Marketers: What’s Your Fastball? What’s Your Curve Ball?

April 7, 2013

With the “new look” Boston Red Sox off to a fast start to the 2013 baseball season, and in anticipation of Opening Day at Fenway Park, I was reminded of a Kalido blog article with a great baseball analogy that has stuck with me, which nicely compliments some good Marketing advice from a colleague of mine.

Steve Dalkowski. Source: SportsHollywood.com

Steve Dalkowski. Source: SportsHollywood.com

Writing for the Kalido blog, Mike Wheeler introduced Steve Dalkowski, probably the fastest pitcher in baseball history, whose fastball was routinely well over 100MPH, with top speed estimates as high as 125MPH. Dalkowski struck out 1,396 batters in just 995 minor league games during the late 50′s and early 60′s.

Unfortunately, Dalkowski’s incredible fastball was also incredibly unpredictable: He also walked 1,354 batters and won only 46 of the 236 games he started.

Mike Wheeler’s well-taken point was that focusing on raw speed at the expense of reliability is unwise and self-defeating, whether you’re talking about a super-fast pitcher with no control, or super-fast data delivery without the controls of (Kalido) data governance.

But there’s much more to Steve Dalkowski’s story – with a related Marketing lesson as well.

Read the rest of this entry »


Big Data Analytics, Business Intelligence and the Mind of Sherlock Holmes

January 24, 2013

“My name is Sherlock Holmes. It is my business to know what other people do not know.”
— The Adventure of the Blue Carbuncle

Sherlock Holmes, Big Data Analytics, AttivioSherlock Holmes turned 125 years old last year, and he’s never been more alive and well. The world seems more captivated by Sir Arthur Conan Doyle’s legendary London detective than ever before. Much of this excitement has been driven recently by the smash BBC One TV series Sherlock, drawing rave reviews for its update of Holmes and Dr. Watson as present-day Londoners fighting 21st-century crime. (Similarly, the U.S. version of the series, Elementary, is also a major new hit.)

Pop culture critic and author John Powers cleverly explains Holmes’ enduring appeal as a literary hero and cultural icon:

Sherlock Holmes “possesses no superpowers — his parents weren’t wizards, no radioactive spider bit him — [and yet] his gifts are cool enough to be superhuman. Playing to our fantasies of being smarter than everyone else, Holmes performs jaw-dropping feats of perception.

It’s no coincidence that heightened interest in Sherlock Holmes coincides with the rapidly accelerating, proliferating sources of information around us: databases, documents/text, big data, social media, web content and more. Like Sherlock Holmes, we all want to make sense of seemingly unrelated information and “be smarter than everyone else” — or at least outsmart the competition, outsmart criminals and fraudsters, outsmart seemingly intractable business problems.

A quick review of Conan Doyle’s novels and short stories reveals Sherlock Holmes shared useful advice on effectively accessing, analyzing, and unifying information. His advice rings truer than ever in today’s increasingly information-rich but insight-deficient world.

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The Pursuit of a Complete (Business) Picture: Lessons from Ansel Adams

November 9, 2012

My Attivio colleagues and I often describe unified information access as a technology that truly provides “a complete picture of the business.” I didn’t realize how appropriate that metaphor was until I recently visited a local exhibition of the photography of Ansel Adams (1902-1984).

Ansel Adams, The Tetons and the Snake River (1942)

Ansel Adams, The Tetons and the Snake River (1942)

Renowned for his iconic black and white photos of untouched wilderness in national parks and other areas of the American West, Ansel Adams was a true visionary of modern photography, whose style and innovations exemplify the pursuit of a “complete” picture.

I see a clear analogy between Ansel Adams’ pursuit of “pure” (or complete) photography and the pursuit of a complete business picture.

Read the entire blog article on the SmartData Collective.


When Performance Metrics Attack! Complete Agile BI Requires Going Beyond Just the Numbers

September 30, 2012

I’m currently reading Howard Schultz’s Onward, by Howard SchultzOnward: How Starbucks Fought for its Life Without Losing its Soul (2010). Schultz compellingly conveys his dedication and passion for the company and, of course, great coffee. Returning in January 2008 as Starbucks’ ceo (Starbucks uses lower case for all company titles), Schultz would save the company from its doldrums and rekindle long-lasting success, soundly refuting critics who had proclaimed Starbucks’ best days were behind it.

