Martin

Author's details

Name: Martin Rennhackkamp
Date registered: September 23, 2011
URL: http://www.martinsights.com

Biography

I have been consulting on data warehouse and business intelligence projects as BI team lead, solution architect, business analyst, data modeller, and various other roles since 1990. As my employer is a product-independent service provider, this has been done on a wide variety of technologies, mostly in telecommunications, insurance, retail and banking industries. I have presented papers at many conferences and user groups, amongst others SAS Forum (Geneva), Mimer conference (London), DB User Groups (Nice and Sydney) and CA World and Software Development conferences (USA). I was a contributing editor to DBMS Magazine for three years and have written feature articles for numerous international IT journals. I hold a M.Sc degree (cum laude) on distributed databases, and have attended various Ralph Kimball and TDWI workshops and courses. In March 2011 we relocated from Cape Town, South Africa to Melbourne, Australia.

Latest posts

  1. Does prescriptive analytics deserve more attention? — August 16, 2018
  2. At the core of successful AI lies quality data — June 21, 2018
  3. Is there a right or wrong time to hire a CDO? — May 24, 2018
  4. The value of the CDO — April 26, 2018
  5. What a Chief Data Officer should be – part I — April 10, 2018

Most commented posts

  1. Agile Data Warehousing — 2 comments
  2. Sentiment Analysis — 2 comments
  3. Data Scientist – Job Spec — 2 comments
  4. Big Data Warehousing & Business Intelligence Summit — 2 comments
  5. Measuring Real-Time BI — 2 comments

Author's posts listings

Does prescriptive analytics deserve more attention?

Leveraging data to gain worthwhile insights is fast becoming a natural practice for businesses, as they contend to remain competitively viable in a market where the only constant seems to be change. Data is an asset and those not investing in it are likely to be missing out.

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At the core of successful AI lies quality data

Globally, the world is abuzz around Artificial Intelligence (AI). At the very core of AI lies data – and data of course is what really drives me.

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Is there a right or wrong time to hire a CDO?

Having used my past two blog articles to address what a Chief Data Officer (CDO) should be and the value a CDO should offer an organisation, you may now very well be wondering if it is worth your while to hire a CDO.

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The value of the CDO

Chief Data Officer (or CDO) is a term that cropped up during the early 2000s, and two things became apparent to me. First was that many organisations found themselves caught in the ‘hype’ of having a CDO and second, that far too many organisations appointed a CDO without a clearly defined data analytics strategy.

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What a Chief Data Officer should be – part I

In an age where the role of a Chief Data Officer (CDO) and Chief Information Officer (CIO) are used interchangeably, it is easy to get them confused. In my personal experience in the Business Intelligence (BI) space, I have learnt to ‘accept’ the confusion. Though, I say ‘accept’ here lightly, because the hype and confusion …

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The data science strategy – part II

The eagerness of how data science can help businesses ‘achieve’ still seems be high on the agenda amongst business and IT leaders that are looking for ways to leverage their data. In fact, many are of the view that ‘if this process can help solve our business challenges and create new opportunities, let’s definitely hire …

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The data science strategy – part I

In the world of BI, it is not rare to hear a professional say ‘I want to become a data scientist’ due to the nature of this field being so new and exciting. As an interdisciplinary profession, which requires a candidate to create value out of data, and create it in a way that businesses …

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The thin line between CIO and CDO

The Chief Information Officer (CIO) and the Chief Data Officer (CDO) are both executives that work in related domains within the organisation, unlike CFOs, CMOs and other executives that have distinct areas of responsibility. Both deal with data and information in one way or another. This means that their roles are often seen, and expressed, …

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Data vs. Information – a clear difference that matters

Working in the Business Intelligence (BI) space means that we deal with data and information on a daily basis. Our role is to ensure we make sense of all the data and information coming into businesses – to the benefit of our clients’ organisations. What astounds me is that even today there are still some …

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