Data Warehousing
Whether a large corporate, a government organisation
or a medium sized business, vast amounts of data accumulates
within legacy, enterprise resource planning, SCM, CRM
and other systems. The information contained within
this data could be invaluable to identifying and implementing
process and business changes that would reduce costs,
increase profits and open up new markets. Unfortunately,
accessing, verifying and analysing this data is often
difficult, if not impossible.
The primary reason for building a data warehouse
is to develop an intelligent, consolidated view of
organisationl information. Data warehousing is an automated
process that consolidates data from disparate systems
into a common repository where it is verified, reconciled
and transformed into clean data.
End users can then either receive preformatted reports
or extract and analyse information. End users can act
on this information with the confidence that decisions
are being based on accurate information formed from
enterprise wide view.
Whether building data marts or a data warehouse,
the key to delivering a sound return on investment
is detailed planning and a deep understanding of the
customer’s requirements. When building your information
store ASYST Intelligence will work with to identify:
- End User information requirements – from
senior stakeholders to operational users
- Architecture
- System Requirements
- How and when to integrate which data sources
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