Regional Water Authority Technographics
Regional Water Authority Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Regional Water Authority and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 280 Regional Water Authority employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Regional Water Authority has purchased the following applications: SAP ERP ECC 6.0 for ERP Financial in 2016, HxGN EAM (Ex. Infor EAM) for Enterprise Asset Management in 2017, Microsoft 365 Copilot for Generative AI Platforms in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Regional Water Authority is running and its propensity to invest more and deepen its relationship with SAP , Microsoft , Hexagon 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 Regional Water Authority revenues, which have grown to $161.0 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 Regional Water Authority 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.
Regional Water Authority Tech Stack and Enterprise Applications
Regional Water Authority ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP ERP ECC 6.0 | ERP Financial | ERP | n/a | 2016 | 2016 |
In 2016, South Central Connecticut Regional Water Authority implemented SAP ERP ECC 6.0 to support ERP Financial processes and to integrate an Advanced Metering Infrastructure program. The implementation ran April to July 2016 out of New Haven Connecticut and centered on connecting smart meters to utility billing and device management workflows while replacing conventional meters with smart meter technology.
The technical scope included SAP IS-U CR&B and Device Management aligned with AMI functionality, with blueprinting and fit gap analysis of 29 functional requirements. The team produced Technical Specification, Mapping, and Interface Unit Testing documentation, and implemented configuration and mapping artifacts to enable meter data flows and master data synchronization between systems.
Integration architecture used SAP PI 7.11 as middleware and IBM Cloud services to orchestrate interfaces between SAP ERP ECC 6.0 and external providers, specifically MeterSense as a non SAP certified MDM, Equinox, and Sensus for smart meter deployment. Development work included complex meter reading download and upload interfaces to MeterSense using proxy communication, conversion to ITON MVRS format, XSLT mapping to transform deep nested structures to flat files, 10 master data sync interfaces using cross reference for Meter and Device IDs, and two AMI service order interfaces to Clevest and MAM Trimble for work management and meter maintenance.
Project governance and delivery responsibilities covered blueprinting, interface design, unit testing, end to end integration testing, performance tuning, and troubleshooting of interfaces. Operational impact was concentrated on utility billing, device management, work management, and meter maintenance workflows, with SAP ERP ECC 6.0 functioning as the ERP Financial backbone for integrated AMI operations.
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ERP Financial | ERP |
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2025 | 2025 |
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Regional Water Authority ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Hexagon | Legacy | HxGN EAM (Ex. Infor EAM) | Enterprise Asset Management | ERP Services and Operations | n/a | 2017 | 2017 |
In 2017, Regional Water Authority implemented HxGN EAM (Ex. Infor EAM) as its Enterprise Asset Management platform for its South Central Connecticut Regional Water Authority operations in New Haven, Connecticut. The implementation established a centralized asset register and work management backbone to support water operations and maintenance, using HxGN EAM as the primary Enterprise Asset Management application for asset lifecycle and maintenance orchestration.
Configuration and functional focus centered on planning and scheduling capabilities, work order management, and CMMS operational training, HxGN EAM (Ex. Infor EAM) was configured to support preventive maintenance workflows and an asset hierarchy suited to utility asset classes. Training efforts documented in 2019 and ongoing emphasized Planning and Scheduling Philosophy and hands on instruction for staff on the existing CMMS, Infor EAM version 11.5, aligning user practices with system workflows and role based work planning.
Data consolidation and migration planning were developed to bring records from home grown systems into HxGN EAM, with meetings to scope migration of asset master data, work history, maintenance schedules, and parts records into the EAM repository. These activities included mapping legacy data structures to the HxGN EAM schema and defining staged cutover sequencing to preserve work continuity during data import.
Governance and process changes were driven by training and advisory support provided by J.C. Consulting, Owner and CEO, beginning April 2019, which focused on embedding planning and scheduling discipline into maintenance operations. Operational coverage targeted maintenance and operations departments at SCCRWA, with governance workstreams to align request intake, work planning, and scheduling practices to the HxGN EAM configuration.
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Regional Water Authority AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 Copilot | Generative AI Platforms | AI Development | n/a | 2025 | 2025 |
In 2025, Regional Water Authority implemented Microsoft 365 Copilot as a core element of a unified Microsoft deployment that also includes Dynamics 365 and UMAX. Regional Water Authority implemented Microsoft 365 Copilot within a Generative AI Platforms approach to embed conversational AI, transcription, and summarization into customer support and billing workflows for a public utility serving 15 municipalities in South Central Connecticut.
The deployment was executed as a single big bang rollout that consolidated customer information, billing infrastructure, IVR, self-service portal, and contact center functions. The environment includes UMAX built on Dynamics 365 Finance, Dynamics 365 Customer Service and Contact Center, Dynamics 365 Customer Insights Journeys, Power Virtual Agents for chatbots, Power BI for reporting, and Microsoft 365 Copilot and Copilot Studio for agent assistance, call transcription, and AI-generated summaries.
Architecturally the solution established a single database and unified dashboards to support meter to cash processes and near real-time meter reads in the contact center, while field technicians use a single application for meter reading and service orders. Integrations focus on operational automation, for example automated payment processing and service order updates that drive technician notifications and reduce unnecessary truck rolls, and the implementation was delivered in partnership with Itineris for the UMAX configuration.
Governance and workflow changes centralized customer care, billing, and collections processes, enabling AI-assisted interactions in the contact center and a self-service portal for customers. Explicit outcomes reported by RWA include elimination of roughly 14,000 erroneous bills annually, customer service employees saving about 10 hours per week, a reduction in time to identify accounts for disconnection from 30 hours per week to seven hours per week, growth in electronic billing from 40,204 to 51,209 accounts, and 1,441 automated payment arrangements with 450 self-serve creations. RWA plans to expand Copilot capabilities with autonomous agents and a Copilot-based knowledge base to further support internal and external self-service.
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Regional Water Authority Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2021 | 2021 |
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Regional Water Authority 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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Web Content Management | Content Management |
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2019 | 2019 |
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Regional Water Authority CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Call Center | CRM |
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2025 | 2025 |
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Customer Data Platform | CRM |
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2025 | 2025 |
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Customer Support | CRM |
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2025 | 2025 |
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Regional Water Authority ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2022 | 2022 |
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Regional Water Authority 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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2019 | 2019 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Database Management | IaaS |
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2022 | 2022 |
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IT Decision Makers and Key Stakeholders at Regional Water Authority
Apps Being Evaluated by Regional Water Authority Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||