To BI and Beyond: A BI Primer

While the first use of the term “business intelligence” was in a 1958 paper by IBM researcher Hans Peter Luhn, it was Howard Dresner in 1989 (later with Gartner) who defined the term and the practice as we now recognize it. Even I could have invented the concept in 1999, but it was Dresner’s talent that he recognized a decade earlier that the disparate data warehouse, analytic and reporting projects and initiatives needed to be unified under a single umbrella.

The fundamental problem that BI addresses is: scarce IT resources.

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Conversational Analytics

When you begin your career your most important skills are your hard, technical skills; the finance and accounting, the statistics and economics, the physics and chemistry, the engineering and calculus. But as I tell my business school mentees, as your career progresses, the emphasis changes such that much sooner than you might initially think, the most important courses you took in college turn out to be psychology, philosophy, literature, sociology and anthropology.

We all bring important skills to the myriad of different conversations we participate in every day, and while confrontation and intervention might not be your cup of tea, applying the right type of analytics to the problem, consistent with its level in the Conversation Pyramid, can immediately make you and your team valuable in either catalyzing your own organizational transformation, or simply improving your organization’s value creation or mission effectiveness.

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Triangles, Tools, and Transformations

Whether you know it or not, you are already doing driver-based budgeting and forecasting with your spreadsheets today, but in a very restricted fashion, with only one primary driver, typcially ‘headcount’ for most line items, and defaulting to a weighting of 100%. Not terribly sophisticated, not at all transformative, but ever since VisiCalc it’s been all we’ve had to work with.

Those days are now over.

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