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Real Estate and E-commerce

Transform your real estate and e-commerce services with data science

Real Estate and E-commerce
Big Data brings predictive management to the heart of the real estate professions. Predictive investment models are particularly in the spotlight. They will develop even more over the next few months and years.
Access to analyzed data allows real estate agents and other professionals in the field to refine the targeting of their clients via visualization tools, but above all to set up, for the most advanced algorithms, predictive analysis to anticipate the future needs of their customers.
Data science is pursuing its revolution in the collection and use of data in all sectors. Real estate and E-commerce are not forgotten in this perpetual movement. Thanks to related technologies, they thus have the possibility of acquiring more easily and more quickly knowledge on the market and on the behavior of buyers, sellers, tenants or simple prospects. And that's not all, predictive analytics opens the door to all possibilities.

Data science at the service of Real estate and E-commerce

Real estate and e-commerce are no exception to the rule: they produce an impressive stream of continuous data that should be analyzed. These data mainly relate to:
• Price changes.
• The deadlines linked to the various transactions.
• Information on past, current and future projects.
• The number of real estate transactions.
Data pertaining to the customers are:
• Rental investment projects.
• Principal residence purchase projects.
• Information relating to mortgage loan applications.
• The level of household debt.
Thanks to Data science tools, businesses can thus collect this data, combine it and analyze it for the purpose of anticipation. The correlation of information makes it possible to anticipate the needs of a buyer or a seller.
Many tools related to Big Data have thus developed to meet the needs of real estate and e-commerce businesses. We are thinking in particular of CRM to collect information but also of data visualization to have a global vision of the market and adapt its development, growth and marketing strategy. Sites currently make it possible to estimate changes in the short, medium and long term, to sell a home in a few minutes or to find potential buyers interested in a specific property. A considerable saving of time for the real estate professions.

Main categories of data for the real estate sector:

Real estate market data (number of transactions, average time, price trends, etc.)
Data specific to buyers (socio-professional activity, income and budget, home-work journey, community affinity, budget, criteria for the property sought)  
Data related to the environment (infrastructure and public equipment, shops)
Data dealing with the sales process (number of ads viewed, average time between first contact and signing of the deed of sale)

Why Data Science is important in real estate and e-commerce

• Target clients: Big Data tools allow real estate agents to know which property may be of interest to which target. They therefore avoid wasting time in any unnecessary prospecting.
• Anticipate customer needs: having all the information and data on an asset and on a sector makes it possible to anticipate needs but also customer requests and objections. The real estate professions can thus arrive with a solid file to convince and persuade. With the analysis of real estate projects in progress in a more or less large sector (district, city, district, regional department, etc.) real estate agents make supply and demand coincide.
• Help clients in their choice: if human can never be replaced in real estate and e-commerce, Big Data brings real added value to the sale and purchase process. Accurate information in support, the real estate agent can thus bring his know-how to his clients. Location of the property, nearby services, direct environment, amenities and so much data that the professional can relay to individuals in a few seconds. These are obviously decisive criteria in the purchase decision. Disseminating them transparently and quickly is a real plus to help the prospect take the plunge.

Some of HData Systems’ leading data analytics tool for real estate and e-commerce

• RealData.
• Zilculator.
• RealNex
• Dealcheck
• Buildium

Our Services

Data Science

Data Science is a structured and unstructured model to extract insight from data in different forms and add value to the businesses.

Data Warehousing

Data warehouse system is a powerful, scalable, and affordable—enabling organizations to share petabytes of data across thousands of users.

Data Analytics

Data Analytics is the process to analyze data sets in order to draw conclusions about the information with specific systems & software.

Data Visualisation

Data visualizations perform the best role in addressing this challenge and help with interacting science outputs to a wide variety of audiences.

Data Migration

Data Migration is the process of transferring data from one storage system to another to save necessary and relevant data.

Big Data Implementation

Big Data implementation helps you to make decisions on the basis of insightful data and forecast business future.

Predictive Analytics

Advance Analytics is a tool that help you to extract more data and forecast trends, behaviours, events, and more to perform better.

IoT Analytics

IoT Analytics is an application of data analysis tools and adds value to the data to facilities by connecting with the Internet of Things.

Customer 360

Customer 360 provides data with a 360 degree view and enables you to interact and support every detail about the customer.


DevOps is a set of practices that merge IT operations and software development to deliver high quality software and improved software life cycle.

Microsoft Power BI

Microsoft Power BI is a business analytics service that provides interactive visualizations & business intelligence to create dashboards & reports .

Qlik Sense & QlikView

Qlik Sense & QlikView is an analytics solution and platform to integrate data, analysis and data-driven intelligence that deliver business growth.


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Tools & Technology

Data Science Tools & Technologies

  • google-ai
  • amazon-mc
  • apache-spark
  • azure-mc
  • hadoop
  • java
  • jupyter
  • kiabana
  • parquet
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  • r-language
  • r-studio
  • scala
  • spark-mlib
  • tableau
  • tensorflow
Case Studies

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Hyperlink InfoSystem is one of the leading software development companies based in India and has offices in USA, UK, UAE, France, and Canada. With 10+ years of experience in the industry, Hyperlink InfoSystem served more than 2,300 clients worldwide. The company has a team of 450+ highly skilled developers who works on any custom solutions using the latest technologies.

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