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● Florida State University, an Oracle PeopleSoft HCM customer evaluated Workday HCM

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● ASGC Group, an Oracle E-Business Suite customer evaluated Oracle Cloud ERP

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● Travelers, an Exterro Zapproved ZDiscovery customer evaluated LexisNexis CounselLink

● MECCA Australia, a Microsoft Dynamics NAV customer evaluated SAP S/4HANA

List of NICE Nexidia Analytics Customers

NiCE
Location
13 Zarchin Street,
Ra'anana, 4310602,
Israel
Website
https://www.nice.com/
Phone
972 9 775 3151
Artw industry
Professional Services
Employee
8726
Revenue
$2.7B

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
Retail 20 $2M Singapore Nice Systems NICE Nexidia Analytics Speech Recognition AI 2021 n/a
Insurance 2815 $2.4B United Kingdom Nice Systems NICE Nexidia Analytics Speech Recognition AI 2015 n/a
Banking and Financial Services 93000 $34.9B United Kingdom Nice Systems NICE Nexidia Analytics Speech Recognition AI 2017 n/a
Communications 85300 $26.8B United Kingdom Nice Systems NICE Nexidia Analytics Speech Recognition AI 2017 n/a
Banking and Financial Services 300 $30M United Kingdom Nice Systems NICE Nexidia Analytics Speech Recognition AI 2011 n/a
Banking and Financial Services 7000 $36.1B United States Nice Systems NICE Nexidia Analytics Speech Recognition AI 2015 n/a
Showing 1 to 6 of 6 entries

Buyer Intent: Companies Evaluating NICE Nexidia Analytics

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating NICE Nexidia Analytics. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating NICE Nexidia Analytics for Speech Recognition AI include:

  1. Bursor & Fisher, a United States based Professional Services organization with 10 Employees
  2. The Disney Store UK, a United Kingdom based Retail company with 1331 Employees
  3. Northwestern Mutual, a United States based Banking and Financial Services organization with 7000 Employees

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