- SOLUTIONS & SERVICES
Our friends at Information Governance Solutions (IGS) have started a blog series on the 5 key steps for Defensible Disposition of Structured Data. During this series they will discuss the business problem / challenges of managing structured data long-term and how a “Defensible Disposition of Structured Data” program can help organizations responsibly address those challenges in a most cost effective manner.
Below is Part 2 of this series, written by John Isaza, Esq., FAI and Tom Reding, CRM which can be found here on their blog.
To begin with, there is no “Easy Button” for the time consuming, labor-intensive categorization of information in structured data systems. This is because structured data presents the following challenges:
Besides the above big picture considerations, some sobering metrics also make the case for devoting time and attention to this problem. For instance, information has quadrupled between 2011 and 2015. (Tweet This!) As of 2013, to find useful information business users waded through:
As of the end of 2015, this will balloon by 3 billion documents and 50 billion more application records to slow our people and systems:
There is currently no mechanism for the business to indicate when they no longer need data and documents. They will drown in debris and the cost of managing this debris will waste budget. Furthermore, as of 2015, 106 petabytes of data will cost $355 million — $150 million more than 2013 — thereby stressing our operations:
Data centers and staff will handle 4x more data in 2015 and almost 10x more data in 2017 than they did in 2011. Finally, in terms of e-discovery, costs are currently estimated at $8.14 per document. Therefore, 67,216,843,320 documents represent a financial exposure of $547,145,104,625:
The above scenarios thus beg the question: How can companies reduce their IT costs and at the same time ensure correct governance over their data throughout its lifecycle? This is the topic that we will cover in the next installment of our blog.
Information Governance Solutions would like to acknowledge and thank IBM for much of the enclosed data.