Data is considered currency these days, which would become the potential fighting tool in future.

Though the idea of using data in real estate isn’t new, but the adoption and usage of new technology has provided new insights to it.

Past decade brought excessive pressure on businesses to optimize performance, comply with regulatory demands, deliver operational efficiencies, and find new opportunities for generating revenues. At the same time, the technological improvements have increased the capacity (thereby decreasing the cost of data storage ) and the availability of enhanced tools that support deep analysis. Data can now be processed almost instantaneously- something which holds crucial importance in an era when rapid, and real time decision making is at a premium. Added to this is the power to integrate internal corporate data with the external data like the financial and macroeconomic statistics.

Analytics can possibly help us out in detecting numerous hidden correlations and patterns in data, predicting the future trends, and delivering the previously inaccessible business insights.

These days we have are moving from the idea of hindsight to insight to foresight, where in predictive analytics is used to extract data, using old data predict the future.

If someone wants to move his office space, predictive analytics would possibly provide the best optimum solution. Everything from business challenges, opportunities and brand etc will be kept in mind. So if one of the major challenges is recruiting and retaining the best talent, analytics has solution for that too. We could offer to run an employee engagement initiative. Employees volunteered to have their movements tracked throughout the day using local-awareness devices. Rich data from these devices can used to perform special mapping, including a real time commute analysis. Using the employee movement and preferences, we can design a workplace solution for the client that enables them to attract and retain great talent.

Predictive analytics provides us the ability to know the property value, where that value is going to go, to help consumers make appropriate buying and selling decisions. It would provide customers to add or remove properties or property details in order to adjust its comparable value, for instance add an additional meeting room or remodel a room and see how it affects the property value.

If someone wants to move his office space, predictive analytics would possibly provide the best optimum solution. Everything from business challenges, opportunities and brand etc will be kept in mind. So if one of the major challenges is recruiting and retaining the best talent, analytics has solution for that too. We could offer to run an employee engagement initiative. Employees volunteered to have their movements tracked throughout the day using local-awareness devices. Rich data from these devices can used to perform special mapping, including a real time commute analysis. Using the employee movement and preferences, we can design a workplace solution for the client that enables them to attract and retain great talent.

Data is great, but it all depends on how you use that data to find out what’s important to your clients.

By: Lokesh, PST Analytics, He is a Senior SAS consultant and worked with many prestigious companies.