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.
However, in this new era where previously unthinkable quantities of data have become the norm, organizations certainly face some challenges with the requirements of modern data systems. In this paper we will learn the main challenges of deploying a sound analytics system and how Panoply.io 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...)