Taking decision making from BI to AI
With the emphasis on enabling greater analytic maturity, through breakthrough usability and better decisions, Human Engineering focuses on bridging the gap between technology barriers and human usability through people, role and process-centric user design.
The object of Human Engineering is to make BI more usable to end consumers of analytics and decision makers through best practices and approaches in analytic processes. These capabilities result in transforming your organization's attitude and behavior towards fact based decision making, eventually resulting in a cultural shift that sees the usage analytics for strategic advantage.
Key enabling capabilities in Human engineering
The implementation of Human Engineering facilitates the enhancement of user interaction to enable a hassle-free business analytic process. The following easy-to-use and easily adaptable features allows you to leverage this necessity.
- Role-based analytics
- Guided analytics & learning systems
- Intuitive user design
- Collaborative decision making
- Self-service capabilities
Key applications
Human Engineering is more focused on making BI the human process that it is. Few examples are:
Q&A: An intuitive user design with more emphasis on human language than mathematical based on a pre-built context based question bank incorporating greater usability for larger enterprises. With features including downloadable detailed reports, it is ideal for search-and-publish applications.
Dynamic search and auto suggest: These features enable you to interpret reports and go beyond facts and figures through search and explore capabilities.
Self-service: It offers a dynamic and interactive portal configuration wherein all components are available through a common wizard integrated with BI and non-BI enterprise information like data sync status, new product launches, new store launches, promotion calendar and much more. All answers at your fingertips.
Storyboarding: It is an interactive feature that embraces cross-pollination of analytic best practices and helps to capture a collection of role-based scenarios and decision processes. It features capabilities to record and playback analytic processes multi-report analysis process, filter parameter and selections, drill paths, views and KPI activities like setting of filters, analysis etc, and export it to a PPT document. This tool also enables future playback of the recorded activities to be used for reference, training and collaboration.
See-also linked KPI suggestions: The Guided Analytics feature drives users to explore all perspectives of a related analysis through pre-built and easily customizable scenarios. It enables a comprehensive analysis process and accelerates learning through best practices and suggestions to ensure the best possible decisions are taken.
Sticky notes: Enhanced features like dynamic tool tips for measuring calculations, easy lookup available at all times, user-based personalization and keyboard shortcuts, helps speed up interaction time for familiar users.