Business Intelligence and Data Warehousing

    Master Data Management (MDM)

    Enterprise wide master data can be described as the lifeblood of an organization as well as a valuable enterprise asset. It enables organizations to have a golden source for a variety of critical data pertaining to entities such as customers, business partners, third-party service providers, and local and international markets. Implementation of advanced enterprise-wide master data management systems have made it easier for businesses to make critical decisions that have potential to affect customer satisfaction, sales, revenues, profits, and regulatory compliance, among others.

    At Dawn, we understand that optimal enterprise wide master data management can be achieved through a 5 step process that helps understand the data disparity across applications/ geographies in the organization and proceeds to implement and manage a master data solution as below,

    Meta Data Management

    Meta data refer to the structured information about "who, what, why, when, where and how" of the organizational data. It helps to link various lines of business and organizations (Mergers & Acquisitions) to a common data definition/description of data. Comprehensive data management efforts need to synchronize with the various systems that are operational throughout the organization. It is necessary that these systems make use of common, lucid descriptors and definitions, to be able to deliver quality performance.

    Dawn’s Meta data management services are part of a much wider vision to help organizations manage their critical data and information in today's highly competitive business environment that results in efficient information/knowledge sharing, increased productivity and efficiency and helps in Data Stewardship, Data Confidence & Data Governance for the organization.

    Dawn’s Data Quality Services provide organizations with a full 360 degree review and validation of their data and information management initiatives through the data Lifecycle of transformation from operation to analytical data. Data that is incorrect, inconsistent or poorly presented cannot aid the decision making process. High quality, usable data is that which is complete, accurate, consistent, relevant, well-aligned to the business goals it is meant to achieve, and available in a timely and interpretable format.

    Dawn’s Data Quality Management framework validates operational data, report errors and inconsistencies, cleanses and standardizes data, and removes redundancy by data matching.

    • Modular approach for Data Quality Management
    • Predefined set of guidelines and standards
    • Flexibility to adapt with other DQ methodologies
    • Improved data quality for best performance
    • Focused approach that provides cost benefits

    Data Quality

    Dawn’s Data Quality Services provide organizations with a full 360 degree review and validation of their data and information management initiatives through the data Lifecycle of transformation from operation to analytical data. Data that is incorrect, inconsistent or poorly presented cannot aid the decision making process. High quality, usable data is that which is complete, accurate, consistent, relevant, well-aligned to the business goals it is meant to achieve, and available in a timely and interpretable format.

    Dawn’s Data Quality Management framework validates operational data, report errors and inconsistencies, cleanses and standardizes data, and removes redundancy by data matching.

    • Modular approach for Data Quality Management
    • Predefined set of guidelines and standards
    • Flexibility to adapt with other DQ methodologies
    • Improved data quality for best performance
    • Focused approach that provides cost benefits

    Our data integration services include Tool Evaluation & Architecture, Data Integration & Migration (ETL Development), Data Quality & Assessment, Independent Validation Service for ETL Solutions, Meta data Management and Master Data Management.

    ETL and Middleware

    Our ETL Offerings include:

    Data Warehouse/ Application Integration:

    • Solution and ETL Architecture Strategy Design
    • Technology/ Vendor/ Product Evaluation & Selection
    • System Study & Analysis - Identify usage of customized data transformation and migrate to tool based transformation
    • Source Data Quality / Auditing
    • ETL Strategy to Load in Staging/ODS/Data Marts from heterogeneous systems
    • ETL Accelerators - Common ETL programming patterns for Informatica, SSIS, DataStage, etc
    • Development & Maintenance Services
    • Performance Engineering
    • Real time integration using messaging and Informatica PowerExchange
    • Cloud Data Integration
    • Administration and Support post deployment

    Platform Migration

    • Cross Platform Migration
    • Analysis of Source & Target Platforms
    • Design Transformation Processes
    • Maintain traceability during platform migration

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