Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 28 September 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.
Customer Analytics refers to analyzing customer data insights to better understand customer behavior, preferences, and trends. By leveraging customer data analytics, businesses can make informed decisions to enhance customer experiences. Modern customer analytics platforms and AI customer analytics help organizations process large volumes of data efficiently to gain actionable insights.
Customer analytics solutions are vital for businesses to improve decision-making, enhance customer satisfaction, and drive growth. By utilizing customer experience data analytics, companies can identify customer needs, predict trends, and tailor their offerings. With tools like customer analytics and customer data visualization, businesses can gain a competitive edge and create personalized experiences leading to higher customer retention and loyalty.
Customer Analytics works by collecting, organizing, and analyzing data from multiple touchpoints. Customer analytics solution providers use advanced technologies, such as AI customer analytics, to extract meaningful patterns from raw data. These insights are often visualized using customer data visualization tools, making it easier for businesses to interpret and act upon them. The process involves integrating data from various sources into a centralized customer analytics platform, enabling seamless analysis and reporting.
There are several types of customer analytics that organizations can utilize, including:
These categories are supported by customer analytics consulting and specialized customer analytics solutions tailored to specific business needs.
Implementing a robust customer analytics platform offers numerous benefits, such as:
By adopting advanced customer analytics tools, businesses can optimize operations, improve customer experiences, and drive revenue growth.