The client, India's first publicly listed retail real estate
investment trust, manages a vast portfolio of 17 Grade A urban
consumption centers, two hotel assets, and three office assets,
covering approximately 9.9 million square feet of gross leasable
area across 14 cities. They faced significant challenges managing
their expansive portfolio due to scattered data across various
departments and vendors. This lack of a centralized data management
system hindered their ability to perform business intelligence (BI)
and predictive analysis, limiting the data's potential use
for marketing, sales, and brand partnerships.
The Challenges
The client's data was dispersed across multiple sources
and formats, managed by different external vendors. The reliance on
these vendors for data access created bottlenecks, causing
inefficiencies in business processes. Additionally, the data was
unstandardized, making it difficult to perform any significant BI
analysis or leverage
