Leading real estate developer in United Arab Emirates
The leading real estate developer in United Arab Emirates wanted to become more data-driven to make project planning and marketing more effective. It had plenty of data to work with from its long history, but that data tended to be siloed in various business functions and hadn’t been leveraged to generate marketing or operational insights that could apply to future projects.
A new approach to data and analytics could provide a 360-degree view of its customers along with key performance indicators in areas of lead scoring, digital channel engagements and project benchmarking processes. The objective was to supplement all this with a knowledge engine that could help generate insights generated from both structured and unstructured data. Implementing such a system called for new technology, but it also required new processes and realignment of its organization to facilitate better connections among every function that handles data. Wipro was selected to build an end-to-end solution that turned data into an asset for insights and decision-making.
Wipro worked with the real estate developer to create a centralized platform that could aggregate and store relevant data from more than 40 systems across the enterprise using the Microsoft Azure cloud. Wipro also created a decision science platform with all the tools required for managing data ideation, integration, and exploration and for enabling model development and deployment.
Another key element, a presentation platform, enabled users to understand the significance of data through a visual context that illustrates patterns, trends, and correlations. Wipro also created a data management and governance strategy, enabling the real estate developer to effectively handle and process its information.
The new data analytics platform achieved all the developer’s key goals. With a 360-degree view of its customers across all business units, the developer can easily generate segmentations. Lead scoring using artificial intelligence/machine learning helps the business prioritize sales efforts. Engagement analysis has improved the company’s digital marketing efforts and social media engagement. Now, the real estate company is also able to benchmark projects in terms of costs, analyze cost variations across projects, and use that knowledge to make better estimates for future projects. Finally, the knowledge engine enables analysis of unstructured data to uncover new ideas and opportunities and generate real competitive advantage.
The results have already been extremely promising: better lead scoring and digital channel engagement fuels conversions and drives revenue growth. Cost benchmarking is making it easier to find potential savings throughout the company. The new knowledge engine has generated insights that led to more efficient vendor contracts and relationships. The client is also using this data platform to evaluate and support customer relationship management initiatives in marketing, customer service, sales, and brand monitoring to improve ROI.
Wipro continues to work with customer to help them drive business growth, reduce operational expenses, improve efficiency, and enhance customer experiences.