Enterprise Data Management Architecture

Once the corporate IM strategy is defined, we shall build the Enterprise data management architecture. This will be based on Kumaran's Enterprise Data Management Architecture Framework, which is highly flexible and needs-based. It can be used to build a basic enterprise data warehouse or a Service Oriented Architecture (SOA)-based enterprise data warehouse.

These are the salient features of Kumaran's Enterprise Data Management Architecture Framework:

• Best-in-class quality
• Scalable and resilient
• SOA-underpinned, yet flexible to incorporate non-SOA implementation
• Built-in Electronic Data Interchange (EDI) layer in framework, yet flexible enough to incorporate non-EDI implementation
• Wired-in Master Data Management (MDM) in framework, yet flexible enough to incorporate non-MDM implementation
• Future-proof

Quality-Driven Data Integration

Data has to be combined from disparate data sources in order to build a data integration layer. This increases the challenges to standardize and cleanse the data by many manifolds.

Kumaran’s approach is based on the Enterprise Data Management Architecture Framework. Here are some of the approaches we employ:

• Data Quality Assessments
  Data quality bottlenecks are identified, by using our Data Quality Framework, and data quality profiles are created. This approach will help your organization asses the data integration risks upfront and flag it to the stakeholders. Data profiling strategies are created both at table and column level. This approach also helps in identifying redundant data.
• Data Cleansing Rules
  Kumaran employs ETL-based customized data cleansing rules to clean the data. Based on individual client needs, we can also build customized pre-processor data cleansing routines.