Best Master Data Management Services In Bangalore | Tutortek

1. MASTER DATA MANAGEMENT FRAMEWORK

2. WHAT IS MASTER DATA MANAGEMENT • Master Data Management (MDM) refers to the process of creating and managing data that an organization must have as a single master copy, called the master data (ie not transactional data entities) . • MDM is important because it offers the enterprise a single version of the truth.  • Without a clearly defined master data, the enterprise runs the risk of having multiple copies of data that are inconsistent with one another. • Master data can include customers, vendors, employees, and products, but can differ by different industries and even different companies within the same industry.  • Master Data Management is only applied to entities and not transactional data

3. FOUR TYPES OF DATA • Master—Master data are the critical nouns of a business and fall generally into four groupings: people, things, places, and concepts. • Further categorizations within those groupings are called subject areas, domain areas, or entity types. • For example, within people, there are customer, employee, and salesperson. Within things, there are product, part, store, and asset. Within concepts, there are things like contract, warrantee, and licenses. Finally, within places, there are office locations and geographic divisions. • Transactional—This is data related to sales, deliveries, invoices, trouble tickets, claims, and other monetary and non-monetary interactions. • Unstructured—This is data found in e-mail, white papers like this, magazine articles, corporate intranet portals, product specifications, marketing collateral, and PDF files. • Metadata—This is data about data and may reside in a formal repository or in various other forms such as XML documents, report definitions, column descriptions in a database, log files, connections, and configuration files.

5. MDM VISION • Enterprise wide Master Data Management will help to differentiate MAC and Group companies by exceeding the expectation of principals and customer by offering outstanding service. • Enterprise MDM will cover the data domains of MAC, Eurogulf, CNC India, Hoshi to ensure high quality data across enterprise which will ensure effective management decisions.

6. Evolutionary MDM Strategy

7. Discover Org Address, City, Country mismatch (Organization) • Study the existing applications and data quality issues • Applications taken for Analysis : MAC Multiple names for same Organization (Organization)

8. Discover Multiple names of the same person (Person) Organization in Contact Person (Deals)

9. MDM Data Model

10. Data Rules • Define Business Data Validation, Data Quality and Convergence rules

11. Data Quality • Profile, Cleanse, Standardize and Normalize • Use Microsoft Business Intelligence software for the above activities

12. Processes and Work Flows • Implement MDM Change Request Process • Implement workflow management for MDM CR Process using Intranet Dashboard Subsite feature, eforms and workflow management features

13. Integrate and Implement • Integrate MDM with existing applications