How Swire Coca-Cola Developed a Thirst for Domo
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Domo
Tech Stack
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Food & Beverage
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Swire Coca-Cola, USA is one of the largest independent bottlers and distributors of Coca-Cola products. The company has more than 7,000 associates and 60,000 retail customers in 13 western states. Swire's decision to use Domo was an initiative led by its C-suite. Its executives knew that Swire's proprietary data could be an incredible asset to enhance the value that the company delivered to its employees, customers, and communities.
The Challenge
Swire Coca-Cola, one of the largest independent bottlers and distributors of Coca-Cola products, was facing challenges with its existing solutions for analyzing business data and reporting. The solutions were complex, time-consuming, and not designed for real business people. Moreover, by the time data was delivered, it was stagnant and out of date, which meant that managers didn't have the best information against which they could make decisions. The company's executives knew that Swire's proprietary data could be an incredible asset to enhance the value that the company delivered to its employees, customers, and communities, and thus, they led an initiative to find a better solution.
The Solution
Swire Coca-Cola decided to use Domo, a data analytics platform, to overcome its challenges. Before selecting Domo, Swire engaged in a short proof-of-concept to see if Domo's technology could meet the expectations of its executive team. Domo was found to be easy to use and delivered significant value. It provided real-time information about all areas of the business, accessible in the palm of the hand. It eliminated the need to ask someone to create reports, as users could ask questions and collaborate with others on the data right in Domo. This made data more accessible and actionable across Swire's entire business.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
Case Study
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
Case Study
Coca Cola Swaziland Conco Case Study
Coco Cola Swaziland, South Africa would like to find a solution that would enable the following results: - Reduce energy consumption by 20% in one year. - Formulate a series of strategic initiatives that would enlist the commitment of corporate management and create employee awareness while helping meet departmental targets and investing in tools that assist with energy management. - Formulate a series of tactical initiatives that would optimize energy usage on the shop floor. These would include charging forklifts and running cold rooms only during off-peak periods, running the dust extractors only during working hours and basing lights and air-conditioning on someone’s presence. - Increase visibility into the factory and other processes. - Enable limited, non-intrusive control functions for certain processes.
Case Study
Temperature Monitoring for Restaurant Food Storage
When it came to implementing a solution, Mr. Nesbitt had an idea of what functionality that he wanted. Although not mandated by Health Canada, Mr. Nesbitt wanted to ensure quality control issues met the highest possible standards as part of his commitment to top-of-class food services. This wish list included an easy-to use temperature-monitoring system that could provide a visible display of the temperatures of all of his refrigerators and freezers, including historical information so that he could review the performance of his equipment. It also had to provide alert notification (but email alerts and SMS text message alerts) to alert key staff in the event that a cooling system was exceeding pre-set warning limits.
Case Study
Coca-Cola Refreshments, U.S.
Coca-Cola Refreshments owns and manages Coca-Cola branded refrigerators in retail establishments. Legacy systems were used to locate equipment information by logging onto multiple servers which took up to 8 hours to update information on 30-40 units. The company had no overall visibility into equipment status or maintenance history.
