Data Management and Analytics Cloud Services – Total Cost of Ownership and Platform Selection
Demand for analytics at all companies will only increase in the coming years and much of this is unexposed cost. This report from McKnight Consulting Group highlights the full costs and true value when comparing technology stack adaptations for modern use cases.
In this paper, we have selected four use cases as examples of a broad range of modern use cases that need a platform. The four use cases are i) Customer 360: Customer Churn, ii) IoT / Streaming Analytics: Predictive Maintenance, iii) Fraud Detection, and iv) Full Value Chain / Supply Chain Optimization for Real Time Optimization. The first part will introduce those use cases and the elements to be used in costing the use cases. This is expanded on in the Appendix. The second part will cover some popular cloud data technology stacks that enterprises use in addressing these modern use cases. The approaches are multi-vendor, multi-cloud (single vendor), and single-cloud. Finally, we will apply approximate costs to the stacks for the use cases and share some observations in doing this across small, medium and large implementations of the use cases across the three types of stacks.
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