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9 resources not to be Skeptic about Big Data

2 years ago I posted “16 papers and original articles on Big Data” It’s now time to review and extend my original list.

“Big Data” reached its Peak in 2012, according to the Gartner and based on their Hype Cycle. This is what skeptics are saying:   

  • “Correlation is as good as causation, if you have enough data”. If you’re disappointed with Big Data, you’re not paying attention is a must read blog.
  • The biases of digital vs. traditional qualitative non-digital research. In particular for those that are incorrectly using “Big Data” as a synonym of “Web data”
  • Big Data can be bad to companies if it’s misused or confused as “strategy”. Here
  • The Big Data fad exists because of the compulsory "need to feel in control”
  • One of the risks of Big Data is that it might focus a company even more internally than in the past.
  • Multiple conversations gravitate on the amount of “right” data as well as it’s “quality”
  • On the extraction of value: Big Data reminds me of the gold rush, we’re early at a point to really understand how deep the insights can be. Most are sure at the end of the road most companies will use Big Data for more than just storage automation.
  • Many will just opt-out Big Data. “Big Data is not truth”  and many more blogs to come…

 

Still in doubt? You should not be, consume the right resources. There are countless Big data reports, covering marketing and every imaginable application. I’ll highlight key nuggets:

  1. Updated. The IDC digital universe 2020 was refreshed last December, documents the data explosion.
  2. “Big Data: the next frontier for innovation, competition and productivity” by McKinsey turned out to be the main reference for the scarcity of Analytics Human Resources.
  3. The emerging returns of Big Data by Tata is a great summary of the state of Big Data across geographies, industries and solutions.
  4. From the IT Industry, The Software & Information Industry Association published their “Data-Driven innovation” report
  5. The evolution of data products” is one of my favorite reports, it helped me understand why Big Data can be more important than the PC itself.
  6. Beyond Information Technology, Mary Ann Liebert’s “Big Data Journal” covers the short and long term potential of Big Data.
  7. If the industry won’t solves Privacy and Security concerns, the government will. The “Shakespeare review of Public Sector information” provides great suggestions on establishing National Data Initiatives.
  8. For the Investor there is no direct link for “Big Data II” but you might try to contact Merryll Lynch and ask for a copy. A nice analysis of the companies and products behind this revolution. On a related note, Gartner is actually talking now of the creation of a whole new Data-Driven Economy.
  9. Missed on my original list. The “Unreasonable effectiveness of data”. Presumes “Invariably, simple machine learning models and lots of data trump more elaborate models based on less data”

Stay tuned. Follow @luisdans or subscribe to my “Big Data and Emerging Tech” flipboard magazine. (On Windows you need to get BlueStacks first)

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