How to Determine a Phasing Approach for Your ERP System
In choosing an ERP implementation phasing strategy,
organizations should carefully weigh their options. The ideal phasing strategy
depends on a number of factors and each organization may choose a different
approach.
How quickly will employees adapt the new ERP system? How much risk are we comfortable
with? How much money are we willing to spend? These are just a few questions
organizations should ponder before deciding on a phasing strategy.
Following
are three common implementation phasing strategies and the advantages and
disadvantages of each:
Big Bang Approach – This strategy means all
modules are installed across the entire organization at the same time and all
users concurrently move to the new ERP system. Once the new system is launched,
the old system is completely turned off. Because of this finality, the big bang
approach can be quite risky and organizations should develop contingency plans
to account for the possibility of the new system crashing. Despite these risks,
the big bang approach can work well for organizations that are looking for a
faster and lower cost implementation.
Phased Rollout – This strategy means that users
move to the new ERP system in a predetermined series of steps. Software can be
rolled out by module, by business unit or by geography. The advantage of a
phased rollout is that employees have more time to learn and adapt to the new
system. Unfortunately, this approach takes longer than the big bang approach
and several adjustments may need to be made along the way to keep the two
systems temporarily bridged. Bridging the two systems is essential because the
first modules to be implemented may not function optimally without critical
information from modules yet to be implemented.
Parallel Adoption – This strategy means the
old and new system are running at the same time during the majority of
implementation. Employees can learn the new ERP system while still using the
old system to perform daily tasks. This strategy is the least risky of the
three because the old system is easily accessible in case the new system causes
major problems. Parallel adoption is more expensive, however, and is somewhat
inefficient since data is being entered twice – once in the old system and once
in the new system. Nonetheless, many companies choose parallel adoption after
weighing the costs of a backfired big bang adoption.
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