Cloud and data analytics clearly joined at the hip has been added to your bookmarks.
Cloud and data analytics clearly joined at the hip
Deloitte on Cloud Blog
The reality is that if analytics are in your near or long-term future of dealing with enterprise data than cloud is probably the analytics solution you’re seeking, or at least the core platform.
October 11, 2018
A blog post by David Linthicum, managing director, chief cloud strategy officer, Deloitte Consulting LLP
In an April 2018 survey of 500 analytics and business intelligence professionals worldwide conducted by MicroStrategy, it was found that 24
The writing is on the wall for enterprises. For marketers, for example, outdated technology often stands in the way of getting insights on customers in meaningful ways. In fact, in a July 2018 survey of 560 marketing professionals worldwide conducted by Harvard Business Review Analytic Services, 36
They view these systems as preventing them from implementing real-time analytics to get the customer insights they needed. Moreover, a third of respondents also reported that data silos hinder their progress, with the data needed to do the proper analysis often inaccessible.
Cloud computing becomes a force multiplier in this space to address many of the problems found in the survey, including:
- The core consolidation and integration of data. Cloud computing provides an inexpensive way to both consolidate, improve, and integrate data into analytics. Moreover, the number of databases that are available on premises that can be found in the cloud
isnumerous, as well as cloud nativepublic cloud databases such as AWS’s RedShift.
- The use of machine learning and other AI technology. When machine learning is bound with data the potential of those driving analytics to gain better insights into that data is greatly improved. Indeed, AI provides the ability to learn from patterns and now static streams of data, so making your analytics systems think are a part of cloud-based data analytics.
- The use of big data in the cloud makes the use of larger distributed databases that are able to leverage both structured and unstructured data affordable. Hadoop systems that would cost millions in hardware and software if done on-premises could be a fourth of that cost in the cloud, depending on the cloud provider and service you’re leveraging.
The reality is that if analytics are in your near or long-term future of dealing with enterprise data then
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