The Information Management Practice of Tomorrow, Today

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How the big data start-up and harnessing information as THE corporate asset is now critical to corporate competitiveness in 2013 and beyond. I have recently blogged about the Big Data Start-up and, the fact that to effectively establish this type of business capability, it will need to operate outside the current operational processes in your organisation and, […]

How the big data start-up and harnessing information as THE corporate asset is now critical to corporate competitiveness in 2013 and beyond.

I have recently blogged about the Big Data Start-up and, the fact that to effectively establish this type of business capability, it will need to operate outside the current operational processes in your organisation and, adopt the core ideals of a lean start-up to progressively deliver cost effective information intelligence to your ever-insatiable information consumers.

Why disruptive big data thinking matters now not later……

This drives me to consider, what it will take to develop an information practice based on a mature big data model of tomorrow in, todays organisation. Let’s be clear, this will be an incremental journey that balances cost effectiveness with information value and, which is based on actionable metrics to measure progress.

A picture paints a thousand words.

I have created a shared presentation that will help your stakeholders consider the value of deploying big data capabilities now (yes even in this period of economic uncertainty) rather than later and, in a nutshell it proposes the following:

  • The increasing Information Gap and why this matters to your CxO community?
  • The 2013 Market Drivers for early big data adoption
  • The dichotomy of current Information Management practice against emerging 2013 technology trends
  • Why a big data start-up in 2013 is critical to your organisations survival.

An original presentation can be found here, with a downloadable PDF version available on slideshare.

So what is our business case at this point? The answer my friend is in reducing the number of structured IT Interfaces!

It stands to reason that big data technology and the approach of combining external market and customer sentiment (Outside-In perspective) and, the internal operational service fulfilment perspective (Inside-Out perspective) is tantamount to success but, how do I justify this to get my start-up big data factory going?

As our corporate data becomes increasingly unstructured in nature the number of dynamic relationships between key business perspectives and our IT data stores will exponentially rise. The sheer pace of today’s economy coupled with the increasing diversity of channels and mobile devices will mean that traditional information management techniques will not be able to keep up.

Therefore, as that information demand increases, different lines-of-business will attempt to ‘cut corners’ by building tactical data interfaces in different ways to understand increasingly diverse perspectives between operational functions and the customer. 

The impact of this ‘tactical approach’ is that it progressively reduces your organisations data agility over time as any given change to your business model will need to locate and resolve data issues in every duplicitous line-of-business-centric interface. The more overlapping interfaces you have, the more it costs to maintain them and, the harder it is for your business to adapt to the changing marketplace.

Traditional approaches cannot structure the unstructured. big data was born as enterprise search!

Big data technology is based on search technology that works fundamentally by association.

Therefore, holding your businesses dynamic relationships in a big data foundation in compliment to your existing data management foundation is likely to increase your IT agility and, over time, substantially reduce the cost of keeping up with the competition. Surely that is something to think about now rather than later?
 

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