Data Analysis and Visualization Solutions

Overview:

Understanding and analyzing data is critical in conducting government business effectively. SCT is well versed in data science and analysis and understands the criticality of applying systematic rigor in business decisions. The desired end state of data science is to enable senior leaders to develop proactive organizational strategies and understand the impact of policy and business decisions. SCT has successfully supported clients in operationalizing data analysis into strategic and tactical business decisions.

Focus Areas:

Data Mining and Visualization:

Data Mining and Visualization:

By analyzing first order correlations, trends, and relationships in the data, SCT gets to the heart of what matters. SCT mines data and looks at every angle to include geography, linear regression, and organizational benchmarking.

Data-Driven Decision Making:

Data-Driven Decision Making:

SCT collects comprehensive data to conduct detailed analyses. We pulled together data from both internal and external sources to ensure our clients have the most comprehensive picture to make decisions and show impacts to that strategic direction.

Executive Dashboards:

Executive Dashboards:

SCT utilizes cutting-edge tools and techniques to communicate metrics that are meaningful and relevant to the decision maker. We develop dashboards, using tools such as Tableau, that can be deployed to the field providing the ability for users to visualize and drill down into specific locations or departments.

Workforce Modeling and Planning:

Workforce Modeling and Planning:

It is important to integrate results of the data analysis effort into strategic and tactical decision making and operationalize data science into every day planning. SCT is experienced in creating workforce models that forecast future staffing requirements and identify gaps.

Benefits:

  • Decisions are based on quantitative metrics and are defensible
  • Information is readily and consistently available to senior leaders and managers
  • Increased ability for workforce forecasting and anticipating workforce gaps
  • New insights into business effectiveness and efficiency through data mining