days, competitive advantage depends on high-value business
processes, such as CRM, supply chain management, and business
intelligence—applications that effectively require
integration of data from across the organization to develop
a complete view of activity throughout the enterprise, customer
channels, and the supply chain. A key to success will be
the enterprise's ability to manage the staggering volumes
and complexity of data efficiently and cost-effectively.
A data warehousing
solution from Infonet Technologies brings together data from
multiple sources to deliver greater insight into the enterprise.
Infonet Technologies offers a decade of experience developing
high-performance data warehouse solutions for some of the
world's largest organizations, sophisticated, low-latency
solutions that transmit highly complex data and massive volumes
of data to large audiences of end-users. Our expertise with
state-of-the-art tools ensures a durable, robust data warehousing
solution with a low cost of ownership.
Data acquisition processes—extract,
transform, load (ETL)
places a strong emphasis on data acquisition processes. This
includes sourcing, cleansing, transforming, and aggregating
data using parallel technology tools to build industrial-strength
ETL processes that accommodate high data volumes from disparate
sources. We identify the best sources for data elements,
reconstructing data when required and deploying the most
appropriate tools to retrieve the data from its primary sources.
Through the cleansing process, we enhance data quality by
ensuring data accuracy, type, and consistency, as well as
eliminating duplicate records.
is experienced at building a variety of data repositories,
including operational data stores, data marts, data warehouses,
web warehouses, and data hubs. We start by implementing and
properly documenting a physical data model, ensuring data
from all functional areas is sufficiently integrated to support
cross-functional analyses. We perform database tuning, model
denormalization, and aggregation as necessary to support
information delivery requirements. When scalability requirements
call for it, we partition and distribute data into a parallel
also specializes in implementing information delivery applications
that allow corporate users to access the data in the warehouse.
These include decision support tools, data mining and analytic
tools, and applications that optimize supply chain, campaign
management, billing, and industry-specific processes.
near- and long-term reporting and access requirements are
met as well. These may include fixed-frequency static reports;
ad-hoc reports; dynamic, multidimensional queries; Internet/intranet
application interfaces; and data mining
As the data
of the repository
is a crucial
step in optimizing
results and return on investment. We provide data warehousing
such as performance
to help clients measure the ongoing success of
their data strategies.