Digitizing Physical Asset Data

An Introduction to Deep Property Data?

Digitizing Physical Asset Data - An Introduction to Deep Property Data
In simple terms, SLACi explains digitizing physical asset data in an introduction to deep property data. What it is and why digitizing physical assets is so important to the digitization of operations.

In addition, we explore the property owners tech stack, the expense of digitization while highlighting the value deep data offers in operations and emerging markets for data 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 Property Data, What is It? 4:20
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The digitization of property, has many moving parts! In this presentation, SLACi introduces deep data used in digitizing physical assets. In addition, we’ll help owners understand what strategic investments in technology they can make, to facilitate digitally enhanced operations, and improve asset valuations.

Digitizing physical property is a matter of documenting the deepest details of the asset to improve efficiency.

Today, these initiatives have moved beyond basic computer files like word and excel, to machine readable data stored in the cloud.

This property data will be combined with vendor technologies to digitize property operation, enhance workflow efficiency and create value in data assets.
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Deep data is best described as detail manufacturer’s publish in product documentation. The concept of build is to assemble a final product from many components.

This Information or the specifics of build are unique to each property and inherently linked to its operation and maintenance.

Providing digital access to the data creates a foundation to improve operational efficiency through the technology of service providers who build and maintain assets.

Data creates value through operational efficiency. It also offers property owners an opportunity to generate revenue in markets for data analytics.

Access to detailed property information will transform manual workflows through augmented autonomy.

And, deep data allows service provider technology to emerge independent of the property and its digital assets, at no additional cost to property owners.

The complete digitization of a physical property may only be feasible in new build projects that digitally document construction.

Existing assets will assemble files and publish digital data progressively, beginning with a minimum dataset required to begin initiating workflow autonomy.

It’s important property owners understand the digitization of property operation is deep tech. This means digital operation requires many technologies and user solutions that will emerge over time.

However, the contribution of owners is limited to property data and infrastructure for secure access. Service providers will adopt technologies that use your data, to improve their own process and procedures.

Note. The digitization of property operation is deep tech. This means it requires many technologies and solutions that will emerge over time.

Typically, the technology contribution of owners is limited to the property data and infrastructure for secure access.
Service providers will adopt technologies that use your data, to improve their own process and procedures.

Property Owners will start transforming assets by preparing a minimum data-set that combines digital data with analog files. A well documented one story building could cost less than $10K to convert.

Once assembled, we’ll need a cloud account (starting around $200 a year) to store and share data.

In fragmented business models like real estate a unified Security model is critical. SLACi offers an agnostic infrastructure that operates seamlessly in the background. Early forecasts suggest data security will cost about $5K with a $100 annual fee.

Finally, digitized property operation requires a central authority to oversee data and workflow integration between widely diverse user technologies. Management technology will provide most administrative functions for the property’s digital assets.

There are several ways to store deep property detail but basic text files offer the greatest performance, flexibility and portability between owners, users and technologies.

Here we display Information in tech-speak on the left. Details are viewed in a browser or user app as presented on the right.

In contrast, the same data stored in a pdf would require users to upload a file so artificial intelligence can search and extract details. Once information is retrieved, users can continue with the task at hand.

Digitized property data allow users and technology to skip these steps and retrieve data as part of the process.

Thank you for attending SLACi’s presentation on deep data and the digitization of property.

Additional white papers on property data, AI, and workflows are available at SLACi.com.

Further details about the Construction Project Supply Chain Infrastructure, CaPSCi, and AI data solutions for build, can be found at the Bid Forms Organization.

To initiate the digitization of your physical asset, please contact the AI Data team at SLACi.

The digitization of property, has many moving parts! In this presentation, SLACi introduces deep data used in digitizing physical assets. In addition, we’ll help owners understand what strategic investments in technology they can make, to facilitate digitally enhanced operations, and improve asset valuations.

Digitizing physical property is a matter of documenting the deepest details of the asset to improve efficiency.

Today, these initiatives have moved beyond basic computer files like word and excel, to machine readable data stored in the cloud.

This property data will be combined with vendor technologies to digitize property operation, enhance workflow efficiency and create value in data assets.

Deep data is best described as detail manufacturer’s publish in product documentation. The concept of build is to assemble a final product from many components.

This Information or the specifics of build are unique to each property and inherently linked to its operation and maintenance.

Providing digital access to the data creates a foundation to improve operational efficiency through the technology of service providers who build and maintain assets.

Data creates value through operational efficiency. It also offers property owners an opportunity to generate revenue in markets for data analytics.

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

Digitizing Property Operation

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

Deep Data Benefits

Discover the value of deep data and its affect on asset valuations.1:48