Conquering Inefficiency in Data Analytics

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 Data Analytics has become too cumbersome!

Big data and analytics are coming to the forefront of enterprise IT requirements today and for a good reason. Insight and decisions based on analysis of the data at an organization’s fingertips can be a significant contributor to the bottom line.

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In this paper we will learn the main challenges of deploying a sound analytics system and how Panoply solves many of these issues by committing to a fully to a cloud-based model:

  • In-house development and data logic challenges
  • Complexity in systems management and operations alignment
  • Performance tuning of large data systems
  • Conquering inefficiencies (self-service, aggregations, machine learning...)

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Panoply is used by some of the world’s most data-driven companies.