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Tensorblue in real estate

stamp-collection

01

Data Collection

TensorBlue's rigorous data collection process involves identification, extraction, cleaning, and storage. The data is then used for AI-powered analytics tools like TensorChat to generate actionable insights. Best practices for data governance, privacy, and security are followed throughout the process.

02

Scraping data

Scraping involves collecting data from websites using web crawlers or scrapers. The process includes identifying relevant websites, extracting data, and cleaning it to remove any inconsistencies or errors. The resulting data can then be used for analysis or other business purposes.

Paint Scraper
Image by David Levêque

03

Automations

The process includes identifying the tasks that can be automated, selecting the appropriate tools and technologies, and designing and implementing the automated workflows. The resulting automation can help increase efficiency, reduce errors, and free up resources for more complex or strategic tasks.

04

Research

Research involves the systematic investigation of a topic or issue using a structured approach to gather and analyze information. The process includes defining the research question, identifying relevant sources of information, collecting and analyzing data, and interpreting and communicating the findings.

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