beyond data: from analytics TO ACTION (part II)
By
Mike Meyer
Senior Consultant
In Part I of this
article, I defined “business analytics” and provided an example of
how one organization successfully applied the concepts to achieve a
significant impact on profitability. In this article, I offer some
suggestions and tactics that will help you make the best use of
analytics in your improvement programs. (To read Part I of this
article,
Getting the Most From Business Analytics, go to
www.renolan.com/insurance/articles.htm.)
An
essential component of any successful implementation of business
analytics, and one central to the Nolan approach, is a deep
understanding of the industry, products, marketplace dynamics,
processes, business drivers, and competitive factors, among other
things. In our case, that encompasses health care, insurance,
banking, and financial services. Many companies have made
significant investments and great strides in implementing business
analytics software, but most still struggle with effective use of
the resulting management information. A successful analytics program
should provide a positive ROI, which in turn requires taking it
beyond software and reporting and into the realm of management
practices and operations improvement. Nolan’s typical approach to
supporting business analytics efforts includes the following steps:
The
following are some techniques we use when assisting clients with
analytics effectiveness. You may find some of these helpful in your
environment.
Benchmarking
Benchmarks
are an element of business analytics, and they should be viewed as a
means to an end. The end purpose should be to improve or validate
performance, not to simply take measurements or make comparisons. If
you embark on benchmarking, establish a solid link between the
resulting analytics and a comprehensive activity-based management
program. In other words, formally incorporate the benchmarks into
your ongoing improvement initiatives. Benchmarks are often thought
of as an external comparison (e.g., relative to peers, competitors,
or “the industry”), but benchmarks are just as valuable when used
internally to analyze different geographic locations (such as
service centers or sales offices) to determine performance
strengths, weaknesses, and best practices.
IT Assessment
IT costs and
allocations are often not clearly understood. For example, a recent
Nolan bank performance study found that the IT costs at a
participant bank (IT expense as a percent of total bank income) were
significantly higher than those of its peer group—but it wasn’t
clear why. An IT resource allocation analysis was then conducted to
isolate whether the primary issue was on the operations side or the
system development side. The data indicated that on the development
side, over 40% of the activities being performed were not critical
and could be streamlined, consolidated, or eliminated. This provided
a business case to proceed with an initiative to develop and
implement a new project/portfolio management process that would
result in a capacity increase of 10–15%. Ultimately, this lowered
overall IT costs and recast IT cost allocations more equitably.
Cross-Functional Expense Views
Many
financial service organizations view expenses from a functional or
business unit perspective. Functional managers are responsible for
managing these expenses within the scope of their organizational
structure. Business analytics tools can provide new and different
views of expenses that can in turn provide new insights into
opportunity areas. Expenses that seem insignificant within a given
unit can be significant when viewed more broadly. For example,
expense line items such as travel can be selected and views created
at various levels, such as enterprise, function, line of business,
region, and office. Typically, potential opportunity areas are
identified quickly. With further investigation and management
action, those findings lead to more effective policies, improved
consistency, and reduced overall expense.
Unit Costing
Marrying
expense and volume data from different perspectives can create some
interesting insights into unit costs. Unit costs are an ideal metric
for measuring efficiency within an operation by simply looking at
how many pieces of work the organization is getting and how much it
is costing to get each piece done. The key here is to focus on the
core work volume and understand its definition. If a global view is
desired on the expense side of the equation, all expense line items
can be included, as opposed to limiting expense scope to
personnel-related costs. However, both views can be valuable,
depending on the audience. Limiting expenses to personnel costs
provides a more precise view of productivity management
effectiveness. The global view is a bit more complex in that it
requires allocations of overhead, but it can provide a true view of
what a function or process costs an organization.
Product Costing
Product costs
are useful for evaluating product pricing and profitability.
Accurate views of product costs require a fairly sophisticated
business analytics capability, but the value can be significant.
Understanding costs at this level can help to ensure that products
are priced effectively and profitably in the marketplace and to
determine when it makes sense to underprice a product in order to
gain market share. Identifying unprofitable products can lead to
their redesign or elimination in order to improve overall
profitability.
Incentive Plan Financial Soundness
The key here
is to determine if there is a direct relationship between business
results and what is being paid to employees in variable
compensation. Ideally, business result trend lines and incentive
payout trend lines should match one another to a degree, with the
business result line climbing at a faster rate. Business analytics
data can be developed for key business metrics and corresponding
incentive payouts. These become the basis of incentive plan
fine-tuning or redesign to ensure ongoing financial soundness and
ROI.
In Summary
The examples I’ve
provided here are just a few of many possibilities. With techniques
and tools evolving at a remarkable pace, we have really only
scratched the surface of business analytics. But the basics remain
the same: organize data so it “tells a story,” and then use it to
drive performance and profitability improvement. The speed, scale,
and accuracy with which you do this can create major cost and
competitive differentiators for your organization.