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Archive for March 8th, 2012

by: Phil Simon
08  Mar  2012

Publishing and Big Data

As the author of four books, I pay close attention to the publishing world, especially with respect to its use of emerging technologies. Brass tacks: I often doubt wonder if traditional publishers have truly embraced the Information Age. While I understand the resistance, can’t data analysis and business intelligence help publishing houses improve their batting averages (read: select more successful books, reach their readers better, and avoid expensive mishaps)?

These are just some of the issues broached at O’Reilly’s Tools of Change for Publishing conference. This annual event bills itself as the place in which “the publishing and tech industries converge, as practitioners and executives from both camps share what they’ve learned from their successes and failures, explore ideas, and join together to navigate publishing’s ongoing transformation.” From a recent article reflecting upon TOC 2012:

If one thing was clear from this year’s TOC it’s that the publishing business is finally getting serious about data and analytics. This can mean looking at the granularity of day-to-day marketing strategies — such as when to send out a tweet to get maximum re-tweets on your social network (there’s an app for that), making quantitative assessments of the number of books a “library power patron” will buy based on their reading habits (one bought for every two borrowed), or the likelihood of a German to feel bad about downloading a pirated e-book from BitTorrent (not so much).

Years ago, most publishers selected books exclusively upon the recommendations of acquisition editors. AEs have been the gatekeepers, those coveted folks who somehow knew which books would be successful.

Except many of them didn’t.

Bad Batting Averages

In fact, the number of misses by big publishers is pretty astounding. Stephen King received hundreds of scathing rejection letters before he proved himself a book-selling machine. Publishers passed on initial manuscripts of Chicken Soup for the Soul, a franchise that has reached tens of millions of people. John Grisham self-published his first book.

I could go on but you get my point: relying upon hunches and intuition isn’t exactly a recipe for successful decisions, and book sales are no exception to this rule. Slowly, publishes are recognizing this fact and embracing analytics and Big Data. They have to; their margins are being squeezed and they have no choice but to adapt or die. While developing the perfect equation to predict book sales may be impossible (there are always Black Swans), no doubt publishers can benefit from a more information-driven approach to managing their business. After all, it worked for the Oakland A’s, right?

Simon Says: It’s Not Just About Previous Book Sales

Individual judgment will always matter in evaluating any business opportunity. No one is saying that machines, data, and algorithms need to completely supplant the need for human intervention. The data may tell us what, but it may not tell us why? Plus, there are always times in which it makes sense to bet big the other way–to ignore the data. Maybe 20 years ago, an author who sold 20,000 copies of a book might sell more or less the same number. These days, however, publishers are using new and often fuzzier metrics like an author’s (or prospective author’s)

  • Twitter followers
  • site’s Google PageRank or Alexa ranking
  • RSS subscribers
  • size of mailing list
  • number of Facebook fans
  • Klout score
  • and others


What say you?


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Category: Business Intelligence
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by: Bsomich
08  Mar  2012

Is your dashboard working?

It’s no wonder they call it a dashboard… Like your car, your business could scarcely move forward without it. A well designed intelligence dashboard provides a snapshot of the overall health of your operations and gives immediate insight into areas that need improvement or tuning. In short, it’s key to keeping your finger on the pulse of your business.

At a minimum it helps:

1. Provide needed performance metrics and data for decision making.

2. Save time by showing only key reports.

3. Communicate trends with team members and management.

Most BI analytic and reporting programs (Google, Salesforce, Radian6, Raven, etc. to name a few) offer this feature, but how well are we using it? To get the most of your intelligence software, your analytics dashboard must (at a minumum) be up-to-date, designed with your bottom line in mind, and easily shareable and accessible.

It sounds like a no-brainer, but meeting these requirements are often easier said than done. Most organizations struggle with data quality and input delays. Does your sales or HR department update their progress on a daily or monthly basis? Are all the necessary fields being populated? If the information is not timely or correct, your dashboard and decision making will suffer as a result.

If data quality isn’t your problem, what about the design? When it comes to the layout and contents of your dashboard, you could easily be making a crucial mistake. Are you focusing on the correct reports that  impact the bottom line for your department? Is unnecessary information deterring viewers from seeing the real picture? Even the best dashboards need fine tuning as goals and business needs change.

What about accessibility? Possibily the most crucial requirement for having a well-performing intelligence dashboard is the ability for team members to easily access and share information in real time.  Allowing proper edit and access levels that allow the right people to pull reports and make changes sounds elementary, but can often be overlooked when designing your system.

What factors do you think contribute to a well-oiled intelligence dashboard, and how well is yours working?

Category: Business Intelligence

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