Raleigh, 27601, NC,
United States
Wake County Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Wake County and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4372 Wake County employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Wake County has purchased the following applications: CGI Advantage Financial Management for ERP Financial in 2006, JusticeTrax LIMS-plus for Case Management in 2019, SAS Visual Data Mining and Machine Learning for ML and Data Science Platforms in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Wake County is running and its propensity to invest more and deepen its relationship with CGI Group , JusticeTrax , ResNexus or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Wake County revenues, which have grown to $1.56 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Wake County intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| CGI Group | Legacy | CGI Advantage Financial Management | ERP Financial | ERP Financial Management | n/a | 2006 | 2007 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| JusticeTrax | Legacy | JusticeTrax LIMS-plus | Case Management | ERP Services and Operations | n/a | 2019 | 2019 |
In 2019, Wake County deployed JusticeTrax LIMS-plus. The Wake County Bureau of Forensic Services uses the JusticeTrax LIMS-plus Portal for evidence submissions and client-facing case interactions to support forensic laboratory case management and evidence intake in North Carolina.
Deployment centers on the JusticeTrax LIMS-plus Portal module together with explicit evidence tracking and case management functionality referenced in the bureau's portal documentation. Portal pages are configured to accept external evidence submissions and to surface case records to authorized requestors, aligning Case Management capabilities with laboratory intake workflows and case lifecycle handling.
Operational coverage is focused on the Wake County Bureau of Forensic Services and on forensic laboratory business functions including evidence intake, submission handling, and case status access. Governance is documented through portal-driven intake processes and case workflows that centralize client interactions through the JusticeTrax LIMS-plus Portal, making the application the primary interface for external submissions and internal evidence tracking.
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Reservation and Booking Management | ERP Services and Operations |
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2019 | 2019 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Visual Data Mining and Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, Wake County implemented SAS Visual Data Mining and Machine Learning to construct a repeatable tax assessment model. The deployment used SAS Visual Data Mining and Machine Learning as an ML and Data Science Platforms solution to support the analytical life cycle from data to discovery to deployment.
The implementation configured end-to-end data mining and machine learning workflows, leveraging the application’s comprehensive visual interface for data preparation, feature engineering, model training, model assessment, and production scoring. SAS Visual Data Mining and Machine Learning was used to create standardized modeling templates and visual model comparison processes, enabling analysts to iterate and validate alternative algorithms within the platform.
Operational scope focused on Wake County tax assessment and property valuation business functions, with the model designed for adoption by other governments with minimal customization. The analytical workstreams were centered on assessor office workflows and county valuation operations, with the platform providing repeatable model artifacts that can be parameterized across jurisdictions.
Governance emphasized lifecycle management and repeatability, embedding standardized model development patterns, deployment pipelines, and documentation practices to support cross-jurisdiction reuse. The implementation prioritized production-ready deployment capabilities and model governance within the ML and Data Science Platforms environment to reduce customization effort for other government adopters.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2021 | 2021 |
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Enterprise Content Management | Content Management |
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2020 | 2020 |
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Web Content Management | Content Management |
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2012 | 2012 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Advertising Platform | CRM |
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2013 | 2013 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2020 | 2020 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Geographic Information System | PLM and Engineering |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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