Category Archives: Sales

STRAIGHT TALK: How to turn data into knowledge

02 Wednesday Aug 2017

Posted by in All Data, Architecture, Big Data, Big Data Analytics, data architecture, Data governance, data management, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, Inform, educate and entertain., information, Information Management, Information Supply Framework, IT strategy, Knowledge, knowledge management, Marketing, Martyn Jones, Martyn Richard Jones, Sales, structured intellectual capital, wisdom

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Martyn Jones

Zurich, Switzerland – 3rd August 2017

Image2If anyone can turn data into knowledge then that person is me.

Let me explain.

I am a data architecture and management professional. For more than three decades I have been acquiring knowledge and experience in the design and delivery of effective data and solutions architectures for a wide range of projects and in a wide range of (mainly large global or regional) enterprise clients.

Therefore I think I can reasonably presume to have built up quite a good personal body of knowledge when it comes to applied data architecture and management.

As well as being a professional in the management and architecture of data, I have also considerable knowledge and experience in the areas of information management, artificial intelligence and knowledge management (structured intellectual capital).

So, what about turning data or information into knowledge? Continue reading →

Brand Aversion: Exhibit One

16 Sunday Apr 2017

Posted by in advertising, All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., Marketing, pig data, Sales, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

San Luis Obispo 16th April 2017

La-mode-sur-tous-les-tableauxTaking a Pop at Traditional Data Warehousing

Pitch: I recently read a report from a data visualisation company on the “Top Ten Big Data Trends for 2017”. This is what they told me “Hadoop is no longer just a batch-processing platform for data-science use cases. It has become a multi-purpose engine for ad hoc analysis. It’s even being used for operational reporting on day-to-day workloads—the kind traditionally handled by data warehouses.” Continue reading →