Information and data management is getting more challenging these days, with the velocity of data we are producing
and the tendency of increased data production. However, I think the key for the
solution is beyond information and data management. It is about how and what data should be
collected.
I still remembered the raw
data collection from web sites for data preservation. The amount of data growing
makes me wonder even we can store them, how we can catch up in processing them
to make them meaningful, e.g. to transform the data into information, let alone
transform information into useful knowledge. If data processing speeds continue lag behind
data collection speeds, the data collected will not be useful, but add burden to
the slow process. If more meaningless data involved, it’ll add more burden to
the process. Therefore, we need to improve the data collection process, to
collect the data with purpose, e.g. a Service Oriented Data Collection and
Management Process, and collect the data cleanly.
2 comments:
Hi, Yan. Reading your blog, I'm reminded this analogy: who has right to judge human behaviors as being right from being wrong, psychologists, psychiatrists, or psychotherapists? Similarly, who can judge what data/information processing is right or wrong? who is to judge which information processing could lead useful knowledge, when or where.
Enterprise Architecture Manager is a robust repository that organizes, integrates and Enterprise Information Management
Post a Comment