Fast Food Chain Turns to ePlus for Data Modernization Assessment
Findings shed light on skillset gaps, preparing the organization to migrate to a modern data warehouse and meet revenue and location growth goals
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Business Challenges
Challenge 1
The customer needed an improved means to utilize its business data with a stated goal of increasing both revenue and store presence by 100% over five years.
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Challenge 2
They sought to increase the amount of data analyzed while improving their analytic performance and minimizing operational cost and upkeep of infrastructure.
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Challenge 3
The fast food chain needed to improve the cost efficiency of analyzing data during a projected growth period.
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Why ePlus?
- The ePlus Data Assessment processes and methodology have been honed via complex real-world experiences to quickly identify current state and provide a comprehensive action plan that can be immediately executed.
- ePlus has a proven track record of supporting the growth of retail organizations, creating synergies between business goals, technology, and data to facilitate innovative and transformative solutions.
- ePlus had an existing Managed Services relationship with this customer, which immediately instilled trust and a commitment to quality delivery that carried over to supporting the data team.
Solution
ePlus Cloud Managed Services for Microsoft Azure
- ePlus engaged with the customer to discover the business and technical requirements for the data modernization effort to support the stated revenue growth.
- By observing the customer’s environment and interviewing its staff, ePlus captured the current state of the data estate.
- Through a series of design sessions, ePlus created a Future State Reference Architecture.
- ePlus created a gap analysis around people skills and organizational readiness in order to ensure the customer can take advantage of the new capabilities.
Business Outcomes
- The results of the Data Modernization Assessment provided the customer with visibility and critical information pertaining to sales, location, pricing, and costs, preparing them to migrate to a modern data warehouse implementation that will enable them to double revenue and locations over the next five years.
- Identification of skillset gaps provided the insight needed to spread responsibilities and decrease risk of operational interruptions. In addition, it provided clarity to focus on key training areas for data administration, validation, and ownership—enhancing their ability to maintain, optimize, and run the platform to achieve their data collection and delivery goals.
- The assessment findings helped the customer make necessary changes to enhance their ability to analyze data, increase time to value of the data, and scale as necessary while decreasing licensing and infrastructure costs.
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