Predictive Analytics Group

www.predictiveanalyticsgroup.net

Predictive Analytics Group (PAG) works with companies that struggle with consolidating data from multiple legacy systems; creating in-house dashboards; controlling access to specific reports across the enterprise; building next-generation marketing models; and developing in-house advanced analytics experience. Depending on the complexity of the organization, bridging the gap between analysis and making a strategic or tactical decision can be accomplished through dedicated internal resources, an external vendor, or a decision-making platform. Through our GOBLIN product, PAG can offer you a customizable enterprise data platform backed by senior analytics people with specific subject matter experience that costs a fraction of the price of our competitors. We help our partners collect, organize, and analyze data from different sources and manage inventory, project sales, and more from various relational databases over different time frames. We then gather and present inventories of information assets (including legacy and relational data sources, cubes, data warehouses, and data marts); comparative sales figures between one period and the next; and project revenue figures based on product sales assumptions. Partnering with PAG can help you identify challenges that need to be resolved; research the information you need to drive the decision; evaluate alternative options, internal and external factors that may affect those options; and review results to help you make future decisions. At PAG, we have proven experience with optimizing profits and returns, enhancing credit strategies, improving fraud efforts, mitigating risk through recovery and collection activities, and successfully passing regulatory & compliance audits with no material weaknesses. Our website can be viewed at www.predictiveanalyticsgroup.net. We can be reached at: info@predictiveanalyticsgroup.net or (844) SEEK-PAG.

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Predictive Analytics Group (PAG) works with companies that struggle with consolidating data from multiple legacy systems; creating in-house dashboards; controlling access to specific reports across the enterprise; building next-generation marketing models; and developing in-house advanced analytics experience. Depending on the complexity of the organization, bridging the gap between analysis and making a strategic or tactical decision can be accomplished through dedicated internal resources, an external vendor, or a decision-making platform. Through our GOBLIN product, PAG can offer you a customizable enterprise data platform backed by senior analytics people with specific subject matter experience that costs a fraction of the price of our competitors. We help our partners collect, organize, and analyze data from different sources and manage inventory, project sales, and more from various relational databases over different time frames. We then gather and present inventories of information assets (including legacy and relational data sources, cubes, data warehouses, and data marts); comparative sales figures between one period and the next; and project revenue figures based on product sales assumptions. Partnering with PAG can help you identify challenges that need to be resolved; research the information you need to drive the decision; evaluate alternative options, internal and external factors that may affect those options; and review results to help you make future decisions. At PAG, we have proven experience with optimizing profits and returns, enhancing credit strategies, improving fraud efforts, mitigating risk through recovery and collection activities, and successfully passing regulatory & compliance audits with no material weaknesses. Our website can be viewed at www.predictiveanalyticsgroup.net. We can be reached at: info@predictiveanalyticsgroup.net or (844) SEEK-PAG.

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Country

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State

Delaware

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City (Headquarters)

Newark

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Employees

11-50

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Estimated Revenue

$1 to $1,000,000

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Social

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Potential Decision Makers

  • Partner / Chief Risk Officer

    Email ****** @****.com
    Phone (***) ****-****
  • Co - Founder / Data and Analytics Executive

    Email ****** @****.com
    Phone (***) ****-****
  • Managing Partner , Us Operations

    Email ****** @****.com
    Phone (***) ****-****
  • Chief Executive Officer

    Email ****** @****.com
    Phone (***) ****-****

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