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DATA ANALYTICS TOOLS ARE OF NO USE WITHOUT THE DIGITAL ANALYST


In today ’s digital world, there is an uncountable number of instruments, tool, software’s etc available to help an analyst do his/her task ranging from a price of $0 to super specialized enterprise computer software which monetary value upwards of $1,00,000. Even with numerous peckers, the main challenge that a troupe faces is to decode the datum and compile it into a meaningful insight and develop solutions from those.

According to Avinash Kaushik, “If you have a budget of $decade 0 to make a smart conclusion about your website, invest $10 in tools and vendor implementation and spend $90 on analysts with big brains. It’s your investment in (people) that will deliver glory.” With so much data available, it holds tremendous potential and exploiting this much info is where the skills an analyst possesses comes into drama,

if the analyst has no clarity of what he is doing or what the companionship expects from him or how to utilize the info then output will be junk and of not much use to achieve the ultimate objective of the whole system, this will render even a super specialized enterprise package useless.

If the analyst is skilled sufficiently then he/she will be able to use the simplest tool and deliver the most useful data.

A trade good analyst understands what his/her companionship’s or client’s business finish and objective are. He/she analyze data in order to arrive at actionable perceptiveness. He/she know his/her tools and is able to recommend the company/client to use the most appropriate ones and get the job done. He/she gather insights and shuffling good sense of the irrational and erratic man being beings.

Conclusion:

“No tool is ever a valuable as the analyst” is indeed a correct statement. The reasons are many and varied. Depending on the amount of data collected, there may be gaps in the data or not enough collected in which case the analyst will have to draw an educated conclusion. 

In simple, even if there are tools which helps to generate database and even achieve to bring into arranged format but understanding and taking out most meaningful insights and track out of it is the job of Analyst.

 

References

·         Pederson, E.T. (2004), Web Analytics Demystified: A Marketer’s Guide to Understanding How Your Website Affects Your Business, Celilo Group Media and CafePress. Available at: Web_Analytics_Demystified_by_Eric_Peterson.pdf

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