Welcome!

News Feed Item

Cognizant Tops KPMG's Client Satisfaction and Recommendation Rankings in Germany and Switzerland

All Cognizant Clients Among Those Surveyed Satisfied With The Company; Secures High Scores On Major Performance Indicators

FRANKFURT, Germany and ZURICH, Dec. 3, 2012 /PRNewswire/ -- Cognizant (NASDAQ: CTSH) announced today that it has topped the customer satisfaction and recommendation rankings in KPMG's Outsourcing 2012 study of service provider performance in Germany and Switzerland.

Cognizant topped the general satisfaction and client recommendation rankings with scores significantly higher than the average industry satisfaction and client recommendation rates. Notably, all Cognizant clients amongst those surveyed were satisfied with its services. The company secured the top scores on other major performance indicators, including recommendation, strategic relationship management, innovation, service quality, risk reduction, flexibility and governance.

The independent study evaluated 16 global and local service providers based on an assessment of more than 300 unique client-provider relationships. As part of the study, CFOs, CIOs or their direct reports at some 100 of the top IT spending organizations in the region were interviewed.

"We are pleased to have topped KPMG's overall customer satisfaction rankings in Germany and Switzerland," said Santosh Thomas, Senior Vice-President and Head of Continental Europe, Cognizant. "This recognition speaks to our culture of customer satisfaction, supported by a consulting-led, high-touch relationship model. In Cognizant, clients see a partner who can address their dual mandate of driving cost-savings and innovation on one integrated platform to help them navigate both cyclical and structural shifts simultaneously. Our strategy of building strong local teams and capabilities for delivering the full range of our service offerings is helping us win a fair share of opportunities in the marketplace. We are proud to have maintained the highest client satisfaction levels in our industry."

"Cognizant received excellent feedback from their clients and high scores across key performance indicators," said Jeff Loos, Head of Sourcing Research for KPMG in Europe. "Cognizant does not have one dissatisfied client, which makes the company the top performer among the 16 global, regional, and local IT outsourcing service providers that we evaluated. These results reflect similar findings in the Nordics earlier this year. Such consistent feedback across different countries and markets shows that the company's client-focused strategy is the right one."

About Cognizant
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. With over 50 delivery centers worldwide and approximately 150,400 employees as of September 30, 2012, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Visit us online at www.cognizant.com or follow us on Twitter: Cognizant.

Forward-Looking Statements
This press release includes statements which may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties, and assumptions as to future events that may not prove to be accurate. Factors that could cause actual results to differ materially from those expressed or implied include general economic conditions and the factors discussed in our most recent Form 10-K and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.

SOURCE Cognizant

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
The vast majority of businesses now use cloud services, yet many still struggle with realizing the full potential of their IT investments. In particular, small and medium-sized businesses (SMBs) lack the internal IT staff and expertise to fully move to and manage workloads in public cloud environments. Speaker Todd Schwartz will help session attendees better navigate the complex cloud market and maximize their technical investments. The SkyKick co-founder and co-CEO will share the biggest challe...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycl...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack – from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they’ve also resulted in some unintended side-effects: complexity and risk. ...
Everyone wants the rainbow - reduced IT costs, scalability, continuity, flexibility, manageability, and innovation. But in order to get to that collaboration rainbow, you need the cloud! In this presentation, we'll cover three areas: First - the rainbow of benefits from cloud collaboration. There are many different reasons why more and more companies and institutions are moving to the cloud. Benefits include: cost savings (reducing on-prem infrastructure, reducing data center foot print, r...
Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.