Big Data but for How Many Firms?

January 2, 2016

Big Data as a marketing buzzword is everywhere. Even search and content processing companies profess to be skilled in the art of Big Data. This statement is ridiculously easy to say. Delivering is, of course, another matter.

There is a disconnect between what failed middle school teachers, unemployed journalists, and self anointed pundits say and what is semi accurate.

Navigate to “Only 13% Organizations Have Implemented Big Data Analytics Solution That Impact Business.” The chart suggests that the talk is producing proof of concepts and allocations. The majority of the outfits in the CapGemini sample are exploring and implementing partial Big Data projects.

If one builds Big Data systems, perhaps the users will come.

Stephen E Arnold, January 2, 2015

Information Technology Units to Do the Change Thing Now. Right Now!

January 1, 2016

I read “Report: IT Departments to Take on Digital Transformation in 2016.” Yep, wake up one day and say, “I will transform myself.” That works really well. How many New Year’s Resolutions have you created? None. How many have you carried out over a 12 month period? None.

The “report” is interesting because it suggests that organizations’ information technology units will undergo a digital transformation. In my experience, organizations’ IT departments are like a slow moving train. Slow moving trains can be tough to stop.

I highlighted this passage in plum crazy purple:

The report [from Pierre Audoin Consultants] claims digitalization will focus on two connected trends: customer experience and the Internet of Things (IoT). It also predicts that organizations will look to mature technologies like big data/ analytics, social media, mobility and cloud computing to create new products and services. However, new business models, processes and value chains after pioneers like Amazon, eBay, Booking.com, Uber and Spotify will continue to put existing businesses – and their IT departments – under greater pressure to rethink their business models.

To illustrate the firm’s prognosticative capabilities, there are 10 trends for 2016. Here you go:

  • Digitization
  • Cloud computing
  • Two speed IT
  • Industry 4.0/Internet of Things
  • Big data / analytics
  • Sourcing / skill management / offshore
  • Standardization / automation / optimization
  • Agile development / Dev Ops
  • Vendor management
  • Security.

Some of these trends are puzzlers; for example, two speed IT and Industry 4.0. Others strike me as “been there, done that” jargon; for example, standardization / optimization and vendor management.

I am not sure if IT outfits are going to wake up to a new world of change on January 1, 2016. In fact, my hunch is that change is likely to be like black ink spreading across the pocket of a white shirt. One notices and then reacts. Opportunism, knee jerk decision, cost controls, and the necessary adaptation to dwindling revenues characterize many outfits with which I am familiar.

Search and content processing vendors, for instance, have not change much in the last 30 or 40 years. The new terminology does not equate to technological innovation in many cases.

Stephen E Arnold, January 1, 2016

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