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Applies to:Image RemovedKyvos Enterprise  Image RemovedKyvos Cloud (Managed Services on AWS)  Image RemovedKyvos Azure Marketplace

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Applies to: (tick) Kyvos Enterprise  (tick) Kyvos Cloud (SaaS on AWS) (tick) Kyvos AWS Marketplace

(tick) Kyvos Azure Marketplace (tick) Kyvos GCP Marketplace (tick) Kyvos Single Node Installation (Kyvos SNI)

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The following figure shows a high-level workflow of everyday user tasks and how data flows through Kyvos. 

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Kyvos user roles and workflows

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A person may have more than one of these roles. 

Administrator

 Designer

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  • Uses formulas, filters, and other transformation tools to

    do precalculations

    do precalculations on that data–to speed up subsequent analysis and highlight the important data

  • Optionally, creates relationships within the data and between different data sources. For example, defining a relationship between a field in one file with an associated field in another file

  • Designs and builds semantic models for multidimensional analysis

Business User

  • Creates workbooks and worksheets

  • Creates

    interactive dashboards

    Dashboards, charts, filters data

  • Slices and dices into the data to develop insights

  • Exports

    chart

    Charts data to share with others

  • Uses Kyvos data with external analysis tools

Why create transformation and semantic models

Why do I need to create transformation and semantic models?

Big data often comes from a variety of sources, and you need to organize it in some way so you can work with it effectively.

Semantic models allow you to quickly and efficiently work with big data. Datasets enable you to transform the data before you use it. For example, you can group and filter data, pre-calculate aggregations of data, and hide data that is part of the source file but that you are not going to use during data analysis. Create relationships between data from different sources so that you can use them together for analysis. You can even specify how data is formatted, such as dates and currency.

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