Case Studies

Real operational outcomes from enterprise data and analytics work.

These case studies show how Datansh has helped enterprise teams move from fragmented data, delayed reporting, and manual processes to faster execution, lower operating cost, and more reliable decision-making.

MediaDigital news platform

AI-Driven News Personalization for Higher Engagement and Monetization

Datansh helped a digital news platform move from region-based content delivery to a behavior-driven recommendation system that used scalable data processing, AI models, and natural-language content discovery to personalize the reader experience.

Key Outcomes

~22% higher click-through rate from more relevant, personalized recommendations.

~18% longer reader sessions through behavior-driven matching and better content relevance.

~15% lower bounce or churn behavior by reducing irrelevant content exposure and improving stickiness.

AIPersonalizationDatabricksRecommendation Engine
ManufacturingU.S.-based light manufacturer

Predicting the Next Best Action in a Long-Cycle Sales Process

Datansh helped a U.S.-based light manufacturer transform long, unstructured CRM conversation histories into predictive next-action intelligence, giving sales reps and managers faster clarity on how to move enterprise deals forward.

Key Outcomes

+9% revenue increase by helping sales teams focus on high-potential opportunities and recommended actions.

~60% lower manual effort in reading long lead histories to determine the next step.

~2.5x faster lead-action identification for sales reps and managers.

ManufacturingCRMAzure MLPower BI
ManufacturingMultinational tyre manufacturing organization

How a Global Tyre Manufacturer Built a Centralized Data Platform for Enterprise Reporting

Datansh helped a multinational tyre manufacturing organization move from disparate, semi-structured data flows to a centralized batch-and-streaming platform that treated data as a product and improved enterprise reporting reliability.

Key Outcomes

100% of releases moved to automated CI/CD with Azure DevOps.

0 post-launch issues reported after platform rollout.

2 delivery modes unified on one platform: batch and streaming.

ManufacturingData PlatformAzure DevOpsStreaming
InfrastructureMulti-business infrastructure enterprise

How a Global Infrastructure Operator Modernized Its Data Platform for Faster, More Reliable Decision-Making

Datansh helped a multi-business infrastructure enterprise move from fragmented data ingestion and delayed reporting to a scalable Azure data platform with automated pipelines, curated datasets, and near real-time visibility.

Key Outcomes

16–17% lower Synapse compute cost through pause-resume optimization.

3 major business domains enabled on one reusable platform as the solution expanded across operations.

~45% lower manual reporting intervention through automated ingestion, validation, logging, alerts, and pipeline orchestration.

AzureDatabricksSynapseModernization
RecruitmentRecruitment technology company

Scaling a Recruitment Platform Through Database and Backend Optimization

Datansh helped a recruitment technology company improve platform speed, stability, and scalability by redesigning the database, optimizing queries, and refactoring backend workflows for high-volume hiring operations.

Key Outcomes

0 post-launch issues after deployment.

~35% faster recruiter workflow responsiveness across shortlisting, scheduling, and sync-heavy actions.

~30% lower backend support burden through improved maintainability, reduced downtime, and fewer bottlenecks.

BackendDatabaseOptimizationScalability
Oil & GasLarge energy enterprise

Turning Oil and Gas Research Archives into a Queryable Knowledge System

Datansh helped a large energy enterprise transform a vast repository of research papers, technical conclusions, domain expertise, and past project knowledge into an LLM-powered chat interface that let users ask questions and retrieve the right answers instantly.

Key Outcomes

Answer retrieval moved from manual document hunting to natural-language querying in seconds.

~65% lower effort in locating the right document and relevant passage across large technical archives.

~35% faster access to past research conclusions and domain expertise for repeat problem-solving and knowledge reuse.

LLMFastAPIKnowledge SystemVector Search
International OrganizationLarge international organization

Enterprise Reporting Platform Modernization

Datansh helped a large international organization replace a poorly structured Azure SQL reporting foundation with a scalable Databricks-backed data platform, creating a stronger serving layer for enterprise analytics, multilingual reporting, and cross-functional operational insights.

Key Outcomes

Azure SQL foundation modernized into a Databricks-backed Medallion Architecture for better scalability and resilience.

0 critical post-launch issues reported after deployment.

3-stage QA-first release workflow established across Dev, QA, and Production.

DatabricksReportingAzure SQLQA Workflow
ManufacturingU.S.-based multinational manufacturer

From Static ERP Reports to Actionable Manufacturing Intelligence

Datansh helped a U.S.-based multinational manufacturer replace static, number-heavy ERP reporting with a secure Azure-based analytics foundation that unified legacy ERP data, connected additional enterprise sources, and turned reporting into interactive business visibility.

Key Outcomes

+10% revenue improvement in one department after teams could identify and correct missed business issues.

5+ source types unified into one reporting foundation across ERP, CRM, databases, and files.

100% of legacy static number-based reports modernized into interactive Power BI reporting for the targeted estate.

ManufacturingERPPower BIAzure SQL
ManufacturingDistributed chip manufacturing organization

How a Global Manufacturer Built a Power BI Center of Excellence to Standardize Analytics Delivery

Datansh helped a distributed manufacturing organization replace fragmented Power BI development and slow deployments with a governed CoE model built around standardized semantic models, tenant monitoring, and CI/CD-driven release control.

Key Outcomes

Deployment turnaround reduced from hours to minutes.

100 reports and 100 semantic models structured for optimization in a single phase.

-22% Power BI capacity overhead through semantic-model optimization and redundant dataset consolidation.

SemiconductorPower BICoECI/CD
ManufacturingGlobal chipset manufacturer

Modernizing Legacy ETL from Synapse to Databricks for Faster, Lower-Cost Analytics

Datansh helped a global chipset manufacturer replace a slow, manual-heavy Synapse transformation layer with a Databricks-based pipeline architecture that cut cost, reduced manual effort, and enabled near real-time analytics.

Key Outcomes

-50% ETL operating cost through Databricks cluster optimization and removal of Synapse overhead.

60–70% faster load and transform cycles after migrating the ETL architecture.

-80% manual schema-handling effort using PySpark, DLT, and metadata-driven automation.

SemiconductorDatabricksETLDelta Live Tables
ManufacturingGlobal semiconductor manufacturer

Digitizing Foundry Operations with Real-Time KPI Visibility

Datansh helped a global semiconductor manufacturer unify operational data from multiple systems into a centralized analytics layer, giving operations teams and leadership real-time visibility into process health and performance.

Key Outcomes

3 operational source systems unified into one reporting layer: SAP, SharePoint, and on-prem databases.

100% of targeted KPI monitoring digitized into a centralized dashboard environment.

~30% faster issue identification through real-time KPI monitoring and a single source of truth for operational health.

SemiconductorOperationsPower BIReal-Time KPIs
ManufacturingLight manufacturing enterprise

From Manual Plant Reporting to Near-Real-Time Manufacturing Intelligence

Datansh helped a light manufacturing enterprise replace manual spreadsheets and end-of-day reporting with a near-real-time Azure and Power BI analytics foundation that improved yield visibility, reduced scrap, and gave plant teams faster control over production issues.

Key Outcomes

97–99% printer yield visibility with printer performance tracked near real time.

92%+ thermal yield baseline with clear visibility into a key cost-optimization area.

Minutes instead of next shift for issue detection and intervention on resistance, nozzle, and flow-rate abnormalities.

ManufacturingShop FloorPower BINear Real-Time