Products Page)
  • “Easy yet sophisticated report design empowers your employees to design professional and telling reports in minutes not days” (Windward)

I like these tools, and I do believe that they can provide a leaner, more productive, and more informative approach to BI reporting than some more mature products.  However, none is a silver bullet for all data integration and reporting woes. Continue reading