Hipercept Data Management


Commercial real estate investments are by nature dynamic and fluid. Portfolio managers are more reliant than ever on the quality and timeliness of information as investors are no longer passive and decisions need to be made in near real-time. Demands for decision-making information are continuous and wide ranging, spanning from lease level to portfolio details.

Data is changing the way companies think and operate. It lives in every transaction, asset and decision. Data is created by partners, providers and employees. It is the underlying fabric, of all company decisions made today. The ultimate challenge is turning that data into information.

In addition, the complexity of commercial real estate investing is exponentially increased as the data typically resides in a myriad of systems, with various partners across different regions and distinctive business units. Connecting to that data is a massive challenge for portfolio managers.

Consolidating data in real-time creates a new paradigm in commercial real estate. It changes the questions asked and the answers given. It helps manage risk and enhance value by delivering a new level of data sophistication. Connecting your enterprise will create a comprehensive 360-degree view of operations, assets, performance and projections. Consolidation also allows organizations to operate on a single version of the truth and will let information drive decisions by arming decision makers with actionable intelligence.

Enterprise Information Management (EIM) is the foundation of connecting your enterprise. Hipercept has been helping Investment managers define and deploy their EIM strategy since our inception. Through proven processes, technology and experience, we can help your organization connect to your data and transform it into information.

It starts with the three pillars of EIM :


Connecting your enterprise requires globally standardizing data definitions. True business intelligence can only be achieved when you are comparing apples to apples.


  • Data Standards – Enterprise wide view of data definitions and which elements are important.
  • Data Governance & Management – Protecting your data and ensuring the highest level of integrity.



Consolidate your data into a single repository where it can be accessed, analyzed and protected.


  • Data Warehouse to store all of your data in one single repository.
  • Data Integrations and Aggregation – collect data from internal systems, external partners and market data providers.
  • Data Marts accelerate the analysis of data.


Turning your consolidated data into information through visualization, advanced analytics and standardized reporting.


  • Reporting Visualization – Dashboards, charts, graphs and maps provide decision makers with key performance indicators.
  • Mobile – Your information, anywhere, at any time
  • Data Analytics – advanced analytics tools to slice and dice data, run scenario analysis and predict what will happen in the future.


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