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Business Intelligence (BI) ; An Absolute Disaster...!!!

Published on 12 February 15
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I am of the opinion that when it comes to commentary with real world insights that are valuable ; you should always count on people who have faced disasters and still come out with flying colors. I took up the opportunity of kicking off a discussion with few of the clients of a leading software development company, who were previously associated with some other competitor company. The point of discussion was Top five Doâs that can turn your Business Intelligence (BI) solution into a disaster
Business Intelligence (BI) ; An Absolute Disaster...!!! - Image 1

To everyoneâs surprise the count of Top Five surpassed in just few minutes. Findings are enlisted for ready reference to all my readers which proves my statement Business Intelligence (BI); An Absolute Disasterâ¦!

Before we start I would say that this is no attempt to lessen the great success stories that organizations have to put across when it comes to business intelligence. However; as grown up professionals we should accept the fact that some BI initiatives might turn out to be disasters. This is a humble effort to have an insight about the reasons/causes which make BI initiatives disastrous for organizations. Failures are known for being too very instructiveâ¦!!!

Technology/Tools

  • How can you assume that BI toolset will make up for not understanding the business
  • You assumed that BI tools will automatically resolve business challenges, instead of using BI to solve the problems
  • Your 7th cloud thought that BI solution is a generalized tool for various usersâ¦which, it is not. They are not a one-size-fits-all type of solution; still a lot of you would have tried to implement those glittery things without understanding whether it really is a requirement for your organization or not at all.

Data Assumptions:

  • Data quality has to be a technical glitch
  • Data quality should not be a concern for all
  • Some flowery charts from bad/unsorted/non reliable database is still good BI
  • Same visualization should work fine across various datasets
  • All data is not significant; so some can and should be excluded
Insights
  • You have a grudged approach towards messenger who delivers unexpected findings in form of alerts
  • You are skeptical about sharing BI findings with stakeholders - customers & suppliers
  • Any & every small change to any report will call for a internal or external billingâ¦.why you want to kill the essence of analytics.
  • You were insane enough to take up projects relying on existing reports and recreated them in BI with absolutely no changes â why on earth would you do something like this?
Training
  • Back of the mind you knew how important training on BI solution was across your organization; but you were running short on funds every time, while shelling out the cost of training..
  • You have enough brains to understand and know that solution providers make more money from licenses and hence they make statements You have agile staff â they donât need trainings and refreshers.

Implementation/Outset

  • You though USE CASES are marketing whoopla so you implemented BI technology without referring to any of it
  • You were not mentally prepared to disrupt your conventional process to implement and gain BI success
  • Once again you assumed that IT and business users are separate identities, which landed you in a soup of irreversible scheduling errors of priorities and exhausted manpower
  • Primary questions that you popped in form of postmortem â it would have been good if you orate them at the initial stage.
  • Shirking off business responsibilities saying itâs got to be there in the data warehouseâ¦you want me to dive in it or what?
  • Entire solution was designed focusing only on executives; however you should have thought of putting it as a sales tactic or strategy, empowering every single user to act on it and be accountable for anything and everything

Aforesaid were some of the front runners that make your Business Intelligence, a complete disaster. Letâs see some of the take away from the entire exercise:

Attitude/Approach

  • One of the findings that surfaced during this activity was the root cause to all this challenges; which was lack of trust.
  • Many of the participants, who had failed, were not sure who to trust, the business users - IT or the BI experts. Hence it becomes much more important to understand that lack of understanding about technology is the epitome of distrust.
  • However; healthy communication between all the stakeholders would certainly diminish misunderstandings.
Trainings
  • Recurrent trainings and refreshers are the key to success with any BI solution
  • Not to forget that schools and crash courses exist for data enthusiasts, making every individual at varied levels and severity, a data generator and consumer. Computing and primary analytics is no more ITâs ball game â anyone can do it, as and when required. Trends are changing dynamically the way data is generated â looked at and consumed; making a hell lot of difference to importance of training and development.

I have been putting across a note in most of my articles that I am not the one with a crystal ball to make predictions with that Know all theory. Hence; if at any point of time if anyone of you feel that there is something that I missed out in my articlesâ¦please feel free to put in your comments for the betterment of allâ¦..!!!












