Wavicle Data Solutions acquires restaurant analytics company Dinelytics, Inc. and launches national restaurant practice
Date: Wednesday November 6, 2019
Wavicle taps Duane Lyons, former Dinelytics president, to lead practice and build on established Wavicle restaurant analytics credentials
CHICAGO (November 6, 2019) – Wavicle Data Solutions, a leading provider of data and analytics solutions and services, today announced it has formally launched its National Restaurant Practice led by newly appointed practice lead, Duane Lyons. Duane is the former president of Dinelytics, which was acquired by Wavicle as a part of his new leadership role at the company.
Combined with Wavicle’s already well-established track record of data, analytics, and machine learning solutions and services in the national and global restaurant space, Duane will be responsible for the vision, management, growth, and innovation occurring within the practice. In addition, Duane will provide oversight and direction to strategic accounts within the industrial and manufacturing space across the Midwest. Under Duane’s direction, Wavicle’s National Restaurant Practice will help customers overcome some of the most daunting and hot-button data and analytics challenges facing today’s big restaurant brands, including:
- Delivery measurement and ROI – Offering off-premises dining is no longer optional. Managing multiple third-party delivery services, in-house delivery operations, and customer care and quality are adding exponentially to the complexity of data sources and the business insights that derive from them.
- Mobile app insights – Knowing how customers use an app, distributing and measuring personalized offers, and finding ways to avoid the active user base drop-off are critical.
- Point of sale analytics – Often at the heart of restaurant data, POS systems data must be integrated with restaurants’ growing external and internal data sources to get a full picture of their sales, customer, and operational analytics.
- Franchisee analytics – Large, multi-unit franchisees face unique challenges and must be able to leverage data to optimize performance.
“We are pleased to have Duane join Wavicle and combine his decades of restaurant BI and customer analytics expertise with our deep restaurant analytics credentials,” said Naveen Venkatapathi, president of Wavicle Data Solutions. “With the exponential growth of big data and analytics challenges facing the restaurant industry, now is the perfect time to formalize our restaurant practice and expand our footprint in that space in a more deliberate, aggressive way.”
“By establishing a formal restaurant practice at Wavicle, we can take our expertise and best practices to a broader range of clients and help them achieve benefits and results in a way that drives down both costs and implementation times,” stated Lyons. “That ability to deliver critical machine learning and analytics technologies that help solve business problems in an efficient, repeatable way is a significant asset to our customers as they strive to stay on top in an incredibly competitive market.”
For more information about Wavicle and its National Restaurant Practice area, please visit https://dev.wavicledata.com/restaurant-analytics.
ABOUT WAVICLE DATA SOLUTIONS
Wavicle Data Solutions delivers data and analytics solutions that help organizations achieve business results. Wavicle delivers custom solutions to capture, analyze, and share growing volumes of data from traditional on-site systems, cloud applications, social media, and numerous other sources. Wavicle combines its expertise in data engineering and architectures with artificial intelligence and machine learning concepts to help enterprises imagine new ways to manage costs, increase sales, and become more efficient. Wavicle was also recognized as an Inc. 500 company in the 2019 list of fastest growing private companies in America. For more information about Wavicle Data Solutions’ offerings for large organizations that want to get more value from their massive volumes of growing data, please visit http://www.wavicledata.com/.