Real Estate & Construction
Europe
Managed Analytics
Data Silos:
The presence of isolated data silos, where information is stored in different and often incompatible systems, makes it challenging to consolidate and identify trends, assess demand-supply dynamics, and predict future market movements.
Robust Analytics Framework:
The lack of a structured and comprehensive analytics framework hinders their ability to track and monitor present market data (market volatility rates, economic indicators, regulatory changes, customer inquiries) limiting investors make informed business decisions
Untargeted Marketing Strategies:
In a recent campaign targeting a broad audience, the client struggled to adapt marketing strategies, pricing, and the overall sales process based on customer behaviour and market trends.
Overhead Costs:
Inefficient supply chains due to difficulties in predicting material needs, managing inventory, and finding cost-saving opportunities, leading to impacts on project timelines and quarterly budgets.
After thoroughly analysing the challenges, the client associated with our real estate analytics team, and we suggested and implemented end-to-end managed analytics and power BI solutions:
Property Portfolio Analytics: Advanced managed real estate analytics framework was set-up to offer a comprehensive understanding of property portfolios. With this, stakeholders can now analyse residential real estate data, construction project analytics, and market intelligence, facilitating the identification of trends, risk assessment, and capitalization on growth opportunities.
Set-up of a Data Warehouse: To ensure a unified view of real estate data, our team implemented a centralised data warehouse to consolidate diverse datasets. And as the data grows, our scalable frameworks remain flexible, accommodating new sources and evolving analytical requirements.
With the deployed managed analytics framework, came visible results.
Achieved Targeted Advertising: Real-time insights empowered targeted campaigns, resulting in a 24% improvement in marketing effectiveness and increased TG engagement.
Better Team Collaboration: By addressing the talent gap, better team collaboration within the internal team was achieved. This not only met project deadlines but also filled the skill gap in the team without the need for a full-time employee, leading to increased client satisfaction and resource savings.
Cost Saving Opportunities Created: Advanced managed analytics framework plus the finance dashboard insights improved prediction of material needs and identified cost-saving opportunities, leading to a 20% reduction in supply chain-related overhead costs.
Boost in Occupancy Rates: Achieved a 10% boost in occupancy rates through effective analysis of market trends, target group preferences, and property values using custom Power BI dashboards.
Faster Project Timelines: With a data warehouse and streamlined analytics structure in place, it contributed to efficient construction project analytics, resulting in a 15% improvement in project timelines.
Scalable and Flexible Solutions: The implementation of a scalable data warehouse ensures adaptability to new data sources and evolving analytical requirements.
Enhanced Investor Confidence: Real time insights from BI dashboards improved risk assessment and identified growth opportunities, enhancing investor confidence in the firm’s decision-making capabilities.
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
