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Numinary Analytics

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Numinary Analytics company description

An end-to-end solution for Business and Operations measurement and analysis. Numinary is a reflection of lessons learned developing world-class systems and commercial software solutions for a number of industries. Our roots are in Statistical Process Control, Manufacturing Process Analysis and Enterprise Systems Management, to name a few. We currently do Business and Operational Analytics. Numinary is an end-to-end solution. It centrally collects data produced by business processes. It correlates and harmonizes activity across disparate data sources. It manages the data to ensure accuracy and that the business is looking at a single version of the truth. It stores and retains the data in analytical models that are optimized for Business and Operational reporting and analytics. It measures activity related to people, places and things. Numinary is deployed to targeted Use Cases and User communities. It has a rich, dynamic reporting layer. It also delivers the Who, What, When, Where, How Much, How Well, Was it Good, Bad or Indifferent and to what degree information required to perform Descriptive and Diagnostic Analytics. Pure End User Self Service allows business users to search, target, select, filter, drill and navigate data, as well as create, modify and share tabular displays, Visualizations, Dashboards and Scorecards. Without requiring the headcount and cost burden of DBAs, Cube Ninjas or developers. Predictive, Machine Learning and AI are seamlessly integrated as required by Use Case. We have extensive experience and a track record of success applying the technology to Call Center, Customer Interaction, Customer Care, Customer Experience, Sales, Support, Planning and Help Desk processes. We have customers of all size, scale and complexity. We specialize in diverse, dispersed and chaotic data footprints. We are ideal for SMB and mid-tier companies who don't have large IT budgets for DBAs, developers, Data Scientists or a taste for End User license fees.

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