Solutions
Real Estate & Property Management Data Solutions
INTRODUCTION
The potential value to your Property Management business is limitless.
In commercial property management, data analytics and machine learning offer vital advantages. These technologies optimize occupancy rates by analyzing historical patterns and predicting future trends. Enhanced leadership dashboards provide real-time insights for prompt decision-making. Integration with systems like Yardi (Yardi property management) automates tasks, improves data accuracy, and facilitates informed decisions. Together, these advancements make commercial property management more dynamic, responsive, and efficient.
Unlocking Property Management Insights: Extracting and Analyzing Yardi Data
BENEFITS
How can Calligo help your Property Management business?
An Example of Calligo’s Data Visualization Capabilities for Property Management Teams
Used by a national real estate leader’s executive team to monitor occupancy and sales trends and pre-empt any danger of missing targets.
Imagine running your business with this level of detail
See the full summary, or examine the detail in context.
Interrogate what it shows and experience its full functionality.
Underlying data can be restricted according to users’ permissions or needs and design can be customized to your own brand.
An Example of Calligo’s Data Visualization Capabilities for Property Management Teams
Built for a state-wide real estate company. Finance team, business analysts, sales heads and C-suite all working from same dataset, finding opportunities and fixing shortfalls together.
Summary versions built for C-Suite and regional heads, and individual versions used by branch managers and individual reps
REVIEWS
See what our clients say about us
The reason Calligo’s machine learning predictions have been proven to be so accurate is not just down to their data science skills. It is because they have an unusual blend of technical expertise and commercial understanding. Statistically-accurate models are commonplace. But teams that can create models that are both mathematically precise and also commercially savvy are very rare, and it is what Calligo specialises in.
Calligo did a great job of helping Sunrun understand the art of the possible. Calligo came into our business and really taught us best practices in terms of Tableau application and what good looks like.
The skills required to perform this sort of analysis were almost as varied as the datasets themselves. The project had to be planned strategically, requiring in these early stages more business analysis capability than data science. There were then substantial amounts of expert data cleansing and re-architecture required to ensure the intended insights would be extractable. And then once the data scientists had built and painstakingly fine-tuned the custom models, the team then also distilled the mathematical outputs into comprehensible, usable outputs. From commercial strategy to data architecture and data science, Calligo’s special mix of capabilities was exactly what this project needed.
Data science projects often slip up by not sufficiently considering the end user, and how the output is intended to be used in practice. If humans are expected to make decisions based on the model’s calculations, then the data needs to be presented contextually, interactively and attractively. Calligo’s dashboards and visualizations allowed our teams – most of whom had no analytical experience – to interact with some of the most advanced data science they would perhaps ever come across, and make strategic decisions simply and confidently. The importance of this skillset cannot be underestimated.
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