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Case Studies(34)

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Presidion Case Studies ( 2 of 34 Case Studies )
COMPANY SIZE
10,000+ Employees
INDUSTRY
Banking
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Using Enhanced Cognitive Analytics to Gain A Competitive Edge By Finding Valuable Answers To Questions Not Yet Asked
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Retail
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Significantly Lifting Incremental Spend With Tailored Promotions for Loyalty Card Customers
Martin Squires
Head of Customer Insight
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COMPANY SIZE
201-500 Employees
INDUSTRY
Civic & Social Organization
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Using IBM SPSS Software to Analyse Needs, Behaviour and Opinions Overview
Hamid Dardour
Customer Analyst
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COMPANY SIZE
1001-5000 Employees
INDUSTRY
Insurance
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Santam Insurance Boosts Customer Service and Beats Fraud
Anesh Govender
Head of Finance
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Predictive Analytics Cuts Churn and Reduces Hardware Investments, Saving Millions Of Euros Per Year
Elvir Mujkic
Head of Infomanagement
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COMPANY SIZE
1001-5000 Employees
INDUSTRY
Oil & Energy
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Saving Millions With A Predictive Asset Monitoring And Alert System
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Steven Benn
Manager
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Idealtours Gains Deep Insights into Holidaymaker Behaviour – Predicting the Success Of Vacation Packages Before They Are Booked And Paid For
Christof Neuhauser
CEO
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Banking
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Bancolombia strengthens anti-money-laundering capabilities with Predictive Analytics
Francisco Ruiz
Head of Compliance
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COMPANY SIZE
11-50 Employees
INDUSTRY
Consumer Services
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Location-Based Marketing Offers Used To Boost Sales and Attract More Retail Partners
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INDUSTRY
Telecommunications
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Presidion accelerated this organisation’s advanced analytical capability providing a value added service to clients and bolstering their edge against direct competitors
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COMPANY SIZE
5001-10,000 Employees
INDUSTRY
Banking
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Statistical Modeling Used To Identify Hidden Predictors In Loan Applications, Reduce Defaults And Increase Capital Reserves
Tamás Tóth
Head of Analysis and Modeling
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Computer Networking
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Predicting and Preventing Employee Attrition With HR Analytics
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COMPANY SIZE
201-500 Employees
INDUSTRY
Sports and Sporting Goods
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Wimbledon 2014: Keeping Fans On The Ball with New Insight Into Every Shot
Mick Desmond
Commercial Director
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Predicting Customer Satisfaction Based On Network Health Helps Boost Loyalty and Reduce Churn
Maximiliano Peppe
Manager Customer Experience
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COMPANY SIZE
201-500 Employees
INDUSTRY
Computer Software
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Focusing on The Factors That Really Influence People’s Healthcare Decisions
Venky Ravirala
Chief Analytics Officer
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Using IBM Cognos TM1 to Enable Speedy Planning And Decision-Making
Koichi Fukuda
Section Head
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COMPANY SIZE
1001-5000 Employees
INDUSTRY
Higher Education
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University of Western Sydney learns the secrets of student retention
Stephen Butcher
Senior Manager in the Information & Analysis Unit
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COMPANY SIZE
5001-10,000 Employees
INDUSTRY
Financial Services
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Predictive Analytics Used To Craft Preventive Programs That Keep Members Healthier and Costs Lower
Matthew Zylstra
Risk Intelligence Technical Development
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Automotive
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Automotive Manufacturer Increases Productivity for Cylinder-Head Production By 25 Percent
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COMPANY SIZE
51-200 Employees
INDUSTRY
Accounting
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Using Leading-Edge Text Analytics to Reveal Customer Insights That Generate Real Business Benefits
Anna Sapronova
Consultant Business Intelligence
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Analytics Help Reduce Churn and Gain New Customers
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COMPANY SIZE
5001-10,000 Employees
INDUSTRY
Insurance
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Swedish insurance company shifts from two nationwide direct marketing campaigns a year to 13 a day thanks to IBM SPSS predictive analytics software
Ola Gustafsson
Customer Data Analyst
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Internet
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Increasing Customer Loyalty with Highly Targeted Marketing Campaigns Across Channels at Scale
Kien Ngo Duc
Team Manager Customer Management
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TILDA Gains New Insights with Computer-aided Interviewing
Eilish Burke
Project Manager
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COMPANY SIZE
51-200 Employees
INDUSTRY
Information Technology and Services
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Unlocking Eye-Opening Insights into Consumer Opinions with Cutting-Edge Analytics
Anja Decker
Head of MOTOR-TALK Intelligence
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COMPANY SIZE
1001-5000 Employees
INDUSTRY
Utility
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Predictive Modeling Used To Help Protect the Environment And Save Costs
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Banking
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Using Customer Feedback To Drive Profitability – They Are Now Spending Less Time Collating The Data And More Time Driving Insights Out Of The Data
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Statistical Analysis and Predictive Analytics Allocate Resources to Citizens While Planning For Growth
Gerhard Dekker
Head of Research and Statistics
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COMPANY SIZE
51-200 Employees
INDUSTRY
Insurance
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Insurance Company Increases Long-Term Customer Profitability By 20 Percent
Philippe Neyt
Commercial Director
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Automotive
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Designing Better, Safer, More Personalized Automobiles with Big Data Analytics
Kyoka Nakagawa
Chief Engineer
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Utility
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Obtains Real Bottom-Line Value by Using Predictive IBM Analytics Solutions
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Domenic Breininger
Supervisor Business Intelligence
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COMPANY SIZE
10,000+ Employees
INDUSTRY
Medical Practice
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University Hospitals of Leicester improves Patient outcomes
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Damian Roland
Consultant in Pediatric Emergency Medicine
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Case Studies, Success Stories, Customer Stories & Customer References of individual Presidion customers - their use cases, successful stories, approaches, and customer success results of using the software or service. Read these Case Studies, Success Stories, Customer Stories & Customer References to decide if Presidion is the right business software or service for your company.

We monitor all 34 case studies & success stories to prevent fraudulent case studies & success stories and keep all our case studies & success stories quality high. We only post case studies & success stories verified by the vendor. Verified case studies & success stories require that customer is an actual user of the product.