Time series intelligence software, also known as time series analytics software, offers a way to analyze and extract significant business insights and trends from time series data. Time series intelligence tools allow users to identify patterns within massive, continuous time series data sets to perform reporting, forecasting, and predictive analysis. These solutions provide data visualization capabilities that help users understand the complex data.
By utilizing embedded machine learning, time series intelligence tools pull out previously hidden insights—such as microtrends and anomalies—without requiring a human to dig through the data manually, saving a business time and resources. Time series intelligence software is most often leveraged by data scientists, data analysts, or other members of IT departments, but can be used by the average business user as well.
These solutions differ from business intelligence platforms and big data analytics software in the sense that they pull data from a time series databases to perform the specific function of time series analysis. Time series intelligence tools may overlap with certain IoT analytics software , due to those tools consuming time series data from IoT sensors.
To qualify for inclusion in the Time Series Intelligence category, a product must:
Ingest and consume time series data from time series databases
Continuously monitor, and provide visualizations of, time series data
Pull out trends, patterns, and insights from time series data via machine learning
Allow users to explore, forecast, and predict future business outcomes based on the data
