Orkestra-data is a Data Platform that enables you to accelerate and industrialize the production of Data Products for your business domains, while guaranteeing knowledge, quality and governance for each of them.
solutions
In this ever-increasing flow of dataset production, identification is paramount.
Orkestra automates this process by creating a unique label for each Data Product produced.
The label is inserted within the dataset, making unique, immutable and identifiable
The label is the key to promoting the control, the quality and shearing of datasets
Each Data Product carries (via its unique label) all production and usage information (metadata). Each business user thus has access to all the knowledge linked to the Data Product. Data Product knowledge is thus guaranteed.
Each Data Product is identifiable (via the label) and traceable.
Orkestra automatically provides a Data Product line-up.
The Data Dictionary provides the essential information related to Data Products. Businesses concentrate on the operational information that concerns them.
Solutions
Ensuring the quality of your data is imperative. Orkestra offers a range of quality controls to ensure that every data product produced meets expectations.
Solutions
Orkestra enables governance rules to be applied at the level of each Data Product. In this way, each production run is managed and distribution controlled.
Rationalize management’s information system, improve business process and deploy data governance
▶︎ Production of a set of data applications meeting business needs.
▶︎ Business capabilities operated by Orkestra, in a generic way
▶︎ Qualitative and quantitative gains (productivity, automation of low-value business tasks, ease of data interpretation, reduced risk, reduced non-quality) brought by Orkestra to these business capabilities.
▶︎ Data interpretability. The data platform offers four useful supports for data interpretation :
The Data Manager module integrates all business rules and data production processes into Orkestra.
Parameterization of global attribute catalogs: process, treatment, scope, typology (data type and format).
Construction of label structure.
Definition of management rules: allocation of Cycles, choice of additional attributes (part of a label grouping, must have a validity period, must have a distribution period, etc.).
The Data Fabrik module enables you to launch and validate the production of data sets.
The user (“business”) can configure and schedule production according to the rhythm of the activity and determine the teams in charge of validating and distributing results.
Validation is simplified thanks to the accessibility of data quality reports, facilitating approval and/or certification.
Production incorporates output data labeling, facilitating communication between the various parties involved throughout the production process.
Each file flow generates a “descriptive label”. This metadata label, a sort of “barcode”, enables:
Datasets are never deleted, enabling 360° data lineage.
Labels are generated by the platform.
Restitutions can be made with the latest data label(s), or with specific labels. (Budget applications, historical reconstitutions, ….)
The Datashop portal is the best place to access and share business datasets.
Its intuitive interface makes it easy to find and download datasets.
The MSO module monitors processing to assess completeness and compliance.
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