Monday, April 5, 2021

Data Processing Unified - Omniscope

 There are lot of tools coming out in the market related to data management, analytics and visualization. It is also becoming harder for data practitioners to choose tools, so it is natural that we also expect to see consolidation of tools that handle data sourcing, management, transformation and visualization. One such tool that i got to see demonstrated is Omniscope. The link to get to see what the tool offer, please see here: The tools goal is to unify the following components of a data journey

  1. Data Sourcing
  2. Data Blending - This is the step where you can combine data from different data sources. This will be very handy when say you are trying to combine customer information that is on a system different from Borrower/Loan information. This is an example, you will have scenarios where you have to perform this step.
  3. Data Transformation - This is the step where you take the source or the blended data and add additional attributes/calculations based on your end business goal.
  4. Data Lineage - The functionality that provides the journey of a data element as it flows from source to different target systems. This helps in also understanding how a data element is used in different calculations/reports.
  5. Data Visualization - The layer that displays the data in different forms (like graphs, charts, plots)

The tool helps data curators/scientists/analyst to maintain the pipeline of data coming through and how it is to be consumed by users. There are plenty of visualizations available in this tool and the color schemes used are very good. This tool also attempts to maintain lineage of the data that is used for the report, thereby providing an opportunity for end to end governance. In addition to all of these, there are features related to scheduling and automation. Please refer to the link above for more in depth look at the features of this tool.

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