Over the past few years, the number of data pipelines feeding into analytical data stores have substantially increased to support an ever-broader set of business needs. This shift pressures organizations to invest in technologies to manage and analyze time series data.
Traditional statistical tools struggle to leverage multivariate inputs, uncover actionable insights and make an impact on actual business operations. This IDC Solution Spotlight examines how automated machine learning tools can augment the analysis, modeling, and prediction of time series data to deliver easily understood and actionable insights for businesses in a simple and agile fashion.
