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data analytics: All content tagged as data analytics in NoSQL databases and polyglot persistence

BigData Market: IBM Acquires Two Analytics Companies

IBM jumps in the “big data” rush as it announced two major acquisitions in two days. On Wednesday, Big Blue announced that it will acquire security intelligence analytics company i2 […] The second major buy was revealed earlier today. IBM announced the deal to acquire Algorithmics, a risk analytics software and advisory service

The higher on the data stack your business is the more challenges it faces but the higher the reward. The good news is that the well established data companies have started the hunting acquisition season.

Original title and link: BigData Market: IBM Acquires Two Analytics Companies (NoSQL database©myNoSQL)


The Appealing Future of Big Data and Data Analytics

In a RWW article, David Smith writes about the R statistics language:

Over two million analysts worldwide use R, and they come from an extremely diverse pool of industries that ranges from journalism to financial services to life sciences.

If you replace R with data analytics, this could seen as a very appealing future of Big Data and data analytics. Something like a generalized version of data analytics at work.

But before loosing myself in this perspective, I thought I should take a look at the present and see how what is done now is going to lead to that amazing tomorrow:

  1. Tim O’Reilly said a couple of years ago “Data is the Intel inside” and since then we’re seeing lots and lots of companies trying to materialize this slogan.
  2. More new technologies for storage, processing, and analysis are developed and reaching the market then in the 10 previous years.
  3. People are starting to embrace big data overcoming their fear of privacy invasion

All these are good signs that we could consider as a good basis for the future. On the other hand the past and today’s reality tell a different story:

  1. Even if technology costs decreased over time, the investment in creating data startups are still high.
  2. Financial institutions are not investing (too much) into data technology companies.
  3. There are only a few companies that are able to accumulate significant amounts of useful data.
  4. There are even fewer companies that are able to use effectively the huge amounts of data.

What worries me is that even if we will continue to see both a commoditization and impressive improvement of data solutions, by the time all tools will be in place and accessible to everyone, as per the opening paragraph, really valuable data will reside in just a few private well locked silos.

Original title and link: The Appealing Future of Big Data and Data Analytics (NoSQL database©myNoSQL)

Data Analytics at Work

Kelley found its Microsoft SQL-based business intelligence and data warehousing infrastructure couldn’t handle its growing data analytics requirements.

About two years ago, the company started using a new IBM Netezza Twinfin data warehousing appliance, which it supplemented with a second similar system last December. The two systems together, with software from Information Builders and MicroStrategy, form the core of Kelley’s new data warehousing and business intelligence capabilities.

Kelley is also using a variety of predictive analytics, data mining and text analytics tools from SAS Institute to help analyze the data it collects. Much of the analytics used to deliver new and used-car values, targeted advertisements, customized offers and reviews on the company’s website,, are powered by SAS’s software.

This is an exemplary story of the value of Big Data and analytic solutions. But I’d also like to learn:

  1. how they move from Microsoft SQL BI to IBM Netezza Twinfin and SAS
  2. how have they evaluated the business value brought by integrating each of these solutions
  3. what is the return on their investment
  4. what alternative solutions have been evaluated in the process and why these particular ones were chosen

Original title and link: Data Analytics at Work (NoSQL database©myNoSQL)