Data Warehousing

Fulfill the wholesome need for a robust, powerful spectrum of data handling for faster, precise Corporate Decisions!

Over the years, we at RCI technologies have progressively, successfully and substantially metamorphosed our data warehousing solutions with cutting-edge technologies, far surpassing the demands of every enterprise's ever-growing data warehouses. Our model has time and again proved to be the 'Heart' of strategic reporting systems for all our clients, with a razor-sharp-focus on consolidating and reconciling information across disparate business and IT units. RCI's data warehousing solution extends a flexible, optimal technological hand for a 'singly-integrated', 'module-neutral' repository for the enterprise's existing data. It also forms a strong foundation for the enterprise's business intelligence framework.

We possess an exceptional track record of optimizing multiple 'Data Marts' to eliminate redundant expenditure, clubbed with achieving higher ROI-levels. Our immaculate development methodologies reflect the zest to bring about high-performance data-delivery systems. RCI Technologies Inc. has proven expertise in building robust architecture to create enterprise data warehouse for cross platform applications, ERPs, and databases using ETL tools

What RCI offers?

• Develop extensive Business Cases to subsequently build a data warehouse.
• Conceive and design an open and highly scalable architecture for a corporate data warehouse.
• Select the most optimal and appropriate data warehousing tools.
• Assemble different sub systems.
• Align the business strategy.
• Implement data warehouse solutions

Key Features:

• Acts as ‘Enterprise-memory’ for on-target Corporate Decision making.
• Utilize flexible and technologically superior dimensional data design models.
• Total elimination of delivery delays through custom codes for every integration module.
• Conceive the most apt Business Intelligence information by layering the organization’s business rules above the raw data, resulting in a self-tuning and self-diagnostic model.
• Work patterns with mandatory end-user's inputs at every stage of data design model as well as implemenation.
• Arriving at a data-design model throgh a pre-agreed real-time business model, compatible to a far-reaching customer base.
• Iterative and "packed-set" of data delivery models.
• Secure the vital accuracy in "Corporate Information - Corporate Decisions - Corporate Actions" workflow sequence.
• Ensure a one step above 'Technology Orientation' towards 'Result Orientation'.