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Data scattered in disparate systems in fragmented and non-standardized form can lead to the problem of data islands and data chaos. Gathering various data points from different systems and business processes, transforming them in useful form and integrating them to provide a synchronized view is the biggest challenge faced by organizations today.
We will help you overcome these challenges by providing strategic and operational direction. We will analyze the data complexities in your systems. We will define business rules to standardize and integrate the data coming from numerous systems, and structure it in a centralized repository for efficient data access and delivery. We will architect the data integration/ETL process and the data repository solution for you such that it is scalable to very high volumes without significant changes to infrastructure. The benefit to business is that one version of truth is available through centralization, decision making and communication is improved, and productivity is enhanced. |
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Organizations generating and consuming large amounts of data face the challenge of incorrect interpretation of data. Even the key information data that seems similar and well understood may be interpreted totally different by different groups depending upon the context where the data is used. To avoid the confusion, there is a need to identify, define and align the metadata (data about data), deliver an infrastructure to support, and manage all operational aspects of cross-functional metadata alignment including discussion, documentation and communication.
We can address your need for consistent and meaningful data across various systems and enterprise by laying a foundation for metadata management. We have a well defined methodology and process framework to help organizations drive their metadata strategy. Our framework will address not only business/functional metadata but also your operational and tactical metadata. As a benefit, metadata is readily available to enhance business processes, and improved resource productivity is achieved through better understanding of information.
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Data Quality and Data Governance |
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Business data residing in data warehouse and/or in transaction systems are often inconsistent, inaccurate, incomplete and unreliable. Duplicate data residing in multiple systems if inconsistent, will lead to manual efforts to identify the correct data and will impact the timeliness of decisions. With powerful functions like data profiling, cleansing, standardization, and matching capabilities, you can have confidence in your data and the decisions you make based on it.
We would help you develop and manage your data quality program by putting in place data quality management frameworks around people, process and technology. The data quality business process will help you measure and publish the current quality levels, and develop and implement quality improvement processes. We will develop data stewardship and governance model to support ongoing delivery of high quality data in various systems. Having high quality data in your systems will empower your confidence in data, enhance productivity and realize enhanced ROI.
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