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Site Selection Data Standards
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Download the data standards
spreadsheet (176 Kb Excel file) |
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This data set contains over 1,200 data elements organized into 25
spreadsheets |
- Have you ever wondered what a site selection consultant looks for in
determining what communities to recommend to their client?
The answer is accurate information in a format that can provide an
apples-to-apples comparison of communities.
- How do you know what information a site selection consultant wants?
IEDC and top national corporate site location professionals DevelopmentAlliance have made it
easy for you and developed a comprehensive set of data standards
for communities to present themselves to site selection consultants and
potential businesses. We have even provided a short guide showing you how to get
started using the data guidelines. Try it!
(Adobe PDF) It’s free and easy.
- How do I get my data in front of the people who make the decisions?
To support communities using the data guidelines, IEDC has partnered with
Conway Data to create Developmentalliance.com for
communities to put their data directly in front of the eyes of top site
selectors. The Web site has several data sets that make it the most efficient
and cost-effective way to promote a community on the Internet. It even has a
criteria based search engine that allows users to compare communities using 20
different criteria.
Toward Site Selection Data Standards: Good Business for Economic
Developers
by Jay Garner
For communities to attract new facilities in today’s highly competitive
environment, they need reliable, comprehensive data that can be quickly provided
to corporate location professionals. Economic development professionals working
collaboratively with corporate relocation professionals have devised a
comprehensive site selection data template to guide communities with data
collection, analysis and delivery. The end goal: to adopt the template as the
industry standard for the site selection process.
The decision to create the data template emerged in response to community
cries for help in managing a quickening, more competitive corporate relocation
process. Over the past decade, not only have the numbers of corporate expansions
and relocations increased but the time frame in which they occurred tightened
dramatically. For businesses competing in today=s relentless climate, the
facility siting process has been reduced from six months to between 45 and 90
days. As a result, communities now receive a growing number of information
requests and questionnaires from a wider range of location professionals, all
requiring different types of data organized in different formats that must be
completed in shorter response times. Location consultants struggle with
communities' inability to provide the amount of reliable data needed in the
available time frames.
Responding to this need, the IEDC formed the Site Selection Data Task Force.
Members included IEDC representatives, location consultants from leading U.S.
site selection consulting firms - including PricewaterhouseCoopers, Ernest &
Young Kenneth Leventhal, Deloitte Touche Fantus, Wadley-Donovan, and Fluor
Daniels - community representatives from Richmond, Cleveland, Indianapolis and
the state of South Carolina. Canadian representatives also acted as advisors,
with the Economic Development Association of Canada joining the effort later;
Canada had already established common data for all its provinces.
The Task Force examined what could be done to improve the site selection
process. The first decision the Task Force took was to eliminate the idea of
developing a common information-gathering questionnaire, which communities had
suggested. Site selection consultants must standardize each questionnaire to the
needs of each client. Data requests differ by industry type and facility type
(e.g. branch plant versus headquarters) and the locating company?s country of
origin. Instead, the Task Force decided to develop a data set that a community
could have ready to respond to with any type of questionnaire. The data set
would be comprehensive but not exhaustive, covering the 60-70 percent of
information that is common across site selection decisions.
After years of hard work and beta testing by community representatives and
some smaller and more rural communities, the Task Force unveiled the first
version of the standards at an International Development Research Council
meeting in New York in May 2000. The data set contained over 1,200 data elements
organized into 25 spreadsheets. Approximately two thirds of the data points are
available from public sources such as the Census Bureau or the Bureau of Labor
Statistics, while the remaining one third relates to data that must be gathered
locally including available sites and buildings.
Why Standards?
Along the way, communities have voiced a few concerns about the ease and
efficacy of using the standards. The data set is cumbersome and expensive to put
together. Smaller communities with limited resources will be challenged by it.
Larger communities involved in the site selection game have most of the data,
although not in the current suggested format. Moreover, the data set bares all a
community?s strengths and weaknesses to a corporate location professional?s
scrutiny; a scenario many marketers balk against. Communities like to choose and
present the data that make them look good, not provide it in bulk form with no
space for the community to explain how it is resolving a particular weak spot.
And those communities fortunate enough to be popular location sites argue that
they do not need to worry about data standards, they are doing just fine.
While many of these concerns are valid, they decline in importance when we
look more carefully at current conditions and how business attraction efforts
are changing; a higher level of standardization then becomes more important.
When it comes to data, location consultants find a good proportion of what they
need on the Internet and through private providers before they ever come
knocking on your door. So for economic development professionals looking to
control their data message to craft an attractive community profile, most of
that control has already been lost to Internet and private database
technologies. In fact, the implementation of standards returns control back to
communities; this way everyone involved in the location process is clear on the
data being examined and can bank on its reliability. Communities can then build
a marketing campaign that complements the data and compensates for the problems
they reveal.
As for the cost and burden of developing the data set, it is not necessary to
put the whole thing together at once. In fact, communities that beta-tested the
standards found they had much of the data, although not necessarily in the
recommended format. Moreover, beta-test communities found that putting what they
could of the standards together was a beneficial training exercise, learning how
to gather and use data in small steps, making it easier and less costly as
communities move forward. To facilitate a phase-in approach to the use of the
standards, the Business Location Strategies Group at PriceWaterhouseCoopers -
working with DevelopmentAlliance.com - identified the following key data
elements a community should begin with, and then complete the rest as they can:
- Leading Employers
- New Companies in the Area
- Average Salary by Occupation
- Worker's Compensation and Unemployment Insurance
- Percent of Workforce organized
- Real and personal property tax
- Average costs of sites
- Utilities
- Quality of life data for the central city and selected suburban school
districts
Once completed, the data set only needs updating.
And for those communities basking in relocating businesses that see no need
for standards, in a relentlessly competitive climate maintaining your position
will require benchmarking your strengths and weaknesses vis-a-vis your
competitors. Standards will allow communities direct comparability, making it a
learning tool of unparalleled power.
Standards are not just for site selection...
Even at their inception, the Task Force recognized that establishing common
approaches to data gathering and assessment would provide a host of benefits to
communities as well as facilitate the site selection process. Just having the
data can help communities better understand their local economy because as it is
updated annually; the data will chart economic and industrial changes, including
internal restructuring trends in specific industries, map emerging jobs - and
the training and education needs for them - and provide information for
strategic planning, program evaluation, marketing, retention, and advocacy to
local officials and other relevant parties. But having comparable statistics
makes all this activity even more powerful.
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