Data Ware Housing / Business Intelligence
Most enterprises don't
fathom the magnitude of the impact that data quality problems
can have," said Ted Friedman, principal analyst with
Gartner. According to his research, a quarter of the Fortune
1000 companies are working with poor-quality data.
Friedman isn't
talking only about corrupted data -- although that can be
a part of the problem -- when he points to the pitiful state
of data. Instead, data quality is defined by a number of components,
ranging from consistency --whether the data is identical when
stored in multiple locations -- to accuracy and relevance.
If there's data, but it's not relevant to the process or project
at hand, it's worthless, said Friedman.
At TASMEA we
see this as an opportunity to be out there helping our clients
get the most valuable information out of their vast trenches
of data.
Technology Expertise
Benefiting from the expertise of our business analysts who
bring in detailed business process understanding into projects,
and having worked on multiple BI / DW engagements; TASMEA
is able to deliver to its client’s value for their investments:
CRM analytics. CRM analytics
focuses on the entire customer acquisition and sales management
process. Key elements in CRM analytics that get addressed
are the need for profiling and match merging of customer data.
This is a mandatory requirement as the data is usually syndicated
from multiple sources. We also bring in various quality and
service level metrics that help in evaluating the effectiveness
of the acquisition and sales management processes.
Supplier analytics.
Procurement analytics focuses on entire procurement related
processes and covers raw materials, packing materials and
administrative purchases. We focus specifically on various
metrics oriented towards vendor delivery and quality service
levels.
Uniformity in financial reporting is gaining importance; especially
with the onset of standardization in financial reporting stipulated
by the Sarbanes Oxley Act TASMEA has analyzed the requirements
stipulated by the Act and can provide services for consulting
and implementation in this area.
Reengineering of data warehouses. In many
cases the data warehouses get built quickly without much forethought
on potential issues that can hit the data warehouse when there
is an increase in the size and complexity of the data warehouse.
TASMEA’S reengineering services are oriented towards
reengineering existing data warehouses and marts with better
tools and better data architecture to enhance scalability
and performance.
Data warehouse consolidation.
Organizations are increasingly finding themselves
with a technically unmanageable data warehouse that also does
not cater to the needs of a cross-organizational view. Some
of the reasons being: mergers and acquisitions or unrestrained
construction of data marts by individual functions. TASMEA
offers specific services of data warehouse and data mart consolidation
that addresses such situations
Reference data management. Reference
data forms the core for meaningful reporting from a data warehouse.
Managing this is an extremely complex task. TASMEA provides
a service that addresses reference data from a holistic perspective
of implementing the required tools and also addressing the
organization process requirements to ensure a smooth reference
data management in the organization.
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