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. It all comes back to Data Quality – part I — July 24, 2019
  2. The ‘not so obvious’ considerations to see value in information management processes — June 27, 2019
  3. Data strategy investment vs perceived cost – can they meet in the middle? — May 23, 2019
  4. A new world – a new way of upskilling — April 29, 2019
  5. Cloudy with a chance of risk — April 1, 2019

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

It all comes back to Data Quality – part I

Data quality is a topic I have touched on a few times in the past, and so it will come as no surprise to you that I am focusing on this critical component of data, once again. While it was not initially my intention to discuss data quality for this monthly post, I simply could …

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The ‘not so obvious’ considerations to see value in information management processes

My previous blog post, that addressed finding a middle ground between data strategy investment and cost, highlighted three key areas that businesses tend to ‘waste’ spend on when it comes to their information management strategy. These included managing excess or duplicated data unnecessarily, trying to keep up with the latest in tech and not paying …

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Data strategy investment vs perceived cost – can they meet in the middle?

As data continues to surge into organisations from all different corners within this digitally transforming world, business decision makers no doubt feel compelled to invest in their data strategies and the technology that supports these, for long-term gain – and rightly so. Enterprise Information Management (EIM) has thus become a critical focus for many business …

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A new world – a new way of upskilling

As the world continues to transform digitally, there is also a growing concern around how to retain the skills needed for the workforce of the future. While some believe technology and robotics may be the answer to the current skills gap, the reality is that human expertise is still needed to program machines.

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Cloudy with a chance of risk

You may have picked up from my last few blog posts that I have paid quite a bit of attention to the theme of data governance. With a passion for the theme, I recently picked up on some research specifically around governance of the cloud data warehouse. This caught my interest and reminded me that …

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Steering the ship to Information Governance

  In sticking with the theme of data governance, where my previous post stressed the importance of producing quality data to reap the benefits of the many tech trends around today – I wanted to use this post to share some practical insights on how information governance can be achieved or addressed, accurately.

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Is data governance the secret ingredient to data quality?

Artificial Intelligence (AI), Blockchain, the Internet of Things (IoT), Security and Automation are just some of the tech trends that have been raised for 2019. And what’s the one thing they all have in common? Data of course!

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Data should be in the driver seat – here’s how

While talk around digital transformation has been ‘hot on the heels’ for some time now, I often find myself wondering how much of this talk within business is centred around data, and not just technology. Data transformation goes hand in hand with the move to digital and while by default data will become a key …

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Securing an executive chair for the CDO

My previous blog post clearly established that the Chief Data Officer (CDO) should be sitting at the leadership table of any business wanting to truly capitalise on their data assets. But getting this right is no easy task and you are likely wondering how CIOs can make a case for the CDO role – especially …

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