Augmented analytics uses AI to automate analytics workflows in platforms, contextualizing user interfaces with automated insights, generative storytelling explanations and collaborative exploration. Driven by machine learning (ML) and generative AI, augmented analytics enables natural language queries and personalized analytics catalogs. It democratizes advanced analytics with augmented data ingestion, data preparation, analytics content and DSML model development. It also curbs human biases and accelerates insights for diverse users.
Gartner defines the digital shelf analytics (DSA) market as applications that provide brands and manufacturers with data from third-party digital channels where their products are sold, such as online marketplaces and retailers’ digital commerce sites. DSA applications provide SaaS-based dashboards that deliver data about products and insights for product data optimization.
Gartner defines marketing mix modeling (MMM) solutions as services and software that help chief marketing officers (CMOs) plan future spend and measure past investment performance. MMM applies advanced statistical techniques to aggregate time-series data to quantify the holistic impact of marketing and optimize business outcomes such as sales or lead generation. MMM solutions acquire and normalize marketing data, build advanced statistical models based on that data, measure marketing performance, and deliver recommendations to improve spending effectiveness and efficiency. Results are delivered to marketers, media planners, and marketing and financial analysts via software and presentations. Marketing mix modeling solutions quantify the holistic impact of marketing. They account for business factors (like inventory availability or physical footprint) and external factors (like consumer perception, competitive activities or macroeconomic conditions), and attribute that impact to different channels or campaigns.
Social analytics is the process of collecting, measuring, analyzing and interpreting the results of interactions and associations among people, topics and ideas from social media sources. This market examines social analytics solutions covering social filtering, text analytics, sentiment analysis, image analysis and public-facing social media analytics. It focuses on solutions that derive at least 60% of their revenue from software versus solutions that are mainly based on consulting services.