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|
ROIT Rank |
Selection Criteria |
Average ROIT Score |
Correlation between |
|
Great |
Top 10% |
522% |
0.95 |
|
Good |
Positive
ROITT |
159% |
0.70 |
|
U.S. Database |
All Companies |
-3% |
0.48 |
|
Poor Performers |
Negative
ROITT |
-233% |
-0.33 |
|
Figure
1: Leading companies are achieving significantly greater
correlation and value from IT spending |
Research
from 2004 indicates that ROIT leaders have begun to invest
in IT at more than double 2003's spending levels, and preliminary
research shows this trend is continuing and expanding in 2005.
Reversing the cutbacks of 2001 through 2003, where superior
performers cut spending more than their peers, today's agile
leaders are expanding investments more than others in recognition
of growing business opportunities and the need to proactively
invest to catch the next wave of economic success.
Those
who expand current performance measurement systems for IT to
better measure and manage IT spending effectiveness - rather
than just efficiency - will enjoy similar benefits. Those who
remain focused on antiquated metrics will lag behind competitors
in two ways: the amount of money invested in IT and the leaders' commitment
to "doing the right things right." In short, CIOs must measure
the bottom-line business value IT has for the entire organization,
to ensure competitive advantage.
The
development of IT value management competency is a rapidly
evolving journey, not an event. The good news is that there
are entry points for all organizations. Those that learn and
adapt quickly can dive in and establish a formal IT value management
office with a vision for fully-integrated post-deployment value
measurement. Others can derive significant value through a
more conservative approach using value measurement training,
engaging independent value experts for tough decisions, or
running proof of concept pilots for validation.
As
companies' budget priorities and accounting has become more
scrutinized, IT executives' mandates have shifted. Companies
are in the middle of a wholesale shift from a cost-based to
a value-based approach, requiring new thinking and measurement
metrics. Those quickest to adapt will be the quickest to profit,
and laggards risk the competition surpassing them.
|
Application Portfolio Scenarios |
Applications |
CPUs Needed |
CPUs Needed |
% of Apps |
CPUs without Workload Optimization |
CPUs with Workload Optimization |
CPU's
Saved |
% CPUs Saved |
|
Single application |
1 |
2 |
8 |
100% |
8 |
8 |
0 |
0% |
|
Few small applications |
5 |
0.5 |
2 |
50% |
10 |
7 |
3 |
30% |
|
Many medium applications |
10 |
2 |
8 |
50% |
80 |
50 |
30 |
38% |
|
Few applications where 2 workloads peak at once |
3 |
1 |
5 |
66% |
15 |
11 |
4 |
27% |
|
Many small applications |
10 |
0.25 |
0.75 |
40% |
8 |
5 |
3 |
38% |
|
Few large applications |
2 |
5 |
25 |
50% |
50 |
30 |
20 |
40% |
|
Many applications, workloads peak at different times |
10 |
2 |
6 |
25% |
60 |
30 |
30 |
50% |
|
Using workload analysis, standard and workload
optimized environments show where the maximum |
The
ROI Analysis
The right consolidation decision takes careful analysis of current TCO, proposed
consolidation options and architectures, required investments, and potential
savings. Because the analysis is complex, internal IT teams should consult
with independent analysts and performance benchmarking sites (such as www.spec.org) and put vendors
to task (with requisite scrutiny), to help propose and analyze current opportunities
and various consolidation options.
Comparing the solutions' TCO and service levels head-to-head with a TCO analysis
tool can provide the team with visibility into potential savings, and provide
justification needed to empower the business to make the right decision.