Use Cases that bring data together
Making your property data work for you, your tenants and their customers.
​Get a Snapshot of Asset Data
Your properties are generating tons of data. Let's face it, your data is all over the place. When people need to get insights from the data, it takes a long time to assemble. The entire organization is frustrated and working on data cleaning instead of high impact action items.
The asset view is used to create a property snapshot – the Swiss Army knife of your data strategy. It’s cross functional and because of that, a great way to jumpstart a data program by providing benefits to nearly everyone in the company.
When the CEO reports NOI to shareholders or the marketing specialist reporting Google Reviews to the leasing team is made easy, then people can focus on getting insights from the data.
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Learn more about how to value data assets from REITS.
Manage Property Leasing Performance
When it comes to managing a property, it’s crucial to have a single view of the customer – the tenant. Quite often tenant data is spread internally (JDE or Yardi), externally (VTS, Building Engines or Propidex) and even publicly (Facebook reviews or Google places). The leasing team might be struggling with fractured, siloed data sources that prevent their ability to make informed decisions.
Imagine having instant access to key statistics that better manage your customer portfolio. The leasing performance view helps the team develop a fuller picture of their tenants and their business.
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People can track their portfolio’s occupancy and vacancy rate, quickly zero in on units coming up for expiries or those that have been vacant for a while. When working on a proposal, they can easily pull average rent, CAM and taxes for a property.
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Democratize Cash
Flow Data
Proactively managing cash flow is crucial to the core of every business. While accounts receivable (AR) data often resides entirely within one system–like a JDE or Yardi–it is a domain of data that’s in demand across an enterprise, yet difficult to access.
People in various business units are often asked to wait, then manually merge AR data for analytics insights. This time-consuming process reduces work satisfaction. As a standalone data product, AR Analytics can be designed in a way to democratize cash flow data at an organization, portfolio, property or tenant level.
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Here are some cross functional examples:
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Quickly understand how different portfolios are performing, then pivot to see how they perform relative to different collection methods or even see how a single national account is performing across your different portfolios.
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The ability to zero in on those tenants where AR is trending up and while having data to mitigate collection risks with 120+ days accounts.
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Understanding your exposure when a national account has a financial downturn.
Knowing Shopper Engagement
Knowing your customer is good, but knowing your customer’s customer is even better.
There are nuggets of valuable information, however, often deeply embedded in proptech csv files or hidden external sources.
People like to have a positive impact on their work, so they are happy when they have all the best information available on an easy to use UX. Combining the demographics, activity and operational details of shopper engagement is vital for creating a vibrant space that meets the needs of the greater community. Data can be pulled from third-party sources like Google or Facebook reviews to understand the voice of the shopper.
Beyond commercial benefits, property managers can better understand HVAC needs, determine staffing levels or non-peak times to take escalators offline for preventative maintenance.
Attribute
Marketing
Performance
Attributing investment to business impact has always been top of mind for marketing leaders. Marketing teams often feel the pain of data silos the most. By their nature, they interact with multiple proprietary sources in their day-to-day.
Without an integrated system it’s nearly impossible to understand how investments across their channels are truly performing. They rely on quick analysis to uncover problems before, not after they happened.
A typical real estate or property management company will have their data spread across systems for website analytics, CRM for leads (inbound), marketing automation (outbound), various advertising platforms (Google Adwords, Facebook, Instagram, LinkedIn, YouTube, Pintrest, etc.), and even event management software.
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Find more use cases from a recent CIO Forum were we presented.
