Testing the Consumer ◾ 51
consumer metrics is part of the competitive landscape. There are many challenges as com-
panies must integrate customer data across multiple sales channels, like brick and mortar,
e-commerce, catalogs, and telephones into one unified view of the customer. Another func-
tion that has developed is the use of “customer hubs.” Customer hubs allow companies
to combine data cleansing, matching, and management with integrated stewardship and
administration. Further exacerbating these challenges is the constant restructuring and stra-
tegic mergers of companies, which combine and recombine different service groups with
multiple information systems and datasets, while creating constant changes in operational
processes. One of our colleagues was recently talking with someone involved in the early
days of Starbucks’ CRM implementation about the challenges he had to overcome in order
to produce usable data from multiple sources and databases; data that eventually made its
way into executive reports and that ultimately impacted Starbucks’ stock price.
Despite these challenges, the demand for better use of consumer data is increasing. Good con-
sumer data-management practices require a strong infrastructure of support, including network,
storage, data backup, communications linkages, and high-speed connectivity. As the technology
shifts toward better collection of data, so do the staff technology skill requirements and abilities to
manage the data. It’s important to adhere to the information management basics, notably:
Identify existing and potential issues in managing consumer information. ◾
Defi ne the method of consumer information fl ow. ◾
Develop and retain people with skills in information technology. ◾
Integrate legacy enterprise applications with the front end of the information management ◾
system.
Evaluate and redesign functional activities on value added to consumer. ◾
Align performance metrics to redesigned processes. ◾
Align metrics with specifi c individual RAA (responsibilities, authority, and accountability) ◾
for monitoring.
e goal of designing strong infrastructure, training staff , and aligning metrics is, of course,
to enable, align, and motivate internal customers and to create a customer-centric approach in
all organizational processes. As with any strategic initiative that requires major change, it is the
employee frontline that will put the strategy into eff ective action. It is management’s job to provide
the leadership, infrastructure, and training required to move the organization toward success.
Although IT leaders seem to be the ones leading the metrics charge in the defi nition of secu-
rity metrics databases, we contend that this should be an interdisciplinary eff ort between both IT
and physical security elements. Metrics should be developed for all aspects of security from IT
security to the various physical security elements such as investigations, workplace violence, emer-
gency notifi cation, emergency response, disaster preparedness, business continuity, supply chain
security, and incident reporting of various types; metrics that refl ect the needs of local and global
security constituencies and their various stakeholders.
A discussion in “ e Metrics Quest,” an article written in the November 2004 CSO Security
Leader newsletter by an anonymous security executive, cited the following lessons learned:
Engage your internal business unit clients in identifying one or two metrics vital to their ◾
success. Consider loss reduction (be specifi c), cost reductions, shorter cycle times, use of
technology versus use of people, elimination of vulnerabilities that impact uptime, reliabil-
ity, and so on.
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