Data Analytics

Applying Data Science to baseline, engineer, and model data to make informed decisions

CUSTOM DATA SOLUTIONS

Forge Forward partners with clients throughout the analysis process to understand the uniqueness and complexity of their data, develop solutions that address their specific needs and challenges, and discuss how findings can be used to make informed decisions.

ENTERPRISE RESOURCE AND WORKFORCE PLANNING

We specialize in the development of algorithms and decision tools for enterprise planning, focusing on resource and manpower utilization, demand projection, and multi-factor scenario analysis.

CUSTOM DATA SOLUTIONS

At the onset of each effort, we conduct preliminary baseline of existing data to ensure it is adequate and can address the  inquiries.  We discuss gaps and challenges with the client and recommend strategies to mitigate.  Throughout this process, we examine the following attributes:
  • Who owns the data and how accessible is it?
  • How well is the data maintained and updated?
  • How complete is the data and is the level of detail adequate to address the inquiry?
  • Can the data be integrated with other sources to address broader questions?

END-TO-END DATA ANALYTICS

Forge Forward has the capabilities and skill sets to support the full spectrum of the data pipeline from data engineering to model development and Business Intelligence (BI) solutions.  Our expertise is the application of machine learning to support operational decisions and support multiple languages and software including Python, R, MySQL, Tableau, and other BI Platforms.

ASSESSMENT AND STUDIES

We provide expertise in the development, execution, and analysis of key performance indicators (KPIs), organizational assessment, and value stream mapping.

Success Story

Applying machine learning to enable Dept of Navy Test & Evaluation (T&E) RANGE operators to leverage cleansed and consistent data to make informed decisions on the cost effective use of manpower, assets and equipment in complex and volatile operating environments.


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