Alexander Seeliger
Analyst Data & Analytics, Data Scientist
Alexander Seeliger identifies the potential of AI for you and helps you to make the best possible use of it.
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The Future of Analytics: Download
Advanced analytics has come a long way in recent years since the hype around big data ignited. Since then, a considerable number of companies have prototyped analytics solutions and sought to operationalize them with varying degrees of success. Find out how to fully exploit the potential of advanced analytics.
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This study will show you
- The requirements for a successful Advanced Analytics implementation.
- How to fully exploit the potential of advanced analytics
- The importance that companies currently attach to advanced analytics and the importance that companies will attach to it in the future
- Whether intelligent software functions such as augmented analytics and automated machine learning are able to render expert knowledge superfluous
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Further information
Advanced analytics has come a long way in recent years since the hype around big data ignited. Since then, a considerable number of companies have prototyped analytics solutions and sought to operationalize them with varying degrees of success.
Besides data scientists, user groups such as business analysts are now exploring the potential of advanced analytics. Processes to explore data and operationalize analytics are being consolidated and tools are increasingly addressing the needs of these different user groups and processes, and even automating data analysis.
“The Future of Analytics” provides insights into the current state of advanced analytics and seeks to shed light on its potential future development to inform your decisions.
It is based on a worldwide online survey of 317 companies of varying sizes across a range of industries.
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