The ‘Sweet Spot of Big Data’ May Contain a Sour Surprise for Some

I’ve been observing a rather distasteful trend in big data for the enterprise market over the past 18 months that has reached the point of wanting to share some thoughts despite a growing mountain of other priorities.

As the big data hype grew over the past few years, much of which was enabled by Hadoop and other FOSS stacks, internal and external teams serving large companies have perfected a (sweet spot) model that is tailored to the environment and tech stack. Many vendors have also tailored their offerings for the model backed up with arguably too much funding by VCs, dozens too many analyst reports, and a half-dozen too many CIO publications attempting to extend reach and increase the add spend. Read More

Yield Management of Knowledge for Industry + FAQs

I decided to share this slightly edited version of a diagram that was part of a presentation we recently completed for an industry leading organization. Based on feedback this may be the most easily understandable graphic we’ve produced to date in communicating the Kyield enterprise system. As part of the same project we published a new FAQs page on our web site that may be of interest. Most of my writing over the past several months has been in private tailored papers and presentations related to our pilot and partner programs. Read More

Converting the enterprise to an adaptive neural network

Those tracking business and financial news may have observed that a little bit of knowledge in the corner office about enterprise architecture, software, and data can cause great harm, including for the occupant, often resulting in a moving van parked under the corner suite of corporate headquarters shortly after headlines on their latest preventable crisis. Exploitation of ignorance in the board room surrounding enterprise computing has become mastered by some, and is therefore among the greatest challenges for emerging technology that have the capacity for significant improvement. I spend more time and energy on dispelling myths than I would prefer necessary, but so be it. The issues surrounding neural networks requires total emersion for extended duration. Many organizations lack the luxury of time, so let’s get on with it.
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Five Essential Steps For Strategic (adaptive) Enterprise Computing

Given the spin surrounding big data, duopoly deflection campaigns from incumbents, and a culture of entitlement across the enterprise software ecosystem, the following 5 briefs are offered to provide clarity for improving strategic computing outcomes. Read More

Legacy of the Tōhoku earthquake: Moral imperative to prevent a future Fukushima crisis

An article in the New York Times reminds us once again that without a carefully crafted and highly disciplined governance architecture in place, perceived misalignment of personal interests between individuals and organizations across cultural ecosystems can lead to catastrophic decisions………While not unexpected by those who study crises, rather yet another case where brave individuals raised red flags only to be shouted down by the crowd, the article does provide instructive granularity that should guide senior executives, directors, and policy makers in planning organizational models and enterprise systems. (click to continue to article) Read More

Press release on our enterprise pilot program

We decided to expand our reach on our enterprise pilot program through the electronic PR system so I issued the following BusinessWire release today:

Kyield Announces Pilot Program for Advanced Analytics and Big Data with New Revolutionary BI Platform Read More

Future of BI in the Organization

We enjoyed a pleasant surprise this week in the form of a new Forrester report that named Kyield as one of the interviews. The topic and content was certainly appropriate for introducing Kyield to Forrester clients—Future of BI: Top Ten Business Intelligence Predictions for 2012, by Boris Evelson and Anjali Yakkundi with Stephen Powers and Shannon Coyne. –I have reviewed the brief paper, finding that I am in substantial agreement with the direction and predictions so I recommend the product. The accuracy of any prediction is of course dependent upon many variables, however, so I wanted to follow up and share a few additional thoughts. Read More