SeekData develops data and software solutions that can be
applied to difficult address data management problems. We
focus on areas that have been overlooked by the major address
management and GIS vendors and where a solution results in
better decision-making and resource management for our clientele.
SeekData's primary strength resides in two unique and critical
elements:
- Our matching and standardizing algorithms reconcile address
records which are inconsistent, incomplete or otherwise
difficult to standardize and match.
- Our exclusive proprietary data sets, which are the foundation
in providing unequaled results of the highest integrity
and therefore accuracy.
OUR FOCUS
SeekData's major focus as a company has been the development
of solutions for the complex and inconsistent addressing conventions
in Puerto Rico. In 1995, we initially chose Puerto Rico because
no other source existed for solving complicated addressing
conventions which were exacerbated by a multitude of cultural
and historical issues that made the challenge all the more
daunting. We knew from the outset that many in both the private
and public sector had sought solutions but meaningful results
were not forthcoming.
SeekData also recognized that successfully solving the complicated
issues of Puerto Rican address standardizing and geocoding
would create a windfall of opportunities in the 50 States,
where difficult address data management problems were likewise
unresolved.
After two years in research and development, SeekData premiered
its Puerto Rican data sets and geocoder in 1997. Since then,
we have analyzed, standardized and/or geocoded tens of millions
of Puerto Rican address records for a variety of clients,
most notably the United States Census Bureau. Constantly updating
and refining our data, SeekData is, to our knowledge, the
only source available to equal or surpass address standardizing
and geocoding accuracy levels now existing for the 50 States.
ADDITIONALLY
In addition and as an ongoing matter, we collect voluminous
amounts of relevant data such as GPS points for new dwellings,
roads and businesses in Puerto Rico. SeekData also offers
complete address standardizing and geocoding capabilities
for the U.S. Virgin Islands, as well as all territories and
possessions in the Pacific Rim.
SeekData likewise stands ready to solve the most difficult
and problematic standardizing and/or geocoding issues within
any of the 50 States. Wherever aberrant, atypical address
or geographical problems exist, SeekData has the conventions
in place towards a successful solution for every client. Because
we have developed our own data sets AND geocoder, SeekData
is in a unique position to offer our customers a "No Excuse"
approach to their GIS needs.
PARSING ROUTINES
SeekData has produced routines that parse strings of alphanumeric,
hyphenated address elements, which are often presented in
no typical order. For instance, "C 34" could be a house number
as well as an accepted abbreviation for CALLE 34 (Street)
or CARRETERA 34 (State or County Highway).
For example, the address "12-14 CALLE 34 SE" can be found
in address files expressed in at least four different ways:
12-14 CALLE 34 SURESTE
CASA 14 C 34 SE BLQ 12
14C/34 SE BLK 12
C.34 BLOUQUE 12-14 S E
Parsing Puerto Rican addresses is also complicated by the
fact that in many cases a municipio, urbanization, residencia,
barrio and a street all can share the same name.
TRUNCATION - Filling in the Blanks
We have also developed methodologies to recognize missing
address elements and reconstruct address records that have
been severely truncated or abbreviated in a non-standard manner.
This occurs quite often in Puerto Rican address records because
data collection templates, designed for the 50 States, often
don't allow adequate space for all the characters that comprise
many Puerto Rican addresses. Truncation/abbreviation with
alphanumeric and hyphenated address elements added to the
mix can also result in scanning errors that we can recognize
and correct.
PROPRIETARY DATA
In addition to developing powerful parsing routines and matching
algorithms, a massive amount of data has been developed and/or
refined. This includes:
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