Why be Careful with your Data Staff?

Protocols are there to ensure ideal implementation of tasks, especially when the devices or technologies at play are potentially dangerous.

However, complete adherence to protocol can raise many practical issues. For example, in the big data business, there are numerous instances of anti-protocol behavior, without which the quality of the deliverable may be affected.

Here are the glitches often overlooked:

Filtration of meta-data
Collection of incomplete (or partly solicited) information in tele-verification
The ambiguity of permission pertaining to social media

While these are some of the problems that force protocol-oriented members contributing to bad data quality, you may be overlooking how far some of your staff might be stretching the boundaries.

More on the tricks of the trade in the next post.

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