Personalizing Decision Intelligence with Augmented Analytics
The article discusses how Pyramid’s Decision Intelligence Platform uses augmented analytics—integrating AI-driven data preparation, business analytics, and data science in a unified, user-friendly interface—to personalize and simplify data access and decision-making for executives, middle managers, and frontline staff, overcoming traditional BI tools’ complexity and low adoption by tailoring analytics capabilities to user roles and enabling actionable insights without requiring technical expertise.
Many executives, middle-managers, and frontline staff face a decision-making conundrum: they want to make intelligent decisions based on data, but analytics tools are often not designed for them.
Executives are typically presented with reports or dashboards but cannot easily dig deeper without assistance from BI experts. Middle managers are motivated to use data but often lack the technical skills to manipulate it effectively. Frontline teams, though entrusted with decision-making and access to vast data, are business experts rather than data experts and can be overwhelmed by information overload. They need actionable insights, not exhaustive data training.
Despite significant investments in data and analytics, many organizations still struggle with low adoption rates of BI tools. This results in teams spending more time on repetitive, one-off requests rather than valuable, revenue-generating work. A key barrier is the lack of personalization in most BI tools, which often feature overcomplicated interfaces that do not cater to the majority of users.
A Tipping Point for Business Intelligence
Augmented analytics has the potential to transform this landscape. As part of Pyramid’s Decision Intelligence Platform, it combines data preparation, business analytics, and data science in a unified, point-and-click platform accessible to non-technical users. Unlike vendors offering separate tools, Pyramid provides a unified, AI-driven experience that streamlines personalization and encourages adoption.
Augmented analytics leverages artificial intelligence and machine learning to enable personalized, actionable data access for everyone in the organization, regardless of technical background.
Personalizing the analytics experience in augmented analytics involves:
- 1.Tailoring analytics capabilities based on user roles.
- 2.Customizing access to governed data and activating data prep and data science features.
- 3.Leveraging AI in a code-free, point-and-click UI.
- 4.Automating the delivery and format of custom reports, dashboards, visualizations, or alerts by role, or embedding them into daily-use systems and applications.
According to Forrester, only 1 in 5 organizations uses BI meaningfully today. The lack of personalization in BI platforms leads to underutilization. Personalization can make decision intelligence accessible to anyone, driving adoption beyond technical users and enabling seamless integration of data-driven decisions into daily processes.
Why Personalized Decision Intelligence Is So Important
Augmented analytics uses machine learning and AI to transform how analytics content is developed, consumed, and shared. This allows data and analytics leaders to personalize experiences for a wide range of users, many of whom may be engaging with organizational data resources for the first time.
Decision intelligence platforms can deliver relevant insights to various users through consumer-friendly features such as:
- Automated insights
- Data storytelling
- Catalogs
AI and ML also assist with data preparation, insight generation, model selection, and explanation, enabling governed self-service and interactive data engagement.
Adapting Tech to Humans, Not the Other Way Around
Pyramid’s Decision Intelligence Platform tailors the analytics environment to individuals, contrasting with traditional BI approaches that force users to adapt to software. AI-driven personalization in augmented analytics is becoming more sophisticated, supporting a wide range of activities and user personas, as identified by Forrester.
For example, business leaders could receive one-click explanations of performance drivers or use chatbots for conversational data queries, making analytics more interactive and accessible without requiring technical expertise. This reduces the burden on BI teams, freeing them to focus on higher-value work.
The Business Benefits of Personalized Decision Intelligence
In leading analytics environments, AI-driven guidance is integrated throughout the process—from modeling to discovery, visualization, and storytelling. Gartner’s 2022 Critical Capabilities report highlights Pyramid Analytics’ Decision Intelligence Platform as a leader in augmented analytics, characterized by:
- 1.Natural language query: Users can ask questions in everyday language, interacting with dashboards without needing to understand underlying data structures.
- 2.Automated insights: The platform identifies key attributes in datasets and generates actionable insights, such as narrative analyses that can be shared in reports or presentations.
- 3.Natural language generation: The platform creates dynamic, linguistically rich descriptions of insights, explaining key findings or data visualizations as users interact with data.
- 4.Data storytelling: Users can combine interactive visualizations with narrative techniques to share insights with other decision-makers.
Augmented analytics supports decision intelligence for individuals and teams, driving personalization and adoption of data-driven decision-making across organizations.
Leading Our Decision Intelligence Future
Analytics is evolving to serve anyone through personal discovery in a governed, self-service environment tailored to their role. The current economic climate demands faster, more informed decisions at all organizational levels. In the coming decade, organizations that embrace decision intelligence with augmented analytics will see higher adoption of data-driven decisions, enabling personalized, interactive experiences for non-technical users.
Pyramid Analytics, the Category Leader in Augmented Analytics
In 2022, Pyramid Analytics was recognized as the category leader for augmented analytics in Gartner’s annual Critical Capabilities report. Organizations worldwide rely on Pyramid Analytics for comprehensive analytics initiatives.