Transforming Sales Intelligence with Databricks

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Home Case Studies Databricks: Transforming Sales Intelligence for Faster Decision-Making

80%

Faster Document Processing

95%

Improved Metadata Accuracy

45%

Accelerated Time-to-Insight

About the Client

The client is a fast-growing AI-powered sales intelligence platform that provides go-to-market teams with real-time, contextual insights on companies and industries. With a data engine fueled by large-scale web scraping and document ingestion, their existing infrastructure struggled to keep up with the growing volume of unstructured data. Their stack included MongoDB, Postgres, and legacy JavaScript-based processing, requiring a major overhaul to scale effectively and deliver timely insights.

Unveiling Success

Adopting Databricks to Simplify Document Processing

As the client’s customer base and data demands expanded, their processing architecture couldn’t keep up. Critical document handling logic was stuck in JavaScript, pipelines were scattered across different systems, and unstructured data lacked consistency. This fragmentation delayed insight generation and made maintenance increasingly difficult. Kanerika was brought in to re-architect the pipeline using Databricks, which aims to modernize their document workflows, improve pipeline performance, and reduce manual overhead, all while ensuring smooth integration with their existing platforms.

Client’s Challenges

Outdated document workflows created maintenance bottlenecks, which led to service delivery delays and reduced operational agility
Disconnected data sources limited visibility across systems, delaying access to timely and reliable insights
Unstructured PDF and metadata processes increased manual effort, reducing team productivity and extending turnaround times.

Our Solutions

Refactored document workflows from JavaScript to Python in Databricks, improving maintainability and processing speed
Integrated disconnected data sources into Databricks, improving visibility and enabling faster, more reliable insights
Streamlined PDF, metadata, and classification workflows in Databricks, reducing manual effort and accelerating insight delivery

Tools & Technologies Deployed

Business Outcomes

Maximizing Business Value

Streamlined Document Processing

By moving PDF ingestion and title extraction to Databricks using Python, the team eliminated legacy complexity and reduced processing times, enabling faster delivery of usable data.

Improved Scalability and Maintainability

Refactoring critical logic into Databricks allowed for better visibility and monitoring, making the workflows easier to update and scale across growing data loads.

Faster Time-to-Insight

The unified data pipelines and standardized schemas reduced the time between data ingestion and usable insights, helping teams respond more quickly to market opportunities.

Better Data Governance

Post-migration, the consolidated data structures and Snowflake integrations ensured stronger auditability and schema compliance.

Why Kanerika?

Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 & 27001 certification, SOC II, and GDPR compliance. We are also CMMi Level 3 appraised, further accentuating our commitment to quality service delivery. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth.