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. The thin line between CIO and CDO — November 16, 2017
  2. Data vs. Information – a clear difference that matters — October 26, 2017
  3. Using business goals to identify data analysts — September 21, 2017
  4. Information and Analytics – is it a business hinderance? — August 24, 2017
  5. The business value of data analytics — July 19, 2017

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

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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Using business goals to identify data analysts

The value of data has transformed many organisations today. In my view, organisations now have a better understanding that if data is used correctly, it can add great value to overall business and bottom line. In fact, according to recent research I came across, 46 percent of organisations have said that they are increasing their …

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Information and Analytics – is it a business hinderance?

In the Business Intelligence (BI) world, as BI experts, we tend to understand and think about the value of information and analytics slightly differently to the rest of an organisation – given we have a passion for data and the value it holds.  We also understand information and analytics to be a competitive driver – …

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The business value of data analytics

For many organisations, it takes time to digest what data analytics is or whether it is worth investigating. As a BI consultant, this was interesting to watch as we understand that using technology to increase competitive advantage is nothing new – however the adoption of this technology is.  So, while perceptions around data analytics adoption …

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Trend Alert – Customer Data Platforms

Recently you may have heard – from your business network or circle of marketing friends – that Customer Data Platforms (CDPs) is the new ‘black’. Can a CDP really be an all-rounded solution to marketing’s most pressing problem, when it comes to enhancing customer experience?

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Sports Analytics

The utilisation of analytics in the sports sector is rapidly increasing. As a keen sports supporter I find this fascinating. Personally I think it’s one of the biggest growth areas for analytics.

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Two Key Areas of EIM

Following on from my previous blog on the topic of Enterprise Information Management, I now focus on two specific areas of EIM, namely data governance and data quality management, which should be key focus areas for businesses in 2017.

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Information Management in 2017

They say that information is the oil of the 21st Century, and analytics the combustion engine. This infamous quote, by Peter Sondergaard, is often shared at industry events, to remind BI experts of the importance of enterprise wide information management.  While I completely agree with this sentiment, I still find that far too many organisations view …

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