The client is a global leader in real estate services. The client offers services across investment and asset management, property management, project management and development, and sales and leasing.
The client was facing the dual challenge of handling huge volumes of data and non-scalable platforms. The situation was further made difficult by the complexity and duplication of data management tasks and related infrastructure. The siloed data environments limited the capability to ingest and process data from multiple and diverse data sources while ensuring data transparency and trust. At the same time, the client was struggling with data latency issues and found it difficult to apply analytics and quickly extract business insights.