Deep Data

Improves Workflow and Valuations

Deep Data Improves Workflow and Property Valuations
Deep data improves workflow and property valuations through data asset value, the digitization of property and operational autonomy.

The digitization of deep property data is the foundation to the digitization of property operation, reducing expense and earning revenue.

Discover how deep data improves workflow in four typical property operations, the impact of digital assets on property valuations and how owners can capitalize on a $6 Billion market for data in a new generation of analytics.

Related
Deep Data Introduction
Digitization of Physical Property
Digital Data Benefits for NNN Owners
AI Data Library Intro
CaPSCi – Construction to Property Data Exchange
Build (BIM) and Property Information Models (PIM)

Deep Data Benefits & Value 1:48
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Digitizing physical assets and property operation leverages advanced data analytics to streamline workflows and optimize manpower utilization. Here are several examples of how AI and augmented autonomy will transform the real estate industry.

Management can spend three hours daily on scheduling property activities alone!

The digital exchange of data between stakeholder technologies will reduce manual scheduling, from hours to minutes.

Managing the start of a small improvement or updating annual contracts usually takes weeks! The combined technologies, and AI data from industry, property and contractors, will turn weeks into days.

Insurance documentation is a common process but consumes manpower at three organizations! PropTech, Management and Contractor data will seamlessly provide deliverables in seconds without any user intervention.

Due diligence, pre-screening and on-boarding assets can take months!

Digitizing physical property reduces deep analysis to hours, reducing the cost and user learning curves.

Digitization of physical property has been an industry objective for decades. Today, digitizing operation provides the real estate industry, property owners, and service providers with a robust foundation to harness their data assets for enhanced operational efficiency and insight.

Data transforms manual workflow through augmented autonomy to recover valuable manpower. Improvements in operating efficiency are expected to increase property valuations by 5% or more.

In addition, Deep data provides owners with a fresh revenue opportunity. A new generation of data analytics will emerge in AEC, build and supply chains.

Digitizing physical assets and property operation leverages advanced data analytics to streamline workflows and optimize manpower utilization. Here are several examples of how AI and augmented autonomy will transform the real estate industry.

Management can spend three hours daily on scheduling property activities alone!

The digital exchange of data between stakeholder technologies will reduce manual scheduling, from hours to minutes.

Managing the start of a small improvement or updating annual contracts usually takes weeks! The combined technologies, and AI data from industry, property and contractors, will turn weeks into days.

Insurance documentation is a common process but consumes manpower at three organizations! PropTech, Management and Contractor data will seamlessly provide deliverables in seconds without any user intervention.

Due diligence, pre-screening and on-boarding assets can take months!

Digitizing physical property reduces deep analysis to hours, reducing the cost and user learning curves.

AI Data Library

Digitizing Physical Property

A conceptual view of property operation, its data, sources and value of digital data. 4:52
AI Data Library

Deep Data Introduction

Introduction to deep data and digitizing physical property4:20
AI Data Library

Digitizing Property Operation

Review the complexity, limitations and challenges in property ecosystems.0:52