Case Study - Real Estate Digital Transformation by Avenga | IoT ONE Digital Transformation Advisors

	Real Estate Digital Transformation Avenga

Challenge	Client started its digital transformation journey and decided to get rid of its legacy systems and build a new robust and comprehensive solution. The initial phase of the transformation required competent consulting services, that is an understanding of the processes and flows, identification of key business goals, and highlighting of possible risks and constraints. During the discovery phase, the main finding was that the package solution did not cover a significant portion of the business and functional requirements due to differences in the real estate business processes within NYC vs across the US. Technical Challenges included: Poor data quality, duplicates, and unstructured data. The existing MLS did not have an API and supported only FTP. Some critical limitations and constraints of the managed package Read More
About Customer	A real estate agency with a business focus on residential rentals and sales in New York City. Read More
Customer Name	Not disclosed Read More
Solution	Client opted for a Propertybase managed package solution to address most of their business requirements. For instance, a low Salesforce license price, an out-of-the-box database model, and an existing client-facing website as part of the product. The best solution in terms of costs and time-to-market was: Heroku, a PaaS (platform as a service) that enables developers to build, run, and operate applications entirely in the cloud. MuleSoft, is a provider of an integration platform that helps businesses connect data, applications, and devices across on-premise and cloud computing environments. Read More Log in to view content
Contents

Challenge

Client started its digital transformation journey and decided to get rid of its legacy systems and build a new robust and comprehensive solution. The initial phase of the transformation required competent consulting services, that is an understanding of the processes and flows, identification of key business goals, and highlighting of possible risks and constraints.

During the discovery phase, the main finding was that the package solution did not cover a significant portion of the business and functional requirements due to differences in the real estate business processes within NYC vs across the US.

Technical Challenges included:

Poor data quality, duplicates, and unstructured data.
The existing MLS did not have an API and supported only FTP.
Some critical limitations and constraints of the managed package

About Customer

A real estate agency with a business focus on residential rentals and sales in New York City.

Customer Name

Not disclosed

Solution

Client opted for a Propertybase managed package solution to address most of their business requirements. For instance, a low Salesforce license price, an out-of-the-box database model, and an existing client-facing website as part of the product.

The best solution in terms of costs and time-to-market was:

Heroku, a PaaS (platform as a service) that enables developers to build, run, and operate applications entirely in the cloud.
MuleSoft, is a provider of an integration platform that helps businesses connect data, applications, and devices across on-premise and cloud computing environments.

Log in to view content

Contents

Overview

Real Estate Digital Transformation