Communicate the Results

The final stage of analyzing justice system data involves preparing the results in ways that stakeholders can easily consume, respond to, and act on. Projects may include the preparation of one or more written reports, presentations/town halls, and dashboards. Regardless of the format, we rely heavily on data visualization and contextual narratives to share results.

Data visualizations are graphical representations of information and data such as charts, graphs, and maps. Visualizations can more easily and simply identify trends, outliers, and patterns in data. Properly constructed data visualizations make the data more accessible, understandable, and usable to a variety of audiences. Our team has extensive knowledge and experience using a variety of visualization tools and libraries including Tableau, Microsoft Power BI, Python libraries (NumPy, Pandas, Plotly, Seaborn, SciPy), R libraries (ggplot2), and D3.js. 

In addition to communicating and visualizing the data analysis results, we leverage the measures generated from the data analysis process to feed internal and external (public facing) strategic, operational, and analytical dashboards. These dashboards illuminate actionable insights and empower communities, justice system actors, policymakers, and administrators to make strategic, data driven decisions. 

Define Project Objectives
Define Project Objectives

It is critical to understand the context of a project from the outset. We work with our clients to ascertain the questions that must be answered, identify the decisions that need to be informed, determine the reasons the insights are needed, and define the deliverables that are expected.

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Determine Project Feasibility
Determine Project Feasibility

A project might be highly desirable, but it may not always be feasible. This stage of the project is focused on exploring whether the data needed to complete the project are collected, accessible, and usable. 

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Transform the Data
Transform the Data

Our Data Analytics team possesses vast knowledge and expertise in transforming raw justice system data. We extract, cleanse, conduct quality assurance checks, and validate each data source.

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Conduct Statistical Analysis
Conduct Statistical Analysis

This stage begins with exploratory data analysis to discover patterns, identify anomalies, and test assumptions. Exploratory data analysis relies heavily on statistical methods and graphical representations of the data.

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Communicate the Results
Communicate the Results

The final stage of analyzing justice system data involves preparing the results in ways that stakeholders can easily consume, respond to, and act on.

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