List of NICE Nexidia Analytics Customers
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Since 2010, our global team of researchers has been studying NICE Nexidia Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased NICE Nexidia Analytics for Speech Recognition AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NICE Nexidia Analytics for Speech Recognition AI include: Northwestern Mutual, a United States based Banking and Financial Services organisation with 7000 employees and revenues of $36.12 billion, Barclays, a United Kingdom based Banking and Financial Services organisation with 93000 employees and revenues of $34.86 billion, British Telecom, a United Kingdom based Communications organisation with 85300 employees and revenues of $26.83 billion, AIG UK, a United Kingdom based Insurance organisation with 2815 employees and revenues of $2.35 billion, Intrum UK, a United Kingdom based Banking and Financial Services organisation with 300 employees and revenues of $30.0 million and many others.
Contact us if you need a completed and verified list of companies using NICE Nexidia Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The NICE Nexidia Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AIG UK | Insurance | 2815 | $2.4B | United Kingdom | Nice Systems | NICE Nexidia Analytics | Speech Recognition AI | 2015 | n/a |
In 2015 AIG UK deployed NICE Nexidia Analytics as a Speech Recognition AI solution to support outsourced and internal contact centre quality monitoring across EMEA. The deployment targeted operational performance uplift for outsourced contact centre management and internal operations, covering 56 outsourced service providers across EMEA and 12 internal contact centre sites in 10 countries supporting more than 1000 FTE.
AIG UK configured NICE Nexidia Analytics to provide automated speech analytics and quality monitoring for sales workflows, using automated Nexidia tooling to surface conversation insights and standardize evaluation. The implementation included centralized reporting and scorecarding capabilities that formed the technical backbone of a Target Operating Model for quality management, enabling consistent measures and standards across sites.
Operational coverage extended across contact centre operations, quality assurance and learning teams, and HR partnership for people processes, with business functions impacted including outsourced contact centre management, operational performance, quality management, training and recruitment. The solution was applied to both internal and external sites across EMEA, instrumenting voice interaction analysis and automated quality review to support multi skilling and adherence initiatives.
Governance changes included a formal Target Operating Model for Quality Management across EMEA, standardized reporting, and defined measures and standards. Process transformations and programs implemented alongside NICE Nexidia Analytics included introduction of multi skilling within country teams, a training programme with self learning modules in English and Spanish, and collaboration with Global HR to define career paths and rework role profiles and competencies. Outcomes explicitly reported include improved quality monitoring for sales, improved adherence, first contact resolution and CSAT scores, reduced operating costs through increased capacity and reduced headcount, and reduced waste and rework.
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Barclays | Banking and Financial Services | 93000 | $34.9B | United Kingdom | Nice Systems | NICE Nexidia Analytics | Speech Recognition AI | 2017 | n/a |
In 2017, Barclays implemented NICE Nexidia Analytics to support its virtual channel and performance insight teams. The deployment used NICE Nexidia Analytics within the Speech Recognition AI category to enable interaction analytics and query-driven speech analysis across global sites, supporting deeper visibility into the client journey.
The implementation emphasized Nexidia Interaction Analytics capabilities, including query building, interaction search, and analysis of speech-derived transcripts to surface client pain points and vulnerable client interactions. Operational activities included monthly and quarterly maintenance of analytics queries, detailed deep dive reviews with insight shares, and experience mapping workshops to translate analytics findings into actionable recommendations for channel teams.
NICE Nexidia Analytics was operated alongside Verint Speech Analytics as part of a multi-tool speech analytics approach, enabling cross-tool calibration and combined insight workflows. The operational scope covered multiple global sites and included rollout support for the Performance Framework across six sites, with analysts engaging channel leads and risk teams to align sampling and insight priorities with business workflows.
Governance and process restructuring were formalized through an end-to-end Governance Plan, governance sampling to validate alignment to the Performance Framework, and manager enablement via face to face and webex sessions. Deliverables from the implementation included performance framework reporting packs, risk and conformance checking of client interactions, and regular insight reporting to stakeholders to inform interaction and process improvement recommendations.
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British Telecom | Communications | 85300 | $26.8B | United Kingdom | Nice Systems | NICE Nexidia Analytics | Speech Recognition AI | 2017 | n/a |
In 2017, British Telecom implemented NICE Nexidia Analytics as part of a broader NICE deployment to transform contact center operations, using Speech Recognition AI to surface interaction-level insights. The program standardized on NICE platforms including NICE WFM and NICE Engage, with a planned group-wide roll out of these complementary solutions over the next three years, centrally governed to support BT’s global customer service organizations across approximately 180 countries.
NICE Nexidia Analytics was configured to provide speech and text analytics for in-depth analysis of customer and agent behavior, delivering interaction transcription, automated interaction categorization, and search and analytics workflows consistent with Speech Recognition AI capabilities. NICE WFM was implemented to manage forecasting and scheduling across thousands of contact center agents, supporting multi-skilled workforce optimization and the automated planning workflows required for large scale customer service operations.
Deployment used the NICE hosted delivery model to accelerate timelines, and NICE Engage provided enterprise-grade multi-channel recording, archiving and streaming to supply source data for Nexidia Analytics. The architecture centralized recording and analytics platforms to enable unified compliance data flows and to simplify support processes, with native linkage between recording, analytics and workforce management platforms within the NICE suite.
Governance focused on standardization across BT Group customer service organizations, centralized support processes and phased roll out over three years, enabling consolidated operational controls for regulatory compliance and total cost of ownership management. Explicit outcomes called out by BT included improved customer experience, optimized total cost of ownership, ensured regulatory compliance, improved employee engagement and a significant reduction in annual administrative costs.
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Retail | 20 | $2M | Singapore | Nice Systems | NICE Nexidia Analytics | Speech Recognition AI | 2021 | n/a |
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Banking and Financial Services | 300 | $30M | United Kingdom | Nice Systems | NICE Nexidia Analytics | Speech Recognition AI | 2011 | n/a |
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Banking and Financial Services | 7000 | $36.1B | United States | Nice Systems | NICE Nexidia Analytics | Speech Recognition AI | 2015 | n/a |
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Buyer Intent: Companies Evaluating NICE Nexidia Analytics
- Bursor & Fisher, a United States based Professional Services organization with 10 Employees
- The Disney Store UK, a United Kingdom based Retail company with 1331 Employees
- Northwestern Mutual, a United States based Banking and Financial Services organization with 7000 Employees
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