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Feature
Article
Your business needs to be responsive to the marketplace by exploiting the IT capabilities of mobility but.......
You have will need to change the decision making processes and the supporting business structures ....
You need to find ways to securely segregate the personal data from the business data ....
The information both personal and business will be exploited in many ways (both good and bad) with unknow consequences ...
What do we have to do to ensure that the benefits of mobility still fit into a balanced work-life world?
Feature Article
Data keeps Growing - Why do we let it?
As data growth continues to increase, business intelligence (BI) strategies at most enterprises seem to be mutating at warp speeds. Now that hardware is quicker and cheaper, storage is greater, and software is smarter, CIOs are turning their attention to expanding and innovating BI initiatives.
Data growth has become a something that is just accepted without question.
Why?
Many did not understand the risks of storing large volumes of data and do not realise that it represents a "toxic liability" as well as an asset to an organisation. It is becoming increasingly obvious that there are "serious" breaches of data protection law by the government and other bodies. Also many cases of data losses that are unreported and some organisations were not even aware that it had gone missing.
The issue that is becoming increasingly serious is that data management is being ignored and the consequential costs are becoming higher than just storing the data.
What do we have to do to get control of this problem before it clogs the business communications and processing arteries?
By just letting the data grow in an uncontrolled fashion is a very ostrich-like behaviour. It ignores such things a entropy whereby there is a point at which additional data will have no significant impact on the results. It ignores such things as currency and relevance of data or the concept of perishability. Data can decay and make any analysis worthless. It ignores the quality of the data which can cause enormous effort in cleansing activities.Taking this into consideration we must conclude that bad data will result in bad analysis results leading to potential bad decisions. Even more bad data will not resolve the problem. All the expensive BI in the world will be of little value when the data clogs the arteries.
What we need to do is establish STRONG data governance with consistent data OWNERSHIP and perpetual data housekeeping - cleansing, revising, deletion, etc.
Just bear in mind that if we just let our houses continue to collect dust they would become uninhabitable - the same goes for our data storage.
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