Data Mining

Data Mining is a systematic approach where we apply algorithms for the purpose of Descriptive, Predictive and/or Decision analytics.

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Services

Our services are based on the type of engagement. At the highest level, we offer consulting services for devising an IT strategy for increasing your return from your BI investments.

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Offerings

At a more modular level, our offerings are meant for specific purpose and needs. We divide our offering modules into five mutually exclusive parts. Vision and scope, Proof of concept, Performance optimization, training, and staff referrals.

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Value Creation

It’s hard to calculate value resulting from innovation. More often, the unexpected gain is larger than the expected gain. However, it’s still helpful in having some idea of the expected cost savings or the revenue increase that could be directly attributed to a BI project.

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Types of Analytics

With the advent of internet (web2.0) and the explosion of data in the recent times, the traditional BI has evolved. It has been divided into four different areas, namely, Core Analytics, Content Analytics, Web Analytics and Event Analytics.

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Data Staging

Data Staging is on many occasions, an optional step in a data warehouse construction. With the advent of new technology, it has both evolved, and made redundant.

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Data Processing

Data Processing is about sourcing data from disparate business systems, integrating the heterogeneous data, transforming it and then populating it into the data warehouse.

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Data Architecture

Data Architecture is the foundation for business intelligence. The most important component of the data architecture is the “Data Warehouse”. As the name suggests, the purpose is to house all or most of the important data in one place, in a clean and structured fashion.

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