New York, 10007, NY,
United States
City of New York Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by City of New York and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 City of New York employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that City of New York has purchased the following applications: Kofax MarkView for AP Automation in 2012, Central Payroll System (In-House MainFrame App) for Payroll in 1990, IBM Maximo for Enterprise Asset Management in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems City of New York is running and its propensity to invest more and deepen its relationship with Tungsten Automation , Optima Global Solutions , Intuit 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 City of New York revenues, which have grown to $250.0 million 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 City of New York 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 |
|---|---|---|---|---|---|---|---|---|
| Tungsten Automation | Legacy | Kofax MarkView | AP Automation | ERP Financial Management | n/a | 2012 | 2012 |
In 2012 City of New York implemented Kofax MarkView as an AP Automation solution to centralize Accounts Payable imaging and workflow processing. The deployment was an on premises configuration that included MarkView application servers, dedicated database servers, and SAN attached storage, supported by the municipal network infrastructure to host imaging and archival services.
The implementation included administration, installation, and upgrade activities for the Kofax 170 MarkView imaging system, plus customization work to tailor MarkView to city AP workflows. Functional capabilities configured and operated included invoice capture and image processing, workflow routing and approval orchestration, document validation and exception handling, and indexed archival for retrieval, consistent with AP Automation platform behavior.
Operational support covered first line user support for Kofax MarkView users in Accounts Payable and system administration tasks. Engineering and operations teams troubleshot performance issues at the application layer, database layer, server infrastructure, network stack, and SAN storage layer, indicating cross‑tier diagnostics and tuning were part of steady state support.
Governance focused on application administration, scheduled upgrades, and ongoing configuration control to maintain imaging and workflow integrity. Day to day operations emphasized user support, patch and upgrade management for Kofax MarkView, and multi-layer performance monitoring across application, database, server, network, and SAN components.
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AP Automation | ERP Financial Management |
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2020 | 2020 |
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ERP Financial | ERP Financial Management |
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2013 | 2013 |
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ERP Financial | ERP Financial Management |
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2011 | 2011 |
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ERP Financial | ERP Financial Management |
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2010 | 2010 |
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ERP Financial | ERP Financial Management |
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2000 | 2001 |
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Payment Processing | ERP Financial Management |
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2013 | 2013 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| In-House Applications | Legacy | Central Payroll System (In-House MainFrame App) | Payroll | HCM | n/a | 1990 | 1990 |
In 1990, the City of New York implemented the Central Payroll System (In-House MainFrame App), a mainframe-hosted Payroll core maintained by the Financial Information Services Agency FISA. The Central Payroll System (In-House MainFrame App) operates as the citywide payroll engine for active employees and interfaces with a distinct pension payroll process for retirees, positioning the application as the primary Payroll control point within municipal pay operations.
The implementation comprises central payroll processing capabilities, inferred pension payroll interfaces and time and personnel integration workflows consistent with Payroll systems. Functional activity described in official job postings indicates ongoing mainframe maintenance tasks, routine batch processing and interface orchestration work, which supports calculated pay runs, statutory withholdings and downstream pay distribution within the mainframe environment.
Operational integration is explicit with CityTime and NYCAPS for active employee time and personnel data, and a separate pension payroll interface for retirees, all governed by FISA. Governance and operational coverage include city finance and human resources workflows, continuous maintenance staffing and a long term Payroll Management System replacement project described in public job notices, reflecting planned modernization efforts while the in-house mainframe application remains operational.
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Pension Administration | HCM |
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2015 | 2016 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Maximo | Enterprise Asset Management | ERP Services and Operations | n/a | 2019 | 2019 |
In 2019, City of New York implemented IBM Maximo in an Enterprise Asset Management deployment to manage lead paint remediation and associated operational data. The implementation centralized records originating from a Microsoft Access database of approximately 200,000 records covering lead paint contaminated apartments across the five boroughs, and it produced between 50 and 100 HUD summary reports daily.
The IBM Maximo implementation focused on work order lifecycle and vendor management, leveraging IBM Maximo for creation, quality assurance, closure, and payment preparation of lead testing work orders. Operators closed out between 50 and 100 lead testing work orders daily and performed QA on 20 to 30 work orders per day, returning erroneous submissions to vendors and uploading corrected work orders into Maximo, with an estimated project volume of approximately 130,000 work orders informing configuration of status flows and approval checkpoints.
Data ingestion and reporting combined structured records from Microsoft Access with vendor deliverables in MS-Word and MS-Excel, requiring manual analysis for errors and subsequent remediation before authoritative entry into IBM Maximo. Corrected work orders were uploaded into IBM Maximo to enable vendor payment processing, positioning IBM Maximo as the central data store for lead testing operations and summary reporting for Housing and Urban Development.
Governance and process changes included refined QA procedures to streamline processing and increase productivity, formalized vendor return workflows for erroneous work orders, and standardized upload processes into Maximo for payment readiness. Operational scope encompassed Housing and Urban Development functions across all five boroughs, vendor coordination for testing and remediation, and day to day data management and reporting executed within IBM Maximo.
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Insurance Claims Management | ERP Services and Operations |
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2018 | 2018 |
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Insurance Policy Administration | ERP Services and Operations |
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2017 | 2017 |
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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 |
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Generative AI Platforms | AI Development |
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2020 | 2020 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2016 | 2018 |
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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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2020 | 2020 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2020 | 2020 |
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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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2023 | 2023 |
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Web Content Management | Content Management |
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2013 | 2013 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Fleet Management | SCM |
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2019 | 2019 |
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Fleet Management | SCM |
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2014 | 2014 |
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Traffic Management | SCM |
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2004 | 2004 |
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Transportation Management | SCM |
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2025 | 2026 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Citizen Engagement | CRM |
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2012 | 2013 |
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CRM | CRM |
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2003 | 2003 |
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Customer Experience | CRM |
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2015 | 2015 |
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Donor and Fundraising Management | CRM |
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2011 | 2011 |
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Listing Management | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2013 | 2013 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Utilities Customer Care and Billing | CRM |
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2020 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2020 | 2020 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Critical Event Management | TRM |
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2023 | 2023 |
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Governance, Risk and Compliance | TRM |
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2012 | 2012 |
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Governance, Risk and Compliance | TRM |
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2012 | 2012 |
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Risk Management | TRM |
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2012 | 2012 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2020 | 2020 |
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Extract, Transform, and Load (ETL), Data Replication | PaaS |
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2017 | 2017 |
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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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2018 | 2018 |
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Content Delivery Network | IaaS |
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2013 | 2013 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Network Management and Monitoring | IaaS |
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2010 | 2011 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Physical Security
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Mass Notification System | Physical Security |
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2024 | 2024 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| Date | Company | Status | Vendor | Product | Category | Market |
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