Business Need :

Our client is a leading digital outsourcing company that provides customer experience (CX), content moderation, artificial intelligence (AI) training data, and back-office services to some of the world's most innovative brands. They help their clients build, protect, and grow their businesses by providing high-quality, tech-enabled services. They are aiming to address the issues of inconsistent, invalidated and unstandardized data across enterprise systems, and have a Golden source data for an efficient reporting

Solution :

• This MDM solution was designed using Databricks to provide a single, unified view of all the critical data assets.

• Identify and consolidate different versions the individual entities that exist in various systems & apps

• Data validating, cleansing, standardization and deduplication

• 360-degree view of employees

Benefits :

• Scalability - Effective management and analyze the data

• Cost Effectiveness - Optimize cost using MDM solution

• Analytical Capabilities - Ability to run complex queries, perform data visualization, and data mining operations

• Security - Encryption of data at rest and in transit, as well as access controls and monitoring

Streamlining Data with Databricks: A MDM Transformation

Introduction

In today’s digital economy, the volume of data generated by enterprises is immense. However, data's value is fully realized only when it is consistent, validated, and standardized across the organizational ecosystem. Our client, a digital outsourcing powerhouse, recognized the challenges posed by fragmented and sub-par quality data. They needed a solution that would not only resolve data inconsistencies but also pave the way for efficient reporting and deeper analytical insights.

Business Challenge

The client provides a wide array of services, including customer experience (CX), content moderation, artificial intelligence (AI) training data, and back-office support. The nature of their operations means they handle complex and diverse data sets. Their challenges were multi-fold:

• Inconsistent Data: Information across various enterprise systems was inconsistent, leading to reporting inaccuracies.

• Invalidated and Unstandardized Data: Data sets were not undergoing proper validation and standardization processes.

• Fragmented Data View: There was no single, comprehensive view of data entities, which is essential for operational efficiency and strategic decision-making.

Solution Overview

To turn this data conundrum around, a robust Master Data Management (MDM) solution was implemented using Databricks. Here’s how it addressed the core issues:

1. Unified Data View

Databricks served as the engine to create a 'Golden Source' — a central repository that provided a unified view of critical data assets. It ensured that all data, regardless of its original source, was consistent and accurate.

2. Entity Resolution

The solution was designed to identify and consolidate various versions of individual entities scattered across different systems and applications. This entity resolution helped eliminate redundancies and streamline data management.

3. Data Quality Enhancement

An integral part of the MDM solution was to validate, cleanse, standardize, and deduplicate data. This not only improved the quality of the data but also provided a comprehensive 360-degree view of employees, enhancing HR analytics and reporting.

Key Benefits

The implementation of the MDM solution delivered substantial benefits across the board:

• Scalability: With a unified data platform, the company could effectively manage and analyze data, regardless of volume or complexity. This scalability ensured that the data infrastructure would support ongoing growth.

• Cost Effectiveness: The MDM solution optimized costs by eliminating redundant processes and systems, providing a streamlined approach to data management.

• Enhanced Analytical Capabilities: Databricks enabled complex queries, data visualization, and data mining operations. The analytical capabilities were significantly boosted, allowing for better strategic decisions based on data insights.

• Security: The solution placed a high priority on data security, with robust encryption of data at rest and in transit. Additionally, rigorous access controls and monitoring systems were put in place to protect sensitive information.

Conclusion

For our client, the Databricks-based MDM solution was a game-changer. It resolved the pain points of managing disparate and low-quality data, replacing them with a standardized and reliable data foundation. The benefits realized from this transformation are a testament to the power of a unified data strategy. It not only delivers cost savings and operational efficiencies but also unlocks new possibilities in data analytics, enhancing the company’s ability to support their clients in building, protecting, and growing their brands.