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Client
A global property services provider with a diverse portfolio across residential and commercial markets. Operating in competitive, regulation-heavy environments, the company relies on trusted data to drive faster decision-making, maintain compliance, and ensure transparency across operations. For this initiative, the client aimed to modernize its data infrastructure to unlock the full potential of analytics and AI while future-proofing operations against market disruption.
Market Trends in Real-Estate
Across regions, evolving buyer expectations and tight inventory push agencies to embrace digital-first strategies, leveraging social platforms, marketplace portals, and targeted marketing to increase visibility and accelerate deal cycles. In an environment where speed, responsiveness, and market insight are critical differentiators, leading brokerages invest in technology-enabled client engagement and data-driven decision-making to strengthen their competitive edge and capture growth.
Business Challenges
The client data landscape had grown fragmented, with inconsistent definitions, limited visibility into data lineage, and unclear ownership across business units.
The client set out to elevate their data governance maturity to address these gaps. This included:
- Lack of centralized governance dashboards: Without unified dashboards, tracking key metrics and ensuring team accountability was inconsistent, impacting transparency and performance oversight.
- Absence of standardized data quality metrics and glossary: Teams worked with varying definitions and KPIs, making it difficult to align on performance standards and collaborate effectively.
- No consolidated data catalog and lineage tracking: Disparate systems limited transparency into property data flows, hindering the ability to trace listings and transactions across markets.
- Lack of a centralized Center of Excellence: Without a formal governance body, data stewards and custodians lacked clearly defined roles, responsibilities, and guidance for best practices.
- Limited data literacy across the organization: Inconsistent understanding of data usage and value reduced the organization’s ability to make fast, informed decisions.
A comprehensive assessment of the current state was essential to identifying governance gaps, defining a scalable target operating model, and rolling out a roadmap that could be adopted across lines of business.
This transformation was about compliance and enabling the business to move faster, with greater confidence and resilience.
Solution
LTIMindtree partnered with the client to co-create a governance transformation strategy powered by Informatica’s Intelligent Data Management Cloud (IDMC). A business-first approach ensured alignment with strategic objectives while enabling tangible steps for execution. Key interventions included:
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Assessed governance maturity and defined target-state architecture
Conducted a comprehensive review of current data governance practices and designed a scalable architecture aligned with strategic objectives.
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Defined data quality scores and stewardship responsibilities
Established measurable quality benchmarks and clarified ownership roles to strengthen accountability and standardize practices.
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Implemented governance dashboards for improved visibility
Deployed centralized dashboards to monitor key metrics, enabling faster, data-driven market decision-making.
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Recommended the right-fit IDMC tools for cataloging and quality
Identified and integrated Informatica’s Intelligent Data Management Cloud components to enhance cataloging efficiency and data quality management.
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Formalized governance structures
Created a Data Governance Charter and established a Governance Council to drive adoption and enforce best practices.
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Rolled out training and literacy frameworks
Designed and delivered organization-wide enablement programs to improve data literacy and foster a culture of informed decision-making.
Business Benefits
10x improvement in productivity
10x faster decision-making
20-point reduction in compliance risks
5-star transparency rating
Conclusion
The client built a resilient, scalable data foundation by embedding governance into its operational framework. Powered by Informatica’s Intelligent Data Management Cloud (IDMC), it can lead with transparent, compliant, and data-driven decision-making at both speed and scale.
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