Overcome Digital Transformation Challenges to Scale IoT

Data Quality.

Reduce the time & resources needed to deliver critical data cleansing and preparation to make OT datasets suitable for downstream consumption.

Improve Data Quality in Industrial Environments to drive critical operations decision making that can give you a competitive advantage.

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Detect and Correct OT  Data Stream Quality

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Lumada Industrial DataOps Portfolio Capabilities

Data Integration and Analytics
Launch Video 2:33 min
Data Integration and Analytics
Ingest, blend, cleanse and prepare ERP, MES, weather, and business application data. Orchestrate data flows anywhere. Pentaho technology delivers the solution.
Data Catalog
Data catalog speeds data discovery for self-service analytics, compliance and data rationalization across your IT and OT data stores and Data Lakes.

“To extract hundreds of millions of data flows and transform them, you have to do a lot of work. Pentaho makes it easier.”

Dan Hopkinson

Head of Network and EMI Services ElectraLink

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What is Data Integration for analytics?

It is the process of combining data from different applications, in different data formats, from multiple locations, to enable users and systems to more easily identify correlations and gain a fuller view of business or operational performance. 

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What is the purpose of data integration for analytics?

Allows enterprises to combine data from different applications, in different formats, from different locations to enable analysts and data scientists to more easily identify correlations and insights to gain a better view of operational performance.

What is a Data Integration platform?

Is software that is primarily used and governed by IT professionals. It allows data from different applications, in different formats, and multiple locations to be collected, sorted, and transformed so that it can be applied to various outcomes. 

What is a data flow diagram?

A data flow diagram (DFD) is a way of representing how data flows through a process or system. It includes data inputs and outputs, data stores, and the various subprocesses the data moves through.

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