Indicator Analytics

Automated and Scalable

Indicator Analytics is an "Indicator" solution that is different than modern and traditional BI tool designs. It holds a virtually unlimited number of indictors, allowing business people to use data-assisted tools and make people-driven prediction adjustments to ensure accuracy for past, present and future trends, comparisons and scoring.

Future analytics depend on accurate projections or predictions. This solution puts data science algorithms (methods) in a large audience or user system. Business users can then select and adjust different system prediction methods (data scientist suite), see the result and change the outlook.

  1. Response times are very quick (device-like) with full pages of data ("highly interactive")
  2. Creates a Trend ID for an attribute and indicator pair (both are needed for a "Trend")
  3. Adds automation for system predictions or projections using R, Python and SQL computations and algorithms (includes machine learning)
  4. Tune allows users to analyze and update system predictions (puts a bright light on the future and usable techniques)
  5. Synthesizes incoming data to remove data chatter (vector approach) by using predicted values for recent unpublished or unavailable periods
  6. Creates a Compare ID for trend comparisons or combinations - creates big data in the process (computer thinking)
  7. Scores provides period rankings with quartiles and percentiles

Examples ⇣







World Development

Indicator Analytics

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Oil & Gas

Indicator Analytics

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Crime

Indicator Analytics

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