MicrosoftPilotEvidence: Medium65/100

DLF Ltd revolutionizes content management and collaboration across real estate operations

DLF Ltd, India’s largest commercial real estate developer, faced significant challenges managing over 2.4 million content items in their legacy IBM FileNet P8 system. This resulted in duplicated efforts, content misclassification, and collaboration barriers across widely distributed teams and subsidiaries. To address these issues, DLF transitioned to Microsoft 365, leveraging SharePoint Online for content services and Azure Information Protection for security. The migration, led by Proventeq using their Migration Accelerator software, incorporated AI-driven discovery, automated classification, and an incremental migration process designed to reduce business disruption. The project involved extensive pre-migration analysis to identify data inconsistencies, a pilot migration for validation, and rules-driven incremental migration managed with PowerShell scripting to handle high-volume content and metadata requirements. The new architecture centralized content, improved information governance, and enabled granular permissions, ensuring secure sharing with internal and external stakeholders. DLF experienced a 35% reduction in licensing costs, smoother information access, minimized downtime during migration, and enhanced collaboration. Proventeq also provided 90 days of post-migration user support to ensure smooth adoption and resolution of user challenges. The project delivers DLF an intelligent, secure, and scalable content management platform aligned with their ongoing digital transformation.

Organization
DLF Ltd
Industry
Real Estate
Location
India
Published
July 2019

Reported outcomes

Cost: −35%

Cost savings

Catalog median for cost savings deployments: −40% across 171 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 35% decrease

adoption.microsoft.comJul 15, 2019Case studyInferred claimMedium evidence strength

Reduced licensing costs by 35%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
DLF Ltd
Provider
Microsoft
Maturity
Pilot

The project involved extensive pre-migration analysis to identify data inconsistencies, a pilot migration for validation, and rules-driven incremental migration managed with PowerShell scripting to handle high-volume content and metadata requirements

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Intelligent Content Migration and Classification
  • 2Granular Enterprise Information Security and Permission Management
  • 3Automated Metadata Transformation and Content Analytics
  • Migrated to Microsoft 365 with SharePoint Online as the core content platform.
  • Leveraged Proventeq’s Migration Accelerator for AI-based content discovery, classification, and migration.
  • Used Azure Information Protection for granular permission management and enhanced data security.
  • Employed PowerShell scripting to automate migration rules and metadata transformation.
  • Implemented an incremental live migration strategy to minimize business downtime.
Architecture

The solution used Proventeq Migration Accelerator to analyze and classify content within the IBM FileNet P8 environment, applied custom mapping and transformation rules, and migrated data in stages into SharePoint Online. Azure Information Protection facilitated granular permission management and compliance, while PowerShell scripting automated content classification and migration processes. The architecture centralized content storage on Microsoft 365, supporting secure, flexible collaboration among both internal and external users.

Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Case StudyPublished: Jul 15, 2019Publisher: adoption.microsoft.comEvidence: PrimaryConfidence: High

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