Big Data: Misuse and Miscue

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Big Data: Misuse and Miscue

I love playing Pool.  Sadly, I suck.  My buddy Danny – a UCSF Scientist – has the patience of Job, and strikes the Cue Ball very well.  When we go to the Pool Hall, he beats me rudely.  I can’t seem to make the ball do what I want. He can, so he wins.

 

It’s all about control.

 

Oddly, Big Data is a lot like pool. If you control it properly, you win.  If you control it improperly, you….well you get the point.

 

In most IT organizations, “governance” over Big Data access is complex, and rightly so. Many CIOs will be quick to agree that their organizations’ data governance paradigms are focused only on controlling data usage internally.  If you think of data governance as quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information, this makes a great deal of sense.  The enterprise data warehouse is purpose built for internal usage.

 

Unfortunately, as Bob Dylan said “The Times They Are a-Changin.”  The Big Data Economy is here.

 

The tsunami of Big / Fast data generation, and the unmet demand for large scale data sharing, exchange and monetization activity, requires a far more agile approach to controlling how, when and by whom Big Data is used, internally and externally.

 

To flourish, to win, CIOs are recognizing that their companies actually do not have enough Big Data.  Ironic, right?

 

Not so much.  Few if any organizations are 100% vertically integrated.  Data is another input, sometimes those come suppliers and sometimes they come from your partners, clients, etc.

 

Increasingly, data needed to solve specific problems will need to be imported from outside the organization.  The reverse is true: your Big Data resources are hugely valuable inputs into the business process of other companies, too.

 

Evidence of this abounds, Big Data brokers are everywhere – especially for AdTech.  But, this is only the beginning.  The ultimate value of sharing, exchanging and monetizing Big Data resources is to address any business problem – at Near Real Time speeds.  Harnessing Fast Data from IoT sensors, Smart Devices, Apps and Vehicles in Near Real Time has enormous economic potential.

 

To enable and accelerate secure sharing, exchanging and monetizing of Big and Fast Data resources, CIOs should consider our approach: Self-Governing Data .

 

Decentralizing the granular access rights of each data element within each Big and Fast data set, directly embedding that control within the data itself, prevents misuse.  Preventing misuse can help break down silos.  That is a great thing – silos cost money.

 

It also prevents miscues.  We don’t get too many chances to hit the ball right, before the game is over.

 

Learn more about unlocking the value of your Big Data resources, using SecureQuery™ .  We accelerate sharing, exchanging and monetizing Big and Fast Data resources – internally and externally – at scale.

Randy Friedman

Randy Friedman is Founder/CEO of 4Dini Software

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