I am of the opinion that when it comes to commentary with real world insights that are valuable ; you should always count on people who have faced disasters and still come out with flying colors. I took up the opportunity of kicking off a discussion with few of the clients of a leading software development company, who were previously associated with some other competitor company. The point of discussion was Top five Doâs that can turn your Business Intelligence (BI) solution into a disaster

Business Intelligence (BI) ; An Absolute Disaster...!!! - Image 1

To everyoneâs surprise the count of Top Five surpassed in just few minutes. Findings are enlisted for ready reference to all my readers which proves my statement Business Intelligence (BI); An Absolute Disasterâ¦!

Before we start I would say that this is no attempt to lessen the great success stories that organizations have to put across when it comes to business intelligence. However; as grown up professionals we should accept the fact that some BI initiatives might turn out to be disasters. This is a humble effort to have an insight about the reasons/causes which make BI initiatives disastrous for organizations. Failures are known for being too very instructiveâ¦!!!

Technology/Tools

  • How can you assume that BI toolset will make up for not understanding the business
  • You assumed that BI tools will automatically resolve business challenges, instead of using BI to solve the problems
  • Your 7th cloud thought that BI solution is a generalized tool for various usersâ¦which, it is not. They are not a one-size-fits-all type of solution; still a lot of you would have tried to implement those glittery things without understanding whether it really is a requirement for your organization or not at all.


Data Assumptions:

  • Data quality has to be a technical glitch
  • Data quality should not be a concern for all
  • Some flowery charts from bad/unsorted/non reliable database is still good BI
  • Same visualization should work fine across various datasets
  • All data is not significant; so some can and should be excluded


Insights

  • You have a grudged approach towards messenger who delivers unexpected findings in form of alerts
  • You are skeptical about sharing BI findings with stakeholders - customers & suppliers
  • Any & every small change to any report will call for a internal or external billingâ¦.why you want to kill the essence of analytics.
  • You were insane enough to take up projects relying on existing reports and recreated them in BI with absolutely no changes â why on earth would you do something like this?


Training

  • Back of the mind you knew how important training on BI solution was across your organization; but you were running short on funds every time, while shelling out the cost of training..
  • You have enough brains to understand and know that solution providers make more money from licenses and hence they make statements You have agile staff â they donât need trainings and refreshers.


Implementation/Outset

  • You though USE CASES are marketing whoopla so you implemented BI technology without referring to any of it
  • You were not mentally prepared to disrupt your conventional process to implement and gain BI success
  • Once again you assumed that IT and business users are separate identities, which landed you in a soup of irreversible scheduling errors of priorities and exhausted manpower
  • Primary questions that you popped in form of postmortem â it would have been good if you orate them at the initial stage.
  • Shirking off business responsibilities saying itâs got to be there in the data warehouseâ¦you want me to dive in it or what?
  • Entire solution was designed focusing only on executives; however you should have thought of putting it as a sales tactic or strategy, empowering every single user to act on it and be accountable for anything and everything


Aforesaid were some of the front runners that make your Business Intelligence, a complete disaster. Letâs see some of the take away from the entire exercise:

Attitude/Approach

  • One of the findings that surfaced during this activity was the root cause to all this challenges; which was lack of trust.
  • Many of the participants, who had failed, were not sure who to trust, the business users - IT or the BI experts. Hence it becomes much more important to understand that lack of understanding about technology is the epitome of distrust.
  • However; healthy communication between all the stakeholders would certainly diminish misunderstandings.


Trainings

  • Recurrent trainings and refreshers are the key to success with any BI solution
  • Not to forget that schools and crash courses exist for data enthusiasts, making every individual at varied levels and severity, a data generator and consumer. Computing and primary analytics is no more ITâs ball game â anyone can do it, as and when required. Trends are changing dynamically the way data is generated â looked at and consumed; making a hell lot of difference to importance of training and development.


I have been putting across a note in most of my articles that I am not the one with a crystal ball to make predictions with that Know all theory. Hence; if at any point of time if anyone of you feel that there is something that I missed out in my articlesâ¦please feel free to put in your comments for the betterment of allâ¦..!!!

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  1. 17 October 15
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    I would like to share one of my opinions. To transform any data into any database fast and easily ETL tools are required. There are so many useful tools. People from all over the word can use whenever they need to transform any data into any database faster. So, I think ETL tools is the best tools ever in the word. Business Intelligence

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