Quantify, improve and monitor data consistently
across your enterprise
To protect the long-term value of enterprise
applications and keep poor data quality at bay, you need to manage, maintain,
and monitor regularly all data in every enterprise application. The only data
quality solution that profiles, discovers, improves, monitors and governs data
and scales seamlessly across applications, systems, and platforms to meet the
intense demands of the global enterprise is the Assessment Studio Software Suite.
Success is depending on the quality of your
data. Nevertheless, high quality of data is one of the most underrated factors,
regarding the success of engineering processes. Through the automatic reviews
by our compliance solutions, potential problems are traced early in the process
and can then be adjusted instantly. The effect is a constant monitoring and
improvement of the quality of the process, based on the quality of the data.
Deviations as well as errors are rapidly traced, specifically localized and
thus fixed economically, on a basis across systems.
Manual reviews of documents, models or data are
extremely time-consuming, not entirely perfect and in many cases incorrect.
Human beings commit errors, naturally. Undetected errors require additional
work and effort, and hold high risks, that could lead all the way to the
liability of the product. The developing processes are time-consuming, not
perfect and often incorrect. The developing process is too complex: Many
guidelines, different requirements and a heterogeneous environment of applications
make verifications very expensive and take up essential ressources.
Engeneering Data Compliance stands for verifiable quality,
consistency of data within the developing process, error-tracing early in the
process, correctly used guidelines (concurring of standars), easy comprehension
through back-tracing and predictions through analysis of trends. Within the automatization
of formal reviews, the examination of engeneering data by guidelines, as well
as the generation of documents (assessment reports) the verification is
delivered promptly, errors are avoided preventively, cycles are reduced,
quality is increased and costs are reduced.
Software-based methods
for the automatized analysis of data
Our solutions provide software-based methods
for the automatized analysis of data, cross-tool monitoring of data and the
securing of quality of information through a risk-valuation in the developing
process:
-
Checking: Analyses, wether all
data is readable, correct and compliant
- Matching: Ensures, that
logically linked information is consistent
- Parsing: Checks if data
corresponds with operative conventions (conformity)
- Cleansing: Corrects information
on request, restrictions and operative norms; examples are universal specifications
of format, range and value of norms, etc.
- Profiling: Analyses data and
edits statistics (metadata and metrics), that contain information
regarding the data quality and give hints for the improvement of the data
quality
- Monitoring: Observes the guideline-conformity
of your Engineering data
With the solutions of Match Technologies you
are provided with a tool suite that, early in the process, avoids risks and
expenses caused by incorrect data.