There has been a lot of talk and content published around the application of Big Data within enterprises.

In the past 6–7 years that we’ve been involved in this sector, we’ve seen a significant amount of money being spent by corporates to get value from various data technologies. But the missing piece we often see and ask our clients is: Where and how is the wider business involved?

For example, many CIOs have approved the spend to build Hadoop clusters or similar but with little thought into how the wider business will go on to use this technology. Furthermore, the business doesn’t really understand the technology and what it could do for them.

The problem doesn’t get any…

It’s that time of year again — time to reflect on what has been and what is to come. As we come into 2017, it feels like the creation of new technologies and their application, and the hype surrounding these technologies, continues. Looking back over the past couple of years, we’ve seen 100’s of companies, worth a combined value of approximately $470 billion*, emerging and trying to take advantage of commercial opportunities. But also, lots of hype around their adoption into solving real problems, or transforming real companies. …

Cross posted from our blog (

I presented at this summit in the company of some really excellent speakers. A number, of whom were Data Scientists, provided some really interesting insight into the use cases of data within their businesses. It proved that there were great practical examples of the application of big data to real business challenges and strategies.

Redone Boumghar from the European Space Agency (ESA) talked about some deep statistical analysis used by them to solve difficult problems, two key points being:

  • Data and analytics are integral to the way ESA functions. It’s not being retrospectively implemented
  • Large volumes of data exist, but the value is in analytics and discovering not only the right algorithms that will work, but that it requires…

Alpesh Doshi

Blockchain and decentralised business models, big data, analytics, AI, digital transformation, innovation, Linkedin:

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