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What does
Data Jungle mean? If data structures
are so deficient that the overall
picture gets lost. In most cases the
standard statistics ERP systems
provide are not enough for the
important issues. Moreover, there are
often mistakes in the data.
Without industry and functional
competence data content cannot be
understood and therefore not really
structured. In this way, the job to
make sense out of company data remains
usually with staff themselves. A tedious job for
which there is usually no budget.
In several years we have been building
up comprehensive Knowledge Bases for
various industries and areas. By
applying modern methods of
computational linguistics, we are able
to classify data by its content and to
do the processing according to the
respective purpose. Applications range
from simple product group
classification to restructuring of
entire data structures or the transfer
of certain data attributes into
databases.
The result is for many of our
customers a transparency never
experienced before which can
immediately be translated into
tangible benefits, e.g. in Purchasing.
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Commodity structure
development by semantic attributes in
master data and unstructured text
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Improve purchase
performance based on more transparent
annual planning figures
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Supplier
concentration, strategic
purchasing, efficiency increases |
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Define
standard structures for all
data records |
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Analyse
materials, standardise
nomenclature, eliminate
duplicates |
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Process
cost reduction / acceptance |
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Adapt data
structures for migration (e.g.
character/field limits) |
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Concept
for migration (which fields,
which content, implementation,
documentation |
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optimum
use of ERP-System |
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Synergies
and cost reduction in material
management are impaired
because of heterogeneous
material master data |
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Define
standardised structure for all
records |
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New
classification, elimination of
duplicates, data enrichment |
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