How to Reduce the TCO of the Cloud Analytics Platform

Presented by

@Nicolas Korchia, Co-fondateur et COO Indexima @Darragh OFlanagan, Sr. Partner Solutions Architect, EMEA ISVs, AWS

About this talk

The Ins And Outs Of The Analytics TCO Data, analytics, and insights investments are becoming more crucial than ever to stay ahead of uncertainty and get smarter about every aspect of the business: customers, suppliers and partners, competitors, employees, processes, operations, and markets. How to achieve the golden number of analytics? Which tangible benefits insights-driven business companies can expect as compared to their beginner peers and competitors. In order to ensure the digital transformation and optimization of big data analytics use cases, what are the key elements for an organization to take into account in order to be successful in its TCO calculation? What are the best practices for optimizing results? 1.First of all, the TCO of the data environment, where the Cloud seems to be establishing itself as an essential element. 2.Then, the TCO of analytical tools, and more particularly those related to Business Intelligence solutions. 3.Finally, we will focus on the TCO of the processes implemented within the analytics. The TCO will thus be broken down with regard to the human cost, the capital cost and the performance cost within a Big Data analytics use case.

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Indexima delivers a powerful solution, allowing instant analytics on all your business data. This robust and scalable solution helps organisations to reveal the powerful insights buried within their data. Indexima queries all your data directly at source, tens of billions of lines handled in only milliseconds. This is Zero time To Data. Whether in the cloud or on-premise the speed of the solution permits real time analysis of your sales, marketing, financial, technical and market research data. Indexima empowers companies to achieve a higher level of performance, to become more agile and responsive as well as gaining a tighter control over IT costs.