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We deliver Automation, Analytics and Integration to save our customers Time, Money and Manpower.
Solving Problems At The Intersection Of Business And Technology
Definitive Logic delivers performance-based and outcome-driven solutions that directly support the strategic intent of our clients, providing Return on their Investment (ROI) with every project.
Making an Impact Across the Federal Government
Definitive Logic has 20 years experience delivering mission-impact consulting and technology solutions to the federal government and commercial clients. Our domain expertise spans Defense, Homeland Security, Emergency Management and more.
Powering Mission Outcomes at the Edge of Technology™
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Delivering Outcomes & ROI at the Intersection of Business and Technology
Financial Management
Transformation through automation, mobility and data analysis
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Data driven workforce optimization
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Data solutions to acquire, operate and manage real estate assets
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Mastering complexity with data and analytics
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Transport and delivery of assets across the US Government
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Leveraging data to create safer communities
2021 Best Place to Work in Virginia
8 Years and Counting
We are proud to announce we have been named #1 Midsize 2021 Top workplace by The Washington Post. We attribute our recognition to a friendly and rewarding culture driven by professional growth, thought-provoking projects, and a commitment to innovating for our clients.
Our Technology Partners
We continuously evaluate emerging technologies and work closely with our partners to build bigger and better solutions.
Definitive Logic deploys modernized Program Budget Enterprise System (PBES) for the Air Force
Our team is proud to announce that the Air Force built its FY23 Program Objective Memorandum (POM) and the Deputy Assistant Secretary for Budget (SAF/FMB) completed its submission to OSD using the new PBES platform.
Our Insights
New insights on emerging technology for powering outcomes
Why Use Graphs for Model Validation? Part 3 of 3. Logistic Regression.
This article is Part 3 of a series of three articles. In the previous article, I outlined an example of graphs for model validation for linear regression. In this article, we will take a closer look at a practical application for Logistic Regression. Conventions Used...
Why Use Graphs for Model Validation? Part 2 of 3. Linear Regression.
This article is Part 2 of a series of three articles. In the first article, we introduced the Cross-Industry Standard Process for Data Mining (CRISP-DM), along with the concept of graphs for model visualization. In this article, we will take a closer look at a...
Why Use Graphs for Model Validation? Part 1 of 3
Introduction With the prevalence of online courses in machine learning (ML) and the popularity of Python and R, there is no question as to the enthusiasm for ML. It’s no longer the dark magic reserved only for “quants” who lurked within the shadows of financial...
The problem with being data driven
In the federal government, the push to embrace data driven decision-making has gained serious momentum in recent years. From a people perspective, we’ve seen the establishment and hiring of Chief Data Officers across the federal government. From a policy perspective,...
Equity and the economy – 2 wings on the same bird
Lenders historically underserve disadvantaged groups like minorities and low-income individuals. I’m not claiming it’s intentional. I’m not arguing that people are actively trying to discriminate against minorities. Recent analysis1 shows it’s an accidental side...
The “New Age” Technology Strategy – Discover, Disrupt…DELIVER!
“The first step is to establish that something is possible; then probability will occur.” – Elon Musk Federal technology organizations face common challenges as their portfolio of applications matures over time. Often, existing IT only meets the business needs of...
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