Jersey City, 7302, NJ,
United States
IPC Systems Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by IPC Systems and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1400 IPC Systems employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that IPC Systems has purchased the following applications: Oracle Cloud ERP for ERP Financial in 2017, Amazon Comprehend for Natural Language Processing in 2020, Microsoft Power BI for Analytics and BI in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems IPC Systems is running and its propensity to invest more and deepen its relationship with Oracle , Amazon Web Services (AWS) , Microsoft 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 IPC Systems revenues, which have grown to $260.0 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 IPC Systems 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 |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud ERP | ERP Financial | ERP Financial Management | n/a | 2017 | 2018 |
In 2017, IPC Systems implemented Oracle Cloud ERP as its ERP Financial platform. IPC Systems is a Jersey City based provider of voice communication systems serving financial firms with operations across the Americas, EMEA and Asia-Pacific regions.
The Oracle Cloud ERP implementation centralized core financial workflows including general ledger, accounts payable and accounts receivable, configured to support billing and revenue recognition patterns typical for professional services firms. Implementation activities included development of stored procedures and database-oriented message flows to interact with backend databases and preserve transactional integrity between finance records and operational systems.
Integration architecture was anchored by an integration layer built on WebSphere Message Broker and IBM Integration Bus IIB v9, where engineering created SOAP and REST based services to mediate between Oracle Cloud ERP and upstream systems. Detailed message flow diagrams, system topologies and technical design artifacts were used to orchestrate interactions with SalesForce, MDM, Billing, Patient and Medical systems, along with reports and database systems, and to coordinate synchronous and asynchronous API patterns across invoicing and reporting endpoints.
Governance and rollout practices emphasized formal documentation, code review, test cases and change control for IIB flows and API interfaces. Process controls targeted interface testing, coding standards and test case coverage to align Web services and message broker workflows with Finance, Billing and IT operational responsibilities.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon Comprehend | Natural Language Processing | AI-Powered Application | n/a | 2020 | 2020 |
In 2020, IPC Systems implemented Amazon Comprehend to power a sentiment analysis-backed client survey, embedding Natural Language Processing capabilities directly into its customer portal. IPC Systems Amazon Comprehend Natural Language Processing implementation was positioned to capture and analyze free-text survey responses from clients and surface sentiment signals within client-facing dashboards.
The technical implementation centered on Amazon Comprehend for sentiment analysis and text analytics, with a data pipeline that used Amazon S3 for raw and staged storage, AWS Glue for ETL and schema transformation, Amazon Athena for ad hoc SQL querying of processed text, and Amazon QuickSight for visualization. Functional modules included sentiment scoring, text classification and key-phrase extraction workflows, orchestration of ETL jobs, and dashboarding for user-facing insight delivery.
Integrations were explicitly implemented with Amazon S3, AWS Glue, Amazon Athena, and Amazon QuickSight, and the solution was deployed to publish visualizations on IPCs customer portal for clients to review survey results. The NLP pipeline operated alongside operational tooling used by the network and support organization, including Netcool monitoring and the incident ticketing workflows that service financial firms and traders internationally, enabling analysts and Tier One support to reference sentiment insights during client interactions.
Governance and adoption included embedding the insight feeds into customer-facing dashboards and leveraging internal training channels to support uptake, while operational scope covered client-facing teams and internal users responsible for support and network incident lifecycle management. The configuration emphasized reusable ETL jobs, queryable analytics artifacts, and dashboard governance to maintain consistent sentiment reporting across IPC Systems.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2016 | 2018 |
In 2016, IPC Systems implemented Microsoft Power BI to support Analytics and BI for enterprise reporting and statistical analysis. The initial engagement focused on building data models and visualization layers to enable periodic reports across multiple divisions and time frames.
Development work used the Microsoft Power BI stack including Power Pivot, Power View and Power Query to create models, reports and dashboards, and reports were published to the Power BI preview portal. IPC Systems prepared dashboards to enable multi-visual exploration and applied statistical analysis workflows using Power Pivot, Power View and Microsoft Power BI.
The implementation integrated SSAS Tabular via the Analysis connector to surface tabular models into Microsoft Power BI, enabling analyst-facing model authoring and report consumption from centralized tabular sources. Functional capabilities implemented included interactive dashboards, multi-visual exploration, model reuse and scheduled periodic reporting based on division level data.
Operational coverage emphasized cross-division reporting and portal-based distribution of reports, with configuration efforts centered on reusable tabular models and report templates to maintain consistent visualization and exploration patterns. Governance practices aligned to model reuse and portal publishing supported ongoing production of periodic reports from the configured Microsoft Power BI artifacts.
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Analytics and BI | Analytics and BI |
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2020 | 2020 |
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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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2021 | 2021 |
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Audio Video and Web Conferencing | Collaboration |
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2021 | 2021 |
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Collaboration | Collaboration |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Account Based Marketing | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Extract, Transform, and Load (ETL) | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2021 | 2021 |
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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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2002 | 2002 |
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Cloud Storage | IaaS |
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2020 | 2020 |
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Database Management | IaaS |
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2020 | 2020 |
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Network Management and Monitoring | IaaS |
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2020 | 2020 |
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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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2021 | 2021 |
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