Accelerating the
Industrial Internet of Things

The Kellogg Company

The Kellogg Company
The Kellogg Company
The Kellogg Company
The Kellogg Company
Amazon Web Services (AWS) Amazon Web Services (AWS)
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OVERVIEW
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.
Kellogg Company is an American multinational food manufacturing company, with 30,000 employees.
Amazon Web Services offered a fully SAP-certified HANA environment on a public cloud platform. Because SAP works on the AWS Cloud, the solution could achieve the speed, performance, and agility it required without making a significant investment in physical hardware.
Spend data for TV ads, digital marketing, coupon campaigns and other promotions, sales commissions, display and shelving costs
IT
Emerging (technology has been on the market for >2 years)
OPERATIONAL IMPACT
End-to-end Service Delivery - Amazon CloudWatch allocates costs to each department based on their individual infrastructure usage to incentivize waste reduction.
High Acceptance - Engineers can easily apply their existing knowledge and infrastructure skills to the AWS Cloud.
QUANTITATIVE BENEFIT
Staff can deploy instances 90% faster than with Kellogg's previous on-premises solution.
Kellogg estimates savings of $1M in software, hardware, and maintenance over 5 years, solely due to switching to AWS in its test and development environments.
The new cloud infrastructure enabled Kellogg to run dozens of data simulations a day to identify opportunities to reduce trade spend.
TECHNOLOGY
IOT SNAPSHOT
The IoT ONE Radar indicates the mix of hardware, software and services used in an IoT solution.
Hardware
Software
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
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