Enabling Predictive Analytics with InfluxDB
As businesses seek to leverage data to improve operations, predictive analytics provide an avenue to harness that data and make it effective. Data collected from key sources and systems not only provides insight into how they function but can also be used to train predictive models that anticipate and identify issues before they arise. This means that organizations can be strategic with their operations to proactively optimize or repair systems to the benefit of end users and profit margins.
This technical paper discusses what predictive analytics are, examines different techniques for implementing predictive analytics, and demonstrates how time series data is a critical foundational element of this type of analysis. You’ll also learn how a time series database, like InfluxDB, can manage the large workloads of time-stamped data that modern systems generate. InfluxDB easily integrates with virtually any tool to train and tune machine learning models, so businesses can optimize operations and improve their bottom line.
In this e-book, you will learn:
- What predictive analytics are and how they work
- How InfluxDB powers predictive analytics
- Common techniques for implementing predictive analytics