Transformational Analytics in Commercial Real Estate

Discovery in Commercial Real Estate

Global commercial real estate companies are undergoing an analytics transformation to drive better decisions on tenant experience, green building technology, and acquisition opportunities.

Let data drive pricing decisions

Set optimal pricing for land, building, and rental assets with aggregated datasets, and anticipate fluctuations with continuously updating pricing models.

Keep your tenants happy

Reduce vacancy periods by proactively identifying causes of churn, and assess amenity use and in-person connection a tenant has with the space.

See beyond the obvious acquisition targets

Identify valuable acquisition targets and assets with high-profit potential by analyzing multiple data sources, including occupancy rates, construction delays, seasonal availability, and price shifts.

Sustainable predictive maintenance

Address the push to net-zero by incorporating smart energy insights into construction plans. Predict seasonal changes in energy use and identify common maintenance issues for pre-emptive action.

AI venture paying off for Oxford, Investa

A strategic alliance helps Commercial Real Estate giants gain a competitive edge in acquisitions, property management, and sourcing new investors.

3 ways AI will revolutionize brick-and-mortar retail

The retail landscape has completely shifted since its installment in the early 20th century. Today, the industry offers customers a limitless variety of choices while it continues to change.

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Generative AI for data analytics: the future of enterprise sense-making

In the case of enterprise data analytics, generative AI will radically change the way we interrogate our data to explore, react to and shape our business realities.

Generative AI for data analytics: the future of enterprise sense-making

New data models for a new world

Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.