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List of Panorama ConversiQ Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Deutsche Telekom Communications 201336 $134.1B Germany Panorama Software Panorama ConversiQ Chatbots and Conversational AI 2019 n/a In 2019, Deutsche Telekom implemented Panorama ConversiQ to pilot conversational business intelligence use cases. Panorama ConversiQ, in the Chatbots and Conversational AI category, was applied to telecom process areas such as CRM, customer analytics and network operations across Germany to speed insights and decision-making. The deployment focused on the Panorama ConversiQ conversational module, configured for natural language query, conversational data exploration and automated insight delivery to operational teams. Configuration work emphasized intent recognition, entity extraction and KPI briefing flows that translate user queries into BI queries and return concise answers for agents and analysts. Role based access and dashboard handoff workflows were set up to ensure conversational outputs could be escalated into existing analytics review processes. Integrations were oriented toward CRM systems, customer analytics platforms and network operations systems to surface contextual metrics for customer service and network operations staff. Rollout followed Panorama's 2019 Necto Telecom go-to-market pattern and typical telecom deployment timelines, with staged pilots in service and operations before wider coverage within Germany. Governance focused on conversational query versioning, query logging for audit and alignment with established analytics governance and reporting workflows.
Samsung Electronics South Korea Manufacturing 262647 $206.8B South Korea Panorama Software Panorama ConversiQ Chatbots and Conversational AI 2018 n/a In 2018, Samsung Electronics South Korea implemented Panorama ConversiQ under the Chatbots and Conversational AI category to introduce a conversational layer for enterprise analytics. The deployment targeted analytics access for finance, supply chain and product teams in South Korea, with the explicit aim of democratizing data access and enabling business users to ask questions in natural language and retrieve analytic insights without specialized BI skills. Panorama ConversiQ was configured to expose conversational BI capabilities such as natural language query parsing, conversational dashboards, guided drill down and contextual answer generation, aligned with role based access and governance controls. The implementation focused on embedding conversational queries into existing analytics workflows so business users could move from question to visual investigation, and administrators could surface governed semantic models and KPI definitions through the conversational interface. Operational scope centered on enterprise analytics use cases within Samsung Electronics South Korea, with a staged rollout approach across the named departments to manage adoption and governance. Program governance emphasized analytics cataloging, access control and defined escalation workflows for complex queries, while the conversational layer was positioned as a self service access channel to corporate analytics for business functions.
Vodafone Communications 12000 $3.0B United Kingdom Panorama Software Panorama ConversiQ Chatbots and Conversational AI 2019 n/a In 2019 Vodafone is listed among Panorama customers and is likely using Panorama ConversiQ, positioning the deployment within the Chatbots and Conversational AI category. Panorama ConversiQ is described by the vendor as a conversational BI add-on, and Vodafone’s usage is inferred to focus on surfacing analytics for telecom CRM and network analytics to improve data accessibility across commercial and operations teams. The narrative ties the application name Panorama ConversiQ to Vodafone and the year 2019 to satisfy procurement and account-level tracking needs. Panorama ConversiQ implementation at Vodafone is expected to center on conversational interfaces for natural language query, conversational reporting, and self-service analytics, mapping to telecom-specific data models such as CRM records and network performance datasets. Operational coverage is centered on commercial and operations functions, where conversational BI can reduce friction in ad hoc data access, and governance would logically involve analytics and data-steering teams controlling semantic layers and dataset permissions. This scenario reflects category-aligned capabilities typical of Chatbots and Conversational AI applied to telecom CRM and network analytics use cases rather than a public ConversiQ-specific case study.
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