Ensure the quality of your data

A new, simple, and effective approach to improving the quality of your data in minutes! One tool, one method, one team.

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Compatible with your data

Database
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Documents
CSV
Images
DNA
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Others
alloy-dbamazon-athenaamazon-rdsavro-iconazure-database-mysqlazure-database-postgresqlazure-sql-databaseazure-sql-managed-instanceazure-synapse-analyticsbigqueryclickhousecloud-sqlcockroach-dbcsv-icondatabricksdelta-lake2duckdbibm-db2iceberg-logojson-iconmaria-db2mysql2oracleparquet-iconpercona-server2postgresqlprestoquestdbredshiftsap-hana2single-storesnowflakesparksql-serverteradatatimescaletrinoyugabyte-dballoy-dbamazon-athenaamazon-rdsavro-iconazure-database-mysqlazure-database-postgresqlazure-sql-databaseazure-sql-managed-instanceazure-synapse-analyticsbigqueryclickhousecloud-sqlcockroach-dbcsv-icondatabricksdelta-lake2duckdbibm-db2iceberg-logojson-iconmaria-db2mysql2oracleparquet-iconpercona-server2postgresqlprestoquestdbredshiftsap-hana2single-storesnowflakesparksql-serverteradatatimescaletrinoyugabyte-db

1. Deploy an Agent

An agent is an intermediary between the platform and your data, deployed on your premises, and is the only one with access to your sources. No database credentials are stored on the platform. It is responsible for executing quality analyses.

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2. Reference a Source

Linking a source to the platform allows you to associate metrics or other quality elements stored in the platform. Your source data is NEVER copied or duplicated.

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3. Analyze Quality

What is data quality?

Data quality is the match between your data and your business, technical, or regulatory criteria. It is defined by rules that can be grouped into categories.
To what extent is your dataset complete? A patient record? Gaps in production data? A denormalized dataset showing inconsistencies.
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Completeness
Do the data correspond to the defined range and format? For example, a date of birth must be a date and not a string. Postal codes must be valid. A molecule must be encoded according to a reference system. Validity is an essential dimension for the notion of interoperability.
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Validity
Are the data a faithful representation of the element they describe? Is the location of a tumor sufficiently precise? Are the administered doses encoded to two decimal places, in milliliters?
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Accuracy
Is your data up to date? When was the last data update? Last news date, delivery date of an overdue package?
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Freshness
Is your data synchronized within your organization? For example, a molecule must have the same name in all your systems.
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Consistency
Are there duplicates in your data?
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Uniqueness
Is your data reasonable? For example, a person should not be 200 years old. The temperature should not reach -300 degrees Celsius.
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Reasonableness

Save time with Pack

What is a Qalita Pack?

A packaged program including: quality metrics calculation, recommendations on anomalies, and visualizations for observability.

Metrics

Metrics are quantitative indicators that report on the quality of the data.
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Recommendations

Recommendations are suggestions for changes to be made to the data to improve their quality.
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Visualizations

In addition to metrics and recommendations, the pack includes a default configuration for visualizing its results.
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Data Maps

Data maps contain all occurrences of anomalies in your data. They are used for data curation with the help of QALITA Studio.
Features
Coming soon

Reuse, Share, Collaborate

Packs are created by the community or custom-made by your teams

Pack 1
Pack 2
Pack 3
Pack 4
Pack 5
Pack 6
Pack 7
Pack 8
Pack 9

+ Yours

QALITA Services

Your data team

Pack Registry

Pack Sharing

4. Monitor your assets

Maintain the trust of your data users

Prevent errors before they have consequences

Run quality analyses on data regularly and track the evolution of your quality scores

Analysis Routines

Dashboard

Analyze and share your results

Create and share reports

For a better understanding of your data, create and share detailed analysis reports with your teams.

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5. Take action and improve your data!

Create tickets

Identify your anomalies and translate them into tasks

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Create projects

Group your sources by project to have an overview of the work to be done.

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Track the progress of your actions on data quality

Centralize your tickets and tasks in your familiar tools

Gitlab

Integrate GitLab to track and manage data quality issues.

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Jira
Coming soon

Connect Jira to track and manage data quality issues, ensuring quick resolution and maintaining high standards.

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Better collaboration with your team using your preferred communication tools

Teams
Coming soon

Incorporate Teams to foster collaboration on data quality projects, ensuring clear communication and aligned goals.

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Slack
Coming soon

Integrate Slack to facilitate real-time discussions on data quality, fostering a culture of continuous improvement.

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Clean and Improve your data at lightning speed

Studio

Bientôt
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Clean and Improve your data at lightning speed.

With Studio, take it to the next level by creating cleaned and corrected versions of your datasets.

Complete your Strategy

Need occasional support, training, development

We are here for you!

Train your teams

Training and awareness services for the exploitation of health data.
Team training

Pack Development

Development of specific quality analysis modules for QALITA Platform, tailored to your types and business needs.
Pack development

Data Audit

Research projects? Digital transformation?

We can support you on the data quality aspect.

Features

1. Understand your challenges

We propose to organize a meeting to understand your needs.

Your Benefit

Simple and Clear Method

A simple and clear methodology to monitor and improve your data assets

Targeted and Motivating

Involve your teams and data users, the right people at the right time

Reliable Data = Reliable Decisions

Make the right decisions with qualified data

Save Time, Get to the Point!

Optimize your time and resources by automating your quality assurance as much as possible

A price unbeatable!

Start Free* then from 4.99 €**!

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* 30-day SaaS Cloud trial, non-renewable.

** SaaS Cloud version per organization, 'QALITA Platform Core' license offer per user and per month.

70% Cheaper than other offers!*

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* Based on prices from Talend / Collibra / Attacama / DQOps / Soda / IBM / SAP / Microsoft / BlackTiger for equivalent usage, features, and number of users.

Enterprise?

Request a quote

Offers available in UNIHA purchasing center for public health sectors in France. Enterprise offers include additional installation fees for 'On Premise' or 'Private Cloud' deployments.

Get started now!

They trust us

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