AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of ETAP Network analysis Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Alpine Energy Utilities 115 $50M New Zealand Operation Technology ETAP Network analysis Analytics and BI 2018 n/a
In 2018, Alpine Energy implemented ETAP Network analysis as its primary Analytics and BI application for distribution network modelling and planning. The deployment was driven by a requirement to build models that are both structured and flexible to accommodate future expansion and changing network conditions. The implementation centered on a standardized naming convention and a deliberate model structure to simplify model loading and data handling. Alpine Energy configured ETAP Network analysis with templates and color coding tied to thematic elements to mirror the physical network, and it developed a library from scratch that is phased in and updated during validation cycles. Operational workflows include use of ETAP to run Load Flow, Fault Level and Protection Coordination studies, and exploitation of ETAP multi-dimensional database capabilities to manage financial years, switching configurations, and the insertion of proposed loads into the appropriate configuration year. Data sources feeding the models are explicitly integrated at the data collection level, with historical demand, voltages and currents gathered from smart meters at customer level, power quality measurement devices at distribution transformers, protection relays at substations, and the SCADA system. Governance and process changes accompanied the technical build, with rigorous processes established to ensure accuracy and consistency in model construction and data management. The phased library approach and validation-driven data updates created repeatable workflows for model maintenance and verification, supporting controlled rollout of new scenarios. As an outcome of these activities, Alpine Energy embedded ETAP Network analysis into a disciplined Network Development Planning process, enabling the utility to plan for future network changes in an efficient and effective manner. The company has also documented a roadmap to extend integration with its geospatial information system and deepen real-time links to the supervisory control and data acquisition environment to support future protection coordination and scenario automation.
City of Azusa Government 376 $195M United States Operation Technology ETAP Network analysis Analytics and BI 2022 n/a
In 2022, the City of Azusa deployed ETAP eSCADA to create a unified, digital-twin-driven SCADA for substation operations and feeder load management. ETAP Network analysis was implemented as the Analytics and BI component and the solution was provided by Operation Technology. Implementation emphasized real-time network modeling and analytics, with ETAP Network analysis configured for digital twin modeling, telemetry ingestion, and operational visualization to support situational awareness. Configurations targeted substation monitoring, feeder load management, and peak-load scenario analysis, and the North America deployment was commissioned within months and operationalized by distribution operations teams. The deployment covered operations and distribution utility functions, improving situational awareness, tightening substation monitoring, and supporting better peak-load management during summer seasons. Governance and workflow changes focused on operational procedures for dispatch and load management, with rollout prioritized to substation sites and feeder operations.
Kuwait Oil Company Oil, Gas and Chemicals 11713 $16.6B Kuwait Operation Technology ETAP Network analysis Analytics and BI 2024 n/a
In 2024, Kuwait Oil Company implemented ETAP Network analysis as an Electrical Information Management System, classified in the Analytics and BI category. The deployment centralized power reservation workflows, real-time monitoring and asset management across its Ahmadi distribution network for operations and power management. The implementation bundled ETAP modules NetPM, eSCADA, ETAP GIS and ETAP eWeb, configured to provide electrical network analysis, asset record management, geospatial visualization and browser-based operational access. ETAP Network analysis was used to capture SCADA telemetry streams, consolidate maintenance and reservation processes, and enable collaborative work-order management through ETAP eWeb. The 2024 Middle East pilot focused on the Ahmadi distribution network, delivering a consolidated operational view for control room staff and field crews and aligning distribution-level power management with centralized reservation workflows. Operational coverage emphasized distribution operations, site-level asset visibility and coordinated power management across the targeted network. Governance and process changes centralized power reservation approvals and introduced collaborative work-order workflows tied to the EIMS platform, accelerating decision-making and expediting operational workflows through integrated monitoring. Reported outcomes from the pilot included improved geospatial visibility and reduced site visits, achieved via integrated monitoring and collaborative work-order management.
Manufacturing 5454 $2.3B Mexico Operation Technology ETAP Network analysis Analytics and BI 2024 n/a
Showing 1 to 4 of 4 entries

Buyer Intent: Companies Evaluating ETAP Network analysis

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating ETAP Network analysis. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD ETAP Network analysis Coverage

ETAP Network analysis is a Analytics and BI solution from Operation Technology.

Companies worldwide use ETAP Network analysis, from small firms to large enterprises across 21+ industries.

Organizations such as Kuwait Oil Company, Skyworks Solutions Mexico, City of Azusa and Alpine Energy are recorded users of ETAP Network analysis for Analytics and BI.

Companies using ETAP Network analysis are most concentrated in Oil, Gas and Chemicals, Manufacturing and Government, with adoption spanning over 21 industries.

Companies using ETAP Network analysis are most concentrated in Kuwait, Mexico and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of ETAP Network analysis across Americas, EMEA, and APAC.

Companies using ETAP Network analysis range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 25%.

Customers of ETAP Network analysis include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified ETAP Network analysis customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.