Augmented Analytics
Make Informed Decisions Faster with Augmented Analytics
What Augmented Analytics Unlocks for Your Business
Contextual and Guided Analysis
These tools offer contextual insights and guided experiences, helping users explore data trends and anomalies more deeply. By providing a structured approach to data exploration, augmented analytics enhances users' understanding, curbs human biases, and accelerates decision-making capabilities.
Enables Collaboration
Augmented analytics integrates with digital workplace applications, encouraging collaboration and the sharing of insights. It is a key enabler of collaboration across many users, including analytics developers, business analysts, augmented consumers, and data scientists. The democratization of capabilities, including capabilities from the data science and machine learning (DSML) market, allows everyone to access analytics.
ROLES WORKING TOGETHER
Data & Analysis Adoption for the Augmented Consumer
Augmented consumers want and need a proactive, push-based delivery of intelligence driven by context – such as interests, changes in KPIs, business decisions, and recommendations. The discipline around the composable enterprise will enable composable data & analysis to augment the consumer and business analyst.
Boosts Innovation
Augmented Analytics enables composability, which is the essential characteristic of data and analytics offerings, allowing organizations to quickly assemble prebuilt components instead of building and maintaining their custom applications. This provides the agility to enable sufficient innovation in augmented data management and analysis.
