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1 Submitted to: Service Definition Document for BI / MI Data Services

2 Table of Contents 1. Introduction Data Quality Management Master Data Management MDM Implementation Methodology Data Governance Data Integration... 7 Page 2 w w w. z e n s a r. c o m

3 1. Introduction Zensar helps you to meet the data management goals to provide data assurance in terms of security, quality and accessibility. Zensar is focused on creation of accurate, consistent and transparent data content for its customers. It emphasizes usability of data for its intended purpose and audience. Zensar provides processes, tools, and metrics to help organizations use information effectively and efficiently in order to achieve their business objectives. Companies today look at integrating and analyzing structured and unstructured content across the enterprise. Our service offering in Data Management enables customers to effectively manage volumes of data and help convert information to insights. Our primary focus is on helping our customers to build and maintain Master Data repositories, tackle inconsistencies within their data, and cleanse and enrich it to gain competitive benefits while simultaneously adhering to compliance requirements. These Services are designed with a single objective in mind, Providing Maximum Business Value to Customers. Achieve organizational alignment on the governance of data management issues throughout the enterprise Define and implement data architecture encompassing data modelling, data flow analysis, tuning, storage, visualization, and infrastructure Identify, implement and maintain a single, unified view of reference data across the enterprise Ensure data security, through security policies and processes Establish processes that ensure good quality data on a regular and consistent basis Page 3 w w w. z e n s a r. c o m

4 2. Data Quality Management Zensar s specialists implement robust governance processes and assure quality via data de-duplication, data filtering, and error treatment across Retail, BFSI, Healthcare and Manufacturing sectors. As Part of Data Quality Management Services Following is the Services Included: Data Quality Strategic Initiative and Consulting Data Quality Assessment Study Data Quality Design and Implementation Data Profiling Solution DQ Technology Evaluation and Recommendation Figure 1 - Data Quality Management 3. Master Data Management Zensar s comprehensive MDM offerings optimize internal and external data management, and governance to help you make better-informed business decisions. Master Data Management Services include: Strategic and Operational Consultancy MDM Architecture and implementation Establishing a MDM Competency Centre Operations and Support Activities Page 4 w w w. z e n s a r. c o m

5 3.1 MDM Implementation Methodology Discover: Figure 2 - MDM Implementation Methodology Identify the MDM candidates within the enterprise data architecture Identify the source attributes which will be used for the rules definition for unification Understand the interfaces required from the MDM repository Design & Develop: MDM data architecture Business and solution architecture for MDM ETCL rules for cleansing and migration Build necessary interfaces for downstream and manual intervention Deliver: Check authenticity of unified view of the master data element. Drive use of MDM in business applications. Check point to refine and redefine the business rule Page 5 w w w. z e n s a r. c o m

6 4. Data Governance Zensar uses a high-performance data governance framework that embraces collaboration at all levels, we partner with you to drive business alignment, specialization, stewardship, responsibility, accountability, consistency, and scalability across the enterprise. Key Highlights: Focus on Enterprise Data Management Frameworks Data Architect to define Data Management Roadmap Domain experts to define the business process and related data flows Expertise on Data Management tools like CADIS, Ab Initio and Informatica Implementation Methodology for MDM and Data Quality Management Package/Product Fitment Consulting Figure 3 - Data Governance Page 6 w w w. z e n s a r. c o m

7 5. Data Integration Build an information-enabled enterprise by speedily transforming data into a key decision driver with Zensar s Data Transformation service. Our engineers leverage expertise in various ETL and ETL data transformation tools and operate across a variety of sectors. Data Integration key updates, trends, Customer pain areas Data Volumes increase, so does complexity these forces customers to move to leading ETL platforms like Informatica, Datastage etc. Complexity arising from multiple source systems, Integration challenges continue New tool versions upgrades Unstructured Data increasingly becoming part of the Data Integration scope Pain areas associated with existing ETL processes too complex, too much time to load, etc. -> Opportunities to optimize Key Service Offerings: Data Integration across various source systems and application ETL design, development, implementation as part of BI/DW implementation projects ETL / Data Integration optimization reducing load times, making process scalable etc. ETL operations & support ETL tool upgrades Migration from one ETL tool to another Data Quality solutions Page 7 w w w. z e n s a r. c o m

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

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