Discover, catalog and enrich all your data assets
Sidecar is a simple and intuitive tool that helps you better understand and improve confidence in your data.
Core features to successfully manage your data assets
Key capabilities
Automatically gather all technical metadata
Create a clean and relevant hierarchy with your data assets
Intuitive way to understand your assets
Add meaningful context and associate key stakeholders
Identify and tag sensitive data across the organization
Minimal IT expertise & common technologies
Data consumers will spend less time searching for the right data and focus on delivering fast insights
Collect
Stay up to date with your data assets
Collect technical information automatically
Periodically run updates to ensure accurate metadata
Catalog distant databases
Centralize all information in a single repository
Organise
Create a clean and relevant hierarchy
Group your data assets through multiple strategic axes
Define your own thematic areas for your data assets, what we refer to as a “domain” in sidecar
Associate management solutions to these domains through applications
Add concepts to tag specific data assets
Explore
An intuitive way to understand your assets
Powerful visualisation to navigate through your data assets
Filter your assets by classifications, concepts, SME, product owner, etc.
Display the full details of a node
Enrich
Add meaningful context
Add business context with clear definition of the assets and attributes
Describe in detail the business rules
Add key stakeholders such as the subject matter expert, the business owner or the ICT product owner to give data consumers additional support
Manage sensitive data
Identify sensitive data across the organization
Define your own data classification, such as GDPR, CPRA, HIPAA, etc.
Use the full text search functionality to scan all the data assets and automatically identify potential sensitive data
Create synonym and exclusion lists to narrow your search
Associate confidentiality levels to the attributes
A simple solution for high business value
Lean Technology Stack
Minimal IT expertise & common technologies
The aim of sidecar is to provide a discreet tool, with low TCO, based on known technologies and mastered by most IT teams.
● Metadata central repository hosted in SQL Server database
● API to easily exchange information
● Web interface to enrich the assets
● Intuitive visualisations to explore data
● Jobs automatically collect and update metadata
● Full auditing tables to keep track of modifications and deletions
What you need to run sidecar
Database
● Microsoft SQL Sever
● Full Text Search component
● Minimum privileges to tier databases
Application
● ASP.NET Core version 3.1
● IIS
● Easy as that!
Lean architecture for easy deployment and maintenance
Real life examples
Use cases
When creating reports or dashboards, the analyst will select data to compose their query.
They will be able to obtain additional information on the data they want to analyse by browsing in Sidecar.
It is easy to obtain information on:
They will be confident using the right data for the analysis
A student doing her master’s thesis will need accurate data to demonstrate her hypotheses.
With sidecar, the student will be able to browse the data catalog available in the analytical platform of the hospital.
The student will be autonomous in the selection of her research variables to define the patient cohort.
Accurate information
Less back and forth between the researcher and the teams performing the data extractions
Members of the compliance team will very quickly obtain a comprehensive list of the sensitive data that is dispersed across the applications of the company. They can create personalized classifications to exactly fit their needs and locate personal data in the blink of an eye.
They can also associate confidentiality levels to each data asset so the data consumers will know how to handle the data properly.
With the customized classifications they are able to refine their search by:
Discover sensitive data recently added in the transactional or decisional applications.
Automatically collect technical metadata from all data sources that are integrated into the analytical platform.
Data stewards of the different business lines can describe the data.
Business analysts use data with confidence and save precious time when looking for the right data.
sidecar is a perfect fit to an analytical platform