The three secrets you must know to implement a successful Business Intelligence strategy
Being one of the pioneers in business intelligence, we can
safely say not all the Business Intelligence strategy pays off. The reason is
simple, BI is a powerful tool only when its strategy is aligned to that of the
business. Business Intelligence has evolved into cheaper, results-focused and user
friendly over the time. So here are the secrets: The 3S that you must know to
about the successful Business Intelligence strategy.
Small:
Remember the time you have bought in the big group of BI
consultants, who talked with big group of users and then set up a big data
warehouse? Then a year or more the big reports started flowing in. However the
problem is what the user wanted last year is not the same as what the user
wants now.
Solution: Start small, deliver what the user wants for
today and let the BI evolve with the user.
Software cost:
It’s very easy to get carried away by what Business
Intelligence can offer. The problem however is always the cost associated with
it. Business Intelligence solutions are often perceived as expensive to afford
from management’s perspective. This is
also due to the fact the traditional BI solution implementation takes months
and involves lot of other expenses which are costlier than the license itself.
Solution: The software as a service, SaaS BI solutions
provide a good starting point with benefits at affordable cost.
Service
One of the biggest hurdles of implementing a BI strategy is
amalgamation of technical complexity that arises while marrying business outcomes
with means of achieving it. The objective of BI Implementation can easily be
lost in the array of technical acronyms.
Solution: Cloud
based BI solutions offers a hassle free BI environment that is set and
maintained by the provider as service. Hence the users don’t need to worry
about how it’s done, and solely focus on what needs to be done .i.e. the
outcome.
These are simple yet effective ways we can ensure that our
strategy is focused for successful BI implementation. What are the hurdles you
faced during BI implementation? What was your strategy to outcome those? Please
feel free to write in your views in the comments section.
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