Master data management (MDM)

The Value Of Single Source Of Truth

Master data management gives you a single authoritative view of information and eliminates costly
inefficiencies caused by data silos.

What is Master Data Management?

Data insights have become very important measures of success for organizations. This makes it even more important to ensure the organizational data is useful and trustworthy. With more and more data being generated and used, it becomes vital for organizations to manage this data. MDM or Master Data management, aims at providing clean, accurate, consistent and quality data across the organization, along with access management and making further actions on the data more explicit.

Why do businesses need an MDM?

MDM is critical for financial reporting, customer management, customer care, compliance, product regulatory adherence, cross selling and up-selling, privacy management, supply chain, security management and many others by

Recognition, linking and synchronizing organizational data from various sources into master data.
Central system of record for master data.
Manage and create data using the same platform.
Generate trusted versions of the data that is access controlled.
Support data governance requirements.
Easy to implement in self-service mode.

Our MDM solution will change the way you work with data

We automate and make your data work for you. With our solution you can manage your master data and ensure compliance. Ensure that the right people get the right data. Scale your data and make it work for you. Our platform is the only place you need to go to for all your data-related operations.

What are the three common data challenges faced by businesses that we are solving?

Multiple versions of key data due to siloed systems

Manual entry of data leading to inaccurate data

Data versions are not up-to-date leading to data that is not trustworthy

Unique features of our Master Data Management

Establish the data model

Establish the data model by defining the attributes, enumeration setup, defining the model and setting default attribute values.

Data enrichment

Data enrichment helps assess master data and perform CRUD (Create, Read, Update, Delete) operations. Utilizing this single view, data analysis becomes more accurate and flexible.

Single commands or SQL queries

Single commands or SQL queries update multiple instances of the same data.

Match and merge

Match and merge concept identifies duplicate data and resolves it to finally process one ‘golden record’, thereby providing a single accurate record.

Operational analytics

Operational analytics is used to analyse the quality of data coming in. View details of records like passed, failed, and excluded to improve efficiency, compliance and reduce cost of operations.

MDM Approach

Our 5 Step MDM Approach

Profile Master Data
Our MDM solution profiles the data for each master data business entry and manages them in a central repository. Data quality rules are applied by highlighting key problem areas to estimate the business impact.

1
Consolidate migrated data
Collecting and consolidating the data that is obtained from various siloed heterogeneous IT environments by applying data insights rules to standardize and match master data attributes during the MDM process.

2
Cleanse and Govern data
This is a 2 step process:
Step a. Cleanse data by standardizing, correcting errors, removing duplicates, and matching data.

Step b. Governs data by applying data definitions, data quality rules, privacy and regulatory policies, auditing and access control definitions. practices.

3
Collaborate
Consolidate and synchronize master data with existing systems, enterprise applications, and repositories.

4
Leverage
The MDM process produces one golden record which acts as the single source of truth for all master data. This record provides key insights for better decision making.

5