Data Management Strategy Should be Business Centric

What challenges are faced by enterprises when they try to secure their data?

According to my experience in this industry organisations face a big challenge in putting a protection layer on data for e.g. securing a particular email or data through a password will create an obstacle for people using it as every time they have to ask for the password and log in.
So when a CIO thinks of protecting the data he should take precautionary measures and should keep in mind his business environment of the enterprise.

What techniques can be used for different aspects of data protection?

In our organisation data protection is at a very nascent stage, we just have a normal windows security password mechanism. As you know in retail there is relatively less need to protect data.

More from Biztech

Future Group - Reliance Retail Deal approved by CCI RBI ban on cryptocurrencies takes effect; prohibition could force investors to tap the black market

What should a data protection strategy entail?

The strategy should be linked to the business requirement and not the business environment you are working in. If the company is into banking and finance they have to embrace the best strategy in terms of what should be available and what should be not and there should be governance to this situation. In such a scenario the CIO should make sure that the governance is applied to the business application and this strategy should be business and industry centric.

Is Integrated Data Lifecycle Management a good approach for enterprises?

Integrated data lifecycle management will prove to be a good approach only when the three scenarios are in place and they are Archiving, Relevance of data and data available on the shelf. The first would be if the archival policy is crystal clear with all the important data in place. Second, the area for data on the shelf should be very clear without any inappropriate data and last, but not the least, putting in place a process for DLP life cycle management. If enterprises follow this approach then integrated data lifecycle management will prove to be the best practice in the times to come.