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Data Integration

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Connectors and ETL

Connect, Extract, Transform and Load

  • Transforming an Input to set of Outputs
    Transforming an Input to set of Outputs
  • Run, Debug, Inspect and View the Operators and Data flow
    Run, Debug, Inspect and View the Operators and Data flow

Connect to Data, Model and Run ETL

Connect to all sorts of data sources; Database (i.e. Sql, Oracle, MsAccess, Postgres, etc.) and even Custom databases and NoSql. Do so on the cloud or premises. Also, you can connect locally and remotely to any files; including Excel, XML, JSON, Text, etc. Also include data from services (i.e. REST API or SOAP endpoints or even websites).

Extract data from one or multiple data sources, then Transform them using the Drag-and-Drop visual tool or our reach data operators, and then Load the result into any medium (i.e. Database, Excel, or other files).

Run, Debug and View

Run the model with either a sample or the real Data. Check the results of any operator at runtime, and view the result visually for for either inputs or outputs of your model.

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Data Virtualization

Build a Single View of Your Data

Pull Your Data Together

Data Virtualization allows you to pull data from disparate data sources, then run it through the model that creates outputs based on the input of data sources, and finally Expose it to the Data Consumers.

Our Data Virtualization capability allows the linking of data from multiple data sources, the matching and finding of relationships between there using exact match or a fuzzy logic match with confidence score, and exposes the result as a REST API end point to the data consumers.

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Standardize Data Exchange

Contextually Validate Data using Rules and Constraints

  • Fact Concept to define Rules and Constraints
    Fact Concept to define Rules and Constraints

Dynamic Data Validation is Crucial

With data located all over the place, and with many different processes within the organization needing some part of it, Dynamic Data Validation and a way of establishing Data Standard Exchange based on scenarios is vital.

Fact Concept is an advanced approach allows defining a data structure based on individual scenario and business process needing the data. It allows defining different view points and abstraction of data structure, constraints and rules for different cases rather than a fixed structure and format of data for all. One size, does not fit all!

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It’s Not All About Dashboard!

All Levels of Analytics

By simply utilizing the Data Integration capabilities you can achieve Descriptive and Diagnostics analytics. Also, FlexRule provides a Predictive Analytics module that allows you to build Predictive models visually with just Drag-and-Drop.

With the combination of the Predictive Analytics module and our Business Rules and Decisions Management capability you can create a Prescriptive model that provides recommendations on the upcoming predicted situations.

All of that in conjunction with Process Automation, allows a full cycle of automation and creates a reactive cycle that takes actions and involves humans at the right time when necessary, rather than the information just sitting at a dashboard.

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Data Integration: Connectors, ETL, Virtualization, Dynamic Validation and Analytics.

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