Conquering Inefficiency in Data Analytics

 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.

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...)