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Database Management
Data Management
- At the heart of any organization is the information
it collects, be it donors, event attendees, voter preferences
or research data. Correctly collecting, storing and
processing that data is the difference between success
and failure.
But policy groups are experts in policy,
not data management. In many cases hundreds, if not
thousands, of man-hours are wasted because of projects
that were
poorly planned and executed.
Truly effective data management requires
going beyond the technology itself to look at the entire
organization. Only when we understand the 'why' of a
project can we effectively address the 'how'.
The Hathaway Group will sit down with
you and map your project goals, potential data sources,
business rules, vendor relations, reporting requirements
and desired
final product. The process is lengthy and complex, but
can often be the difference between success and failure.
If you have any doubts read
how our campaign operations a decade ago led Campaign
& Elections magazine to still rank us among the
"greatest campaign
experts of all time".
Data Mining
In an era of
tightening fundraising budgets, it has become critical
that every appeal generate the largest return on investment
(ROI) possible. But the fact is that most groups trying
to maximize their fundraising are crippled with outdated
analysis programs.
These programs might be able to tell
you what happened in terms of list or package performance,
but have no way of determining why it happened. After
all, knowing
that a package generated a 5% response rate is pointless.
What you need to know is why that 5% succeeded and the
other 95% failed. What are the hidden traits among your
best donors that you aren't seeing?
The solution is one of the newest
and most exciting fields in fundraising today -data
mining. Data mining allows you to establish Key Performance
Indicators (PKI's), such as Highest Previous Contribution
(HPC). Then, the fields that describe your donors such
as, gender, age, location, length on list or previous
giving history are identified as predictive inputs.
The data mining program then applies
various forms of advanced statistical analysis such
as decision trees, neural networks or clustering to
find the real reasons
for why your best donors perform while others pretend.
The processing power of our
servers allows you to analyze thousands of records to
produce the most accurate results possible.
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