Fatal Mistakes to avoid while using BI Tools

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Business Intelligence

• Fatal Mistakes to avoid while using BI Tools

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Introduction

• There are so many BI solutions in the marketplace
  today that its hard to know where to begin. The
  features and functionality can easily sideline
  more fundamental issues, such as the user
  experience, the ease of accessing and managing
  data, and whether or not the tool integrates well
  with other critical business systems. But these
  things can mean more of a difference in terms of
  acceptance of the tool than what bells and
  whistles come with it. Here are the most common
  mistakes to avoid with your BI tool.

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Failing to Choose a BI Tool with the Help of
Business Users

• Big data analytics tools (indeed, most enterprise
  software) are often selected by C-level
  executives and perhaps a team of IT and other
  managers. This fails to take into account how
  workers actually do their jobs each day. When
  selecting your software, be sure that the users
  have input, as well. Otherwise, you may not end
  up with a system that actually meets their needs,
  and youll almost certainly have problems when it
  comes time to implement and adopt the software.

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Selecting an Overly Complex BI Tool

• Its so tempting to go with the tool that offers
  the most functionality and special features. But
  an overly complicated system will just make it
  harder for users to do all of their daily tasks.
  Instead, consider a more basic, streamlined
  system that will be easy to implement, simple to
  train workers on, and begins delivering an ROI
  much quicker. Its usually possible to negotiate
  with the vendor for additional features later,
  when everyone is used to the system and you know
  for sure what they need to make it better.

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Trying to Use Excel as a BI Solution

• Excel is tremendously useful and powerful for
  what it does. But it was never intended to be
  Business Intelligence solutions and is actually
  rather bad at it. Excel makes it extremely easy
  to get bad data into the system, skewing results,
  and the problems are nearly impossible to find
  and fix. Todays BI software come with
  functionality that helps keep the data clean and
  puts the data where its easy to manage and to
  retrieve later. Once you migrate off of Excel for
  BI purposes, you will never look back, except to
  bemoan all the time wasted hunting for the
  proverbial needle in the Excel-spreadsheet-gone-ma
  d haystack.

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Neglecting to Cleanse the Data Establish Solid
Governance Policies

• Part of the implementation process for new BI
  software should be data cleansing and
  establishing sound governance policies to assure
  that (as much as possible) the data stays clean.
  Feeding bad data into a good system only produces
  bad results. Never attempt to make important
  business decisions based on data that is flawed
  for lack of cleansing and rigorous management.

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Not Addressing Specific Problems with the BI Tool

• Unfortunately getting good business
  intelligence is not a good reason to invest in a
  BI tool. In order to get a system that addresses
  the needs of the organization, its essential to
  list and define the exact problems the solution
  needs to address. If you progress from this
  perspective, the tool you end up with will be
  exactly what you need for success.

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