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Top 5 Web Analytics Mistakes That May Derail Your Business Train

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‘No Mistakes, no learning’, same principle applies in digital world space. Human beings do not follow the right path until they tend to make mistake by themselves. However, sometimes doing mistakes can really hit the  business hard.

Today where the businesses are striving hard to be competitive and profitable, they sometimes make mistakes by ignoring the health check up of the data. Perhaps, keeping the health of data check may prevent any big losses.

Here are the 5 tips shared below that keeping a check on them can perhaps save any organisation from real time losses.

1) Detailed Data Management Plan

With every search on Google and every account at Facebook, your identity has turned into data. Therefore, it is very important to have a detailed data management plan in place. It includes movement of data, availability of data, security of data, life cycle of data and quality of the data. This check remain as important as sharpening the axe while chopping the tree.

2) People imply tools as Data Management Plan

Sometimes amateur professionals tend use tools (like Google Analytics) without the proper data management plan. This lead to a problem that tool can be underutilized or underutilized in absence of data management plan. Data Management plan actually decide the right time and place for using the tools.

3) Data Quality is not only a IT function

There is a perception that working on data is function of only IT department . IT department cannot create the data , therefore, it is impossible for  them check the quality of data.  Therefore the involvement of business intelligence, along with IT function, must be there to check the data quality.

4) Lack of Data Ownership and accountability

It is quite easy for business intelligence teams to export the data out of the tools to perform some analysis on data and try to build some understanding out of it. If the report send to large audience represent something wrong, then they can easily blame the IT function for bad quality data. Integration of business inteligence with IT functions seems to be an only solution.

5) Security of the data

Noways organisations have already made the provisions for the securing of data from the outside world. However, 88 % of the breaches done far are done internally. Therefore, it is important for the organisation to keep the internal checks on security of data.

All the above bullet sum up to a point that a very frequent checks are required on authenticity of the data. Kindly refer the video attached below for more tips.

 

  • web-analytics


  • There are 2 comments


    • 3 years ago

      Indrajit Goswami   /   Reply

      Wonderful Title. But found some ambiguity in the text. Especially the following two points.
      See Point No:2. “This lead to a problem that tool can be underutilized or underutilized in absence of data management plan”. Its not clear.
      Point No:4. “If the report send to large audience represent something wrong, then they can easily blame the IT function for bad quality data”. The meaning is not transparent.

    • 3 years ago

      Karun Takkar   /   Reply

      Thanks for the feedback Dr. Goswami .
      Point No. 2 should be any tool like Google analytics is either underutilised or overutilised (not used efficiently) in the absence data management plan.
      Point No4 means both the teams (business intellegence and IT team) will always try to pass on the blame if any report goes wrong.
      I will surely work on such sentence formation…

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