Just as important as what Howard Schultz did as ceo was what he stopped doing: Soon after returning to the ceo office, Schultz told investment analysts that Starbucks would no longer publicly report its same-store sales, or “comps.” Schultz’s wise decision would prove to be as critical to Starbucks’ revitalization as its new Pike Place coffee blend and Clover brewing machines. As Starbucks’ chairman, Schultz had realized the company had, slowly over time, “defaulted” to viewing the health of the company through the singular performance lens of comps; as long as comps were fine, the company was fine – except that it wasn’t.

In hindsight, it was very fortunate that Howard Schultz had remained active as Starbucks’ chairman and was willing and able to step back into day-to-day operations as ceo. Having pioneered the company’s signature cafe stores, Schultz had the situational awareness to realize that “something wasn’t right” with the company’s customer experience years before comps finally tanked.

What about other leaders who also want true, long term success, but don’t have the same hands-on, ground-floor business awareness of a company founder? How do they acquire similar awareness to avoid overlooking slow, subtle damage to the company and instead make business decisions that promote genuine, long-lasting success? Here are a few essential requirements, based on some insights I drew from Schultz’s book.

Read my entire article on the SmartData Collective site.


The First 3 Weeks of the 2012 NFL Season Were Brought to You by Schlitz Beer-Early 1970s Formula

September 27, 2012

The National Football League’s (NFL) petty 2012 lockout dispute with the NFL referees union has officially ended. Not a moment too soon: The “real” referees will return to officiate all Week 4 games – just in time for the early Thursday Night game – rescuing the rest of the football season from further tarnish, embarrassment and harm at the hands of incompetent replacement referees.

Source: Bleacher Report

Before the 2012 season began, players and analysts warned NFL Commissioner Roger Goodell that the poorly qualified fill-in referees would lose control of football games. They did. The rightful outcome of games would be altered by poor calls and non-calls. Oh, were they ever. And repeated failure to call serious personal fouls would put players at needless heightened risk of serious injury. Sadly, and most unacceptably, that happened as well.

I thought, what other organization, #1 in its field, has ever made such a major non-forced mistake, causing highly visible, self-inflicted harm? My answer rewinds back to my freshman year, Intro to Business, first case study: Schlitz Beer in the 1970s. Once the #1 beer in America, as equally an iconic brand as Budweiser, Schlitz proceeded to lose nearly all of its value by that decade’s end, thanks to inexplicable, self-induced sabotage of its own product.

The NFL’s decision to install replacement referees was a “Schlitz Mistake.”

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Catching People Doing Things Right is Smart, but Less Fun than Catching People Doing Things Wrong

September 19, 2012

With a new football season well under way, I thought people might enjoy this blast from the past:

We all know that “catching people doing things right” and recognizing their good work is a tactic of a winning manager. Doing so boosts morale and helps motivate more people to do more things right. It also avoids the potentially serious pitfalls of setting financial incentives for certain worker behavior.

And then there’s another school of thought focused instead on catching workers doing the wrong things, led by the legendary Terrible Terry Tate.

 


Back to the Future of Business Intelligence with H.P. Luhn

August 23, 2012

When was the term “business intelligence” first coined? You might assume it was first conceived in the late 1980′s; coinciding with the initial emergence of companies offering visual analytic software, but the term was actually first used decades earlier by visionary IBM technology scientist Hans-Peter Luhn in his groundbreaking 1958 research paper, A Business Intelligence System.

Hans-Peter Luhn’s life work at IBM did not include quantifiable (structured) data. Rather, H.P. Luhn’s prolific IBM career focused on documents — letters, research reports, books — the unstructured content of his day.

Reading his paper today, it is clear that Luhn was well ahead of his time, envisioning critical technology components that set the stage for knowledge management and enterprise search today. And now, Luhn’s insights into the effective use of information, such as the vital need to answer three vital overarching questions – what is known, who needs to know, and who knows what – are more relevant to today’s business intelligence than ever before.

Read the entire blog article on the SmartData Collective.


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