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Business
Intelligence Success, Lessons
Learned
Featured
Author - Olin
Thompson
- October 9, 2004
Business
Intelligence Benefits Are
Real
An
extensive 269 pages industry
report, OLAP 3 that was published
in November 2003 by Nigel
Pendse explains that BI benefits
are very real. While the report
covers many aspects of OLAP
and BI, we will focus on business
benefits and overcoming the
obstacles of achieving those
benefits.
According
to the report, approximately
19 percent of companies implementing
BI claim they have met or
exceeded their business goals.
Over 60 percent state they
have at least largely met
their goals. As always, soft
benefits were more easily
obtainable than hard benefits.
A detailed look at the types
of benefits reveals the following:
|
Benefit
|
%
Companies Realizing
Benefit
|
| Faster,
more accurate reporting |
81 |
| Improved
decision making |
78 |
| Improved
customer service |
56 |
| Increased
revenue |
49 |
| Savings
in non-IT costs |
50 |
| IT
savings |
40 |
When
the statistics on benefits
from a BI investment are compared
to those of ERP or SCM investments,
we see that BI appears significantly
more beneficial. However,
it is likely the combination
of the ERP or SCM investment
and BI generate the benefits
because benefits imbedded
in the ERP or SCM system cannot
be unearthed without the BI
tools to dig them out. Moreover,
a common opinion on ERP and
SCM software is that they
generate too much data. BI
allows this data to be analyzed
to bring forward the most
important aspects of the data.
Certain
application areas are more
widespread than others. The
most common applications areas
for BI are
- General
data warehouse
reporting
- Sales
and marketing
analysis
- Planning
and forecasting
- Financial
consolidation
- Statutory
reporting
- Budgeting
-
Profitability
analysis
Challenges
The
implementation
of a BI project
is not without
challenges. Although
the selection
of the BI product
is important,
many of the major
challenges remain
internal. The
number one major
non-product challenge
includes company
politics. Experience
has shown that
single department
implementations
are less challenging
but often result
in fragmented,
non-integrated
approaches that,
in the long run,
increase interdepartmental
issues instead
of simplifying
them. Experience
also tells us
that, as with
many enterprise
projects, those
projects crossing
department boundaries
typically yield
a greater value
than departmental
specific projects.
As
with any project,
the user is very
important and
the interest of
the user must
be considered
key to project
success. The factor
of ease-of-use
for users is critical
in both product
selection and
overall success.
The OLAP 3 report
indicates that
the inability
to get users to
agree on requirements
is a common problem
with BI implementations
and if the requirements
are agreed upon,
staying on the
course without
changing the requirements
proves difficult.
In
the report, the
most common product
issue was response
time. This includes
the inability
of the product
to function effectively
with large databases.
Another limitation
that is both a
product and architectural
issue is the ability
to include various
data sources in
the overall project.
Product
Selection and
Implementation
Resources
When
companies were
asked what they
considered important
in product selection,
they answered
with the following
priorities:
- Functionality
- End
user ease-of-use
- Integration
to existing
applications
- Price
- Performance
- Ease-of-use
for application
builders
However,
when correlated
with success factors,
a proof-of-concept
completed rapidly
proves second
only to performance
as a key criterion
for product selection.
Additionally,
implementation
leadership has
a direct impact
on project success.
Projects led by
BI specialist
consulting firms
are the most successful
and have fewer
problems. However,
the most widely
used implementation
resource is in-house.
Projects led by
in-house business
users are more
successful than
those led by in-house
IT specialists.
Projects led by
large, general-purpose
consulting firms
cost more, are
the least successful
in business terms
and experience
the most problems.
There is little
correlation between
project success
and consulting
dollars.
Strong
evidence supports
that the more
quickly projects
are rolled out
the more successful
they are. Experience
also shows that
integration into
existing applications,
prepackaged analytics
and ease-of-use
are key to compressing
the implementation
cycle.
The
OLAP 3 Report
Nigel
Pendse is a noted
OLAP expert and
industry analyst
who has been involved
with business
intelligence products
for over twenty-five
years, first as
a user, then as
a vendor, and
since 1994, as
an independent
industry analyst.
He is the lead
author of The
OLAP Report, (www.olapreport.com)
a resource that
provides an in-depth
analysis of OLAP
applications,
usage, products,
and the market.
The
third edition
of Pendse’s
comprehensive
OLAP 3 Report
is now available
from www.survey.com/olap
in North America
and www.optimamedia.co.uk
in Europe. The
report is based
upon a survey
of almost 3,000
people from 1,047
user organizations
and 48 countries.
The survey asked
detailed questions
on their purchase
and use of OLAP
products. The
report addresses
questions on various
aspects of BI
projects, including
how products were
chosen, which
applications were
used, who implemented
them, how long
it took, benefits,
performance, reliability,
and many other
technical and
business factors.
Recommendations
End
user organizations
considering a
BI investment
or who are dissatisfied
with the return
on existing BI
investments are
urged to acquire
the OLAP 3 Report
by contacting
one of the two
sources listed
above.
Companies
currently or soon
to be evaluating
BI products should
focus on completing
a proof-of-concept-faster
as an evaluation
tool. End users
should favor BI
products and services
firms that are
focused on the
application of
BI specific to
the end user’s
industry or application
areas in order
to increase the
odds of success.
Vendors
who have not added
BI to their existing
products should
consider adding
it to their portfolio
by using one of
the existing BI
specialists, if
possible. Vendors
with mature products
will find that
the addition of
BI will serve
their customers’
needs and the
vendors revenue
objectives.
| Definitions |
| Business
Intelligence |
The
use of
software
tools
that enable
business
users
to see
and use
large
amounts
of complex
data.
The
following
three
types
of tools
are referred
to as
Business
Intelligence
Tools:
- Multidimensional
Analysis
Software,
also
known
as OLAP
(see
below),
is software
that
gives
the
user
the
opportunity
to look
at the
data
from
a variety
of different
dimensions.
- Query
Tools
is software
that
allows
the
user
to ask
questions
about
patterns
or details
in the
data.
- Data
Mining
Tools
is software
that
automatically
searches
for
significant
patterns
or correlations
in the
data.
|
| OLAP
(On-Line
Analytical
Processing) |
The
use of
computers
to analyze
an organization's
data.
OLAP
is the
most widely
used term
for multidimensional
analysis
software.
The term
on-line
analytical
processing
was developed
to distinguish
data warehousing
activities
from on-line
transaction
processing,
which
is the
use of
computers
to run
the on-going
operation
of a business. |
About
the Author
Olin
Thompson
is a principal
of Process
ERP Partners.
He has over twenty-five
years experience
as an executive
in the software
industry. Olin
has been called
"the Father of
Process ERP."
He is a frequent
author and an
award-winning
speaker on topics
of gaining value
from ERP, SCP,
e-commerce, and
the impact of
technology on
industry.
He
can be reached
at Olin@ProcessERP.com.
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