Powerful features - Simple, visual ergonomics
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Discover / Audit
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Tale of Data scans all your structured data (files & databases) to produce a full map of it (by type, quantity and location).
Automatic detection of missing, malformed and inconsistent data
Automatic audit reports on data quality.
Identification of required corrections, without leaving the app.
Correct / Enrich
First step of the data preparation Use our suggestion engine and apply more than 80 transformations in a few clicks to assemble, convert, normalize and merge.
Enrich your data with (open source) internal and external repositories.
Use our powerful algorithms detection algorithms using fuzzy logic, N-Gram, phonetics*.
Validate / Report
Automatic detection of missing, malformed and inconsistent data
Creation in a few clicks of business rules in natural language*allowing to perform all types of controls without writing code.
On-the-fly audit reports on data quality with full operations history (reliable audit trail).
Automate corrections and monitor
Automate checks to stop reliability declining over time: automatic alerts, quality monitoring (for duplicates and other types of degradation, etc.).
Of the Business rules*. can be configured to suit your specific needs.
Schedules to industrialize processing.
Processing without data movement.
Collaborate
Shared processing.
Automatic documentation generation.
Tale of Data architecture
Tale of Data hooks into a wide range of read and write data sources (file archives, relational databases, NoSQL, analytical storage) to combine data and then prepare and deliver it to multiple businesses in easy to use formats.
Tale of Data also lets you read and write from and to any type of structured file (CSV,
Excel, JSON, XML etc.).
Connect
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Tale of Data can connect to any type of file or disparate data from any source (Enterprise, Big Data, Cloud, Excel) or location.
In SaaS
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Hosting and data backup in France
On-premise
Tale of Data hosting in your own IT environment
Big data clusters
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Apache Spark technology means Tale of Data can be run in standard (single server) environments or in clusters