Offer: EXPERT
Our EXPERT offer aims at finding what you don't know about your business yet. By performing exploratory data analysis, we identify patterns or unveil insights. They can provide extra business knowledge to your team members and better address business challenges or to your board members to make strategic decisions.
Details
Data source
Data collection
Data processing
and
storage
Data visualisation
Tools
Training
Exploratory data analysis
AI and
Machine Learning
Description
Number of data sources collected for the project.
Origin of the data sources collected. External data can be collected by export, API, web scraping…
Includes data cleaning, formatting, normalisation, anonymisation, aggregation, checks and controls...
The full process can be manual, semi-automated or fully automated.
Number of dashboards included. One dashboard has several indicators and graphs.
The tools for the different steps of the data collection, processing and visualisation can be market tools (API, Google Data Studio, Power BI, Tableau…) or be specifically developed for the project (Python, Dash Plotly, Django…).
Depending on the complexity and size of the process and tools, end users can be trained on how to use them.
Investigations are performed on data to discover patterns or anomalies, test hypothesis and check assumptions with the help of statistics and graphical representations.
Machine Learning “models” are implemented to identify and learn patterns from data and make decisions with minimum user intervention.
Included
2+
First-party
and
external data
Semi-automated
or
automated
3+
Market Tool and customised development
Yes
Yes
Yes
Our projects
Real Estate Property Aggregator
Real Estate Agent
Industry: Real Estate
Business needs:
Find lands and properties from a selection of websites.
Delivrable:
Web App allowing to:
-
Get the property details from a selection of websites (price, type, number of room, area, city, location on the map, description, picture, link...),
-
Set criteria to filter properties by levels of priority per user,
-
Manage property status update per user - Filter properties / lands on a list or on the map based on the location, type, priority or status,
-
Display the transaction history and indicators (average price, price per sqm, per type, number of bedrooms,...) based on the property sales data aggregated by county, city, area and building / house.
Methodology and tools:
-
Web App framework - Dash / Python,
-
Historical data cleaning and aggregation,
-
NumPy / Panda - Data Visualisation & Geolocation – Plotly / Dash leaflet / Mapbox,
-
Web scraping – Scrapy / BeautifulSoup.
