Data lineage
Our data portal solution provides a built-in data lineage tool, helping you better understand usage through in-depth analytical reporting features while improving data quality.
Understand your [ data’s journey ]
Accessible directly from the back-office of your data portal, Huwise’s data lineage functionality provides detailed mapping of the path your data takes. It models the dataset journey from its creation to final destination, providing information on its origin and its different reuses, both internally on your data portal and externally outside your organization.
Observe dependencies between fields
Get an instant understanding of the dependencies between your portal’s data assets and uncover any errors with our field-level view. This granular analysis precisely reveals the relationships between the portal’s data assets and also provides details on any errors encountered, such as deletions or datasets removed from view. This makes it easy to spot and fix potential issues, thus improving the overall quality of the portal.
Automatically map your data’s lifecycle
Data origin and status (Valid, invalid data)
Relationship between datasets (Federation, join)
Reuse of data (Pages, datasets, maps, geographic processors)
Data modification and processing
Relationships between data assets and at field level (use, federation, join)
Errors between data assets and at field level (unpublishing, deletion)
Visualize the mesh or network generated by the use of your data
The lineage functionality is a useful step forward for managing our data portal. It allows us to track performance more easily thanks to better analysis of the links which exist between different datasets, or between datasets and pages. Our portal is growing and is administered by multiple people. This functionality is therefore essential for us to master the structure of the links between the different elements of our portal.
Manage [ the use ] of your data
Huwise’s unique data lineage functionality provides an interactive dashboard that delivers a complete view of data usage within the back office of your data portal. The dashboard automatically aggregates key information to instantly analyze and manage the dynamics of your portal.
Track [ key performance ] indicators
Understand the needs of data consumers
Measure the number of reuses and identify the data formats your audiences prefer.
Maintain your data
Track the status of relationships and identify both high-value datasets and those requiring modification or deletion.
Identify uses
Easily discover the most or least used datasets and adapt your strategy.
Interact in the Huwise ecosystem
Identify synergies with the rest of the Huwise community.
The data lineage feature significantly improves the tracking and management of our internal data portal. Intuitive and easy to use, it allows us to quickly identify changes in datasets and their repercussions, thus saving us precious time. We are very satisfied with this new feature in the platform and are already looking forward to its future developments!
Accelerate [ data democratization ]
Applying traceability to your data usage provides you with deep, unique information and acts as a valuable decision-making tool. It allows you to better manage your projects to achieve your data sharing goals.
Demonstrate the value of your data portal
Tracking data usage and data portal performance indicators within your organization or in open data ecosystems helps you demonstrate the impact and ROI of your data sharing programs and experiences.
Improve the maintenance of your data portal
Automated data flow documentation reduces workloads and increases data project productivity through real-time mapping of data transformations from source to reuse.
Enforce your data sharing strategy
Data lineage allows you to build your open data roadmap with confidence, based on insights around how your data is being used. It also enables you to take advantage of opportunities within the Huwise ecosystem through our dynamic community.
From a data publisher perspective, one of the problems experienced with open data is understanding what data users are doing with the data. Whilst Huwise facilitates the submission of reuses already, this new data lineage feature provides additional insight into the maps and charts that users have built whilst maintaining user anonymity, that we would not have known about. This adds to the value of open data.
Access your portal’s [ essential metrics ]
A reporting tool to measure the use of your portal
Analyze the usage of your portal and the profile of its users using performance monitoring tools and statistical dashboards accessible from the solution’s back office. Get a more in-depth view of your audience and their interactions with your portal.
Dashboarding
Overview of usage statistics via multi-indicator dashboards
Visualizations
Precise view of usage and user statistics by dataset with visualizations and filters
Ratings
Measurement the popularity of your datasets: API calls, reuse and downloads
API analytics
Count and map API calls by user, by dataset and by catalog
User activity
Breakdown of user activity to effectively plan maintenance or communication on the data product marketplace
Native integration with your analytics tools
Connect your own audience analysis tools to the solution, with guaranteed compliance with regulations around cookies and the protection of personal data (Google Analytics, Matomo, SmartTag & XiTi by AT Internet)
474% ROI in less than 6 months with Huwise's data product marketplace
Discover how Huwise helps business users spend half as much time searching for data, and data teams cut data preparation time in half - freeing everyone to focus on what matters: turning data into insights.
Learn morereduction in time spent searching for data
reduction in data preparation time
reduction in data duplicated work
per year saved for IT
Another question?
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Data lineage provides a detailed view of the relationships and dependencies between data assets in a data marketplace, making it possible to understand who uses the data, how, and in what context. It also helps detect potential misuse, enabling users to be guided toward more appropriate ways of consuming the data.
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Data lineage strengthens your data governance strategy by detecting invalid relationships, errors, and dependencies between data assets. It simplifies the management of your data marketplace, such as by identifying datasets with no dependencies that can be safely removed. For example, if a dataset is used in a visualization, you can decide whether to keep it or notify the user before deleting it, thereby ensuring data quality.
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The added value of Huwise’s data lineage lies in the complementarity of its formats. The first provides a detailed map of each data asset and its relationships, while the second, unique in the market, provides an overview of the state of the data marketplace, including insights such as rankings of the most widely used assets. This enables strategic, holistic management that goes beyond simply managing data quality.
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Data lineage is the ability to trace the entire journey of a dataset: from its origin and creation, through all transformations and processing steps, to its final destinations and reuse.
In a data marketplace, data lineage is crucial because it enables organizations to:
- Understand how data is used and misused to optimize its exploitation.
- Identify unused objects in other datasets and easily remove them without risking unintended impact.
- Detect errors within data objects at a granular level, down to the field level, to ensure the quality of the data marketplace.
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Huwise’s data lineage feature automatically maps four key dimensions of a data asset’s lifecycle within a data marketplace:
- The origin of data assets
- Relationships between assets (federation, joins), down to the field level within a dataset
- Data reuse (pages, datasets, maps)
- Errors, such as data being unpublished or deleted
Huwise data lineage is presented through an interactive visual map and dashboard accessible directly from the back office, without the need for manual documentation or external tools.
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