2. BUSINESS INTELLIGENCE
Business intelligence, or BI, is an umbrella term
that refers to a variety of software applications used
to analyze an organization's raw data.
BI as a discipline is made up of several related
activities, including data mining, online analytical
processing, querying and reporting.
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3. NEED
Boost productivity.
Return on Investment (ROI).
Gain insights into consumer behaviour
Results closer to established goals
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4. IMPORTANCE OF BI
One of the main advantages of investing in
business intelligence software and skilled personnel
is the fact that it will boost your ability to analyze the
current consumer buying trends.
Once you understand what your consumers are
buying, you can use this information to develop
products that match the current consumption trends
and consequently improve your profitability since
you will be able to attract valuable customers.
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5. TO IMPROVE VISIBILITY
If you want to improve your control over various
important processes in your organization, you
should consider investing in a good business
intelligence system.
Business intelligence software will improve the
visibility of these processes and make it possible to
identify any areas that need improvement.
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6. TO TURN DATA INTO ACTIONABLE
INFORMATION
A business intelligence system is an analytical tool can
give you the insight you need to make successful
strategic plans for your organization
This is because such a system would be able to identify
key trends and patterns in your organizations data and
consequently make it easier for you to make important
connections between different areas of your business
that may otherwise seem unrelated.
As such, a business intelligence system can help you
understand the implications of various organizational
processes better and enhance your ability to identify
suitable opportunities for your organization, thus
enabling you to plan for a successful future.
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7. TO IMPROVE EFFICIENCY
One of the most important reasons why you need to
invest in an effective business intelligence system
is because such a system can improve efficiency
within your organization and, as a result, increase
productivity.
You can use business intelligence to share
information across different departments in your
organization.
This will enable you to save time on reporting
processes and analytics.
Furthermore, information sharing also saves time
and improves productivity.
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8. EXAMPLE
One notable recent example of this was with the US
retailer Target.
As part of its Data Mining programme, the company
developed rules to predict if their shoppers were likely to
be pregnant.
By looking at the contents of their customers’ shopping
baskets, they could spot customers who they thought
were likely to be expecting and begin targeting
promotions for nappies (diapers), cotton wool and so on.
The prediction was so accurate that Target made the
news by sending promotional coupons to families who
did not yet realise (or who had not yet announced) they
were pregnant!
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10. EXAMPLES!
Supermarkets provide another good example of
Data Mining and Business Intelligence in action.
Famously, supermarket loyalty card programmes
are usually driven mostly, if not solely, by the desire
to gather comprehensive data about customers for
use in data mining
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11. Perhaps some of the most well -known examples of
Data Mining and Analytics come from E-commerce
sites.
Many E-commerce companies use Data Mining and
Business Intelligence to offer cross-sells and up-
sells through their websites.
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