Taming BIG Data: Taking Back Control, Part 3 – Retention

Tech group The technical workgroup members are responsible for: Assessing the direct and indirect cost of relevant solutions (e.g., storage, processing, resources, BCP, etc.); and Defining a data element cost model. The technical integrated workgroup members are responsible for understanding the cost of existing retention infrastructure and defining a cost model for changes to the…

Taming BIG Data: Taking Back Control, Part 3 – Retention

CIOs and others responsible for corporate technology initiatives are challenged to gain control of the ever expanding amount of data available today. The Taming Big Data series focuses on a solution that builds a sustainable model to keep up with such changes. This solution is to formalize enterprise information management (EIM) programs, thus enabling a…

Taming BIG Data: Taking Back Control, Part 2 – Creation

CIOs and others responsible for corporate technology initiatives are challenged to gain control of the ever expanding amount of data available today. The “Taming Big Data” series of articles focuses on solutions that build a sustainable model to keep up with such changes. In this article, we will look at formalizing your enterprise information management…

Taming BIG Data: Taking Back Control

The common cliché “It’s like herding cats” is an expression that refers to a task that is extremely difficult to control due to chaotic factors. With the ever increasing volumes of data, executives are looking for ways to change the game and simplify information management; to herd the “information cat,” if you will. The solution…

Taming BIG Data: Taking Back Control

The technical representatives in the workgroup will be responsible for: Compiling the list of reports, users and frequency of usage; Categorizing data elements and usage across reports and decision making tools; and Determining the cost of maintaining the relevant systems and developing a cost model. The technical staff may be able to gather statistics such…

Transforming Information into Knowledge, Part III

Keeping up with a fast paced dynamic business is challenging if not impossible for most IT organizations. Fortunately, there are ways to improve agility and provide better support to fast moving enterprises. This article, the last in this series, discusses four key strategies for servicing the agile organization: Establish clear content lifecycle processes; Actively manage…

Transforming Information into Knowledge, Part III

Develop consistent terminology An agile organization needs a taxonomy and enterprise metadata standards to make information more usable and findable. Think about what would happen if different parts of the organization spoke different languages — engineering spoke Spanish, legal spoke French and accounting spoke English. It would take a long time to get information from…

The 4 Principles of a Successful Data Strategy

Many Fortune 500 companies are recognizing enterprise data as a strategic business asset. Leading companies are using troves of operational data to optimize their processes, create intelligent products, and delight their customers. Also, increased demands for regulatory transparency are forcing companies to capture and maintain an audit trail of the information they use in their…

How to Set Up an Enterprise Information Management Program

Companies across the globe are struggling to survive the latest economic downturn. Those companies and organizations that are best positioned to not only survive but strive in this economy are those that are most aware of their information assets and can proactively affect change by quickly adjusting their operations based on changes in market conditions….