Tag "Information Lifecycle Management"
Transformation is one of those buzzwords of the moment usually preceded by Digital, BSS or OSS. It’s at this point that many people start to debate what it actually means. Once you are past that discussion the business must concern itself with how can we transform. To achieve a successful transformation, like any journey, before... more
The phrase Benjamin Disraeli used in the 19th century was: There are three kinds of lies: lies, damned lies, and statistics. Not so long ago, Google created a Web site to figure out just how many people had influenza. How they did this was by tracking “flu-related search queries”, “location of the query,” and applied... more
2014 ended with a ton of hype and expectations and some drama if you are a data security professional or business executive responsible for shareholder value. The recent attacks on Sony Pictures by North Korea during December caught everyone’s attention, not about whether with Sony would release “The Interview” but how vulnerable we as a... more
A few months ago, while addressing a room full of IT and business professional at an Information Governance conference, a CFO said – “… if we designed our systems today from scratch, they will look nothing like the environment we own.” He went on to elaborate that they arrived there by layering thousands of good... more
Data has gone wild. It used to sit still, do its homework, and never speak out of turn. Today’s data is out with a motley bunch of friends, and it’s growing all over the place like a super-fertilized weed. For all its unruliness, data is now the most powerful business asset you’ve ever had. So... more
As mentioned in my post describing the major business processes that comprise a data governance function, the Measure and Monitor processes i) capture and measure the effectiveness and value generated from data governance and stewardship efforts, ii) monitors compliance and exceptions to defined policies and rules, and iii) enables transparency and auditability into data assets... more
As mentioned in my post describing the major business processes that comprise a data governance function, the Apply processes aim to operationalize and ensure compliance with all the data governance policies, business rules, stewardship processes, workflows, and cross-functional roles and responsibilities captured through the Discover and Define process stages.
As mentioned in my post describing the major business processes that comprise a data governance function, the Define processes documents data definitions and business context associated with business terminology, taxonomies, relationships, as well as the policies, rules, standards, processes, and measurement strategy that must be defined to operationalize data governance efforts. This process runs parallel... more
As mentioned in my post describing the major business processes that comprise a data governance function, the Discover processes capture the current state of the organization’s data lifecycle, dependent business processes, supporting organizational and technical capabilities, as well as the state of the data itself. Insights derived from these steps are leveraged to define the... more
To truly manage data as a valued enterprise asset, data governance must be managed as a business function like finance or human resources. A finance function is comprised of multiple core business processes such as accounts payable, accounts receivable, payroll and financial planning. So to manage data governance as a function, what are the core... more