Capabilities

Capabilities

STEMBoard delivers results to mission owners through a number of capabilities:

Mission WorkFlow Development and Support

DEVELOPMENT AND SUPPORT

We develop workflows that solve discrete problems while growing enterprise data science capabilities.

The STEMBoard team is focused on enhancing strategic capabilities that solve real-world problems. We work closely with clients to identify and define their mission needs and processes. By efficiently inserting data science tools where necessary, our analysts quickly deliver initial results while iteratively collecting feedback to mature the end-product.

Mission WorkFlow Development and Support

PROCESSING AND AVAILABILITY

We directly address fragmented and frequently undiscoverable information within the Department of Defense and adjust information flows to individual applications.

Data sharing within and between organizations remains a core challenge in the Federal sector. Information is often fragmented, stove-piped and frequently undiscoverable; and today’s data management policies and technical limitations can hinder sharing and tether data workflows to individual applications.

The functional experts at STEMBoard support the full spectrum of activities to identify, obtain and condition datasets to ensure data availability. Our team leverages their experience with structured and unstructured data handling activities to clean, tag and ingest mission-relevant information into environments such as GovCloud and Amazon Commercial Cloud Services (C2S).

Mission WorkFlow Development and Support

SERVICES

We optimize technology resources to improve critical business processes while leveraging industry best practices.

Developing relevant and scalable analytics is necessary to leverage data to provide actionable insights. At STEMBoard, we drive value to missions by supporting the development, deployment, and operations of a variety of multi-INT, advanced data analytics leveraging Department of Defense Intelligence Information System (DoDIIS) and Intelligence Community Information Technology Enterprise (IC ITE) development environments.

Our methods grant greater insight into existing data warehouses by correlating disparate sources and applying statistical and mathematical analysis techniques, including machine learning where appropriate.

Mission WorkFlow Development and Support

ANALYTICS AND MODERNIZATION

We create mission relevant, scalable analytics that align strategically with the needs of Federal agency CIO’s.

Developing relevant and scalable analytics is necessary to leverage data to provide actionable insights. At STEMBoard, we drive value to missions by supporting the development, deployment, and operations of a variety of multi-INT, advanced data analytics leveraging Department of Defense Intelligence Information System (DoDIIS) and Intelligence Community Information Technology Enterprise (IC ITE) development environments.

Our methods grant greater insight into existing data warehouses by correlating disparate sources and applying statistical and mathematical analysis techniques, including machine learning where appropriate.

STEMBoard delivers results to mission owners through a number of capabilities:

Mission Workflow

Mission WorkFlow Development and Support

DEVELOPMENT AND SUPPORT

We develop workflows that solve discrete problems while growing enterprise data science capabilities.

The STEMBoard team is focused on enhancing strategic capabilities that solve real-world problems. We work closely with clients to identify and define their mission needs and processes. By efficiently inserting data science tools where necessary, our analysts quickly deliver initial results while iteratively collecting feedback to mature the end-product.

Big Data

Mission WorkFlow Development and Support

PROCESSING AND AVAILABILITY

We directly address fragmented and frequently undiscoverable information within the Department of Defense and adjust information flows to individual applications.

Data sharing within and between organizations remains a core challenge in the Federal sector. Information is often fragmented, stove-piped and frequently undiscoverable; and today’s data management policies and technical limitations can hinder sharing and tether data workflows to individual applications.

The functional experts at STEMBoard support the full spectrum of activities to identify, obtain and condition datasets to ensure data availability. Our team leverages their experience with structured and unstructured data handling activities to clean, tag and ingest mission-relevant information into environments such as GovCloud and Amazon Commercial Cloud Services (C2S).

IT

Mission WorkFlow Development and Support

SERVICES

We optimize technology resources to improve critical business processes while leveraging industry best practices.

Developing relevant and scalable analytics is necessary to leverage data to provide actionable insights. At STEMBoard, we drive value to missions by supporting the development, deployment, and operations of a variety of multi-INT, advanced data analytics leveraging Department of Defense Intelligence Information System (DoDIIS) and Intelligence Community Information Technology Enterprise (IC ITE) development environments.

Our methods grant greater insight into existing data warehouses by correlating disparate sources and applying statistical and mathematical analysis techniques, including machine learning where appropriate.

Data

Mission WorkFlow Development and Support

ANALYTICS AND MODERNIZATION

We create mission relevant, scalable analytics that align strategically with the needs of Federal agency CIO’s.

Developing relevant and scalable analytics is necessary to leverage data to provide actionable insights. At STEMBoard, we drive value to missions by supporting the development, deployment, and operations of a variety of multi-INT, advanced data analytics leveraging Department of Defense Intelligence Information System (DoDIIS) and Intelligence Community Information Technology Enterprise (IC ITE) development environments.

Our methods grant greater insight into existing data warehouses by correlating disparate sources and applying statistical and mathematical analysis techniques, including machine learning where appropriate.