delaware wins Data News Award 2020 – Customer Centric IT Company of the year
As a dedicated partner that delivers end-to-end solutions and services to organizations striving for a sustainable competitive advantage, we need to know our customers inside and out. We are extremely proud to announce that our customer focus hasn’t gone unnoticed. delaware is honored with the Data News Award 2020 – Customer Centric IT Company of the Year.
Nurturing long-term partnerships
At delaware, we value relationships with customers that extend far beyond implementation and we offer a wide portfolio of services, from strategy all the way to continuous improvement. Our methodological approach to projects is tailored to each customer’s industry, business model and needs, enabling us to support them from A to Z.
As part of the qualification submission for the Data News Award 2020, delaware customers shared their experiences of working with us, including:
“Working with delaware on the change management aspect of the project offered significant value. They came in with a refined approach, well-defined communication methodologies and tried-and-tested templates. It was noticeable that delaware’s large team already had broad experience with global implementation projects.” – Raphaël Vander Auwera, director of Business Solutions & Intelligence at Lhoist.
“AVR values the close, tangible collaboration with delaware. They really are a one-stop-shop for innovation, whether it’s in web development, strategic vision or trending technologies.” – Koen Uyttenhove, IoT manager at AVR.
Inspiring words from the jury
We are extremely proud to be recognized for our customer commitment by the Data News Jury, which issued the following statement:
"The jury felt like delaware stood out the most in terms of customer centricity. The judges know about satisfied customers – both from experience and from their own networks. delaware puts the customers at the heart of every project from the very beginning to the actual delivery. The result is projects with a very large 'fit' between expectation and delivery.”