Board room, conference call or business luncheon, the end result is to strategize about company endeavors. The big topic lately is the high potential for success with Big Data when starting out with a sound business plan and proven information management technology. Information Management's article “Don’t Make These Integration Strategy Mistakes” talks about how unreliable data integration strategies can lead to information retrieval issues, and an angry IT department in the future.
Here are the five most common integration strategy mistakes that can prevent future integration problems:
*Misidentifying Metadata Definitions- Concept identifiers retain communication but avoid ambiguous tags that can get lost in integration.
*Missing the “Machine” Behind the Business- Give data as much value as the tools and hardware.
*Taking Document Architecture for Granted- Consider all architecture during an integration roll-out.
*Mistaking Data Needs with Latest Hype- Utilize an extensive integration or BI program instead of the latest trend.
*Loading Based Solely on Cost- Break coding and ETL options down by productivity, methodology and documentation rather than a cost-first approach.
In order to improve efficiency and generate ROI with Big Data, companies must evaluate all their options and implement a structured business plan. The most secure strategy is to embrace information management software to quickly and efficiently evaluate, separate and store data while providing enterprise wide access in a secure environment. Information intelligence will improve efficiency by eliminating many of the basic IT functions and ultimately lead to smooth data integration and a sustainable ROI.
Jennifer Shockley, October 12, 2012