Delivering rapid, easy-to-understand insights with predictive analytics
Client: Fleet Management Company Team: SAP AppHaus Year: 2018 Project: Design-Led Innovation Consulting Tags: Data, Dashboards, Process Automations, Predictive Analytics/ML
OVERVIEW
Business Context:
Our customer is a fleet management company, whose clients include major utility and railway companies with hundreds of vehicles. Our customers’ key value proposition is to reduce the overhead and costs of maintaing these fleets.
SAP’s goal was to expand their account by positioning SAP as an innovation partner and proving the value of the Business Analytics Platform.
The Challenge:
How might we enable analysts and account executives to deliver meaningful insights in hours instead of weeks?
The Solution:
A predictive analytics dashboard that enabled non-technical account executives to deliver rapid insights to their clients without analysts’ input.
IMPACT
Automated 95% of data requests; experts could focus on most complex problems
Accelerated time-to-insights from weeks to minutes
Exceeded expectations:
“This is so intuitive, it could become a tool we can show directly to clients to answer questions about high spend.”
- Account Executive
Closed a $300K+ predictive analytics deal
HIGHLIGHTS
Combination of design fundamentals and advanced technology
to deliver a simpler, yet more powerful solution
Leverage design drivers to successfully address disparate user needs
Combine complex data with with plain-speak and tooltips to deliver value even when users don’t frequently use the tool
TOOLS, DELIVERABLES, ETC
TOOLS
FIGMA
POWERPOINT
SAP FIORI
SAP BUSINESS TECHNOLOGY PLATFORM
EXCEL
AXURE
DELIVERABLES
User Research Guide
Personas
Process Map
Refined Problem Statement
Design Drivers
Lo-Fi Prototypes
Hi-Fi Data Visualizations
Clickable Prototype
TEAM AND RESPONSIBILITIES
Me: lead design strategy and user research
Anthony: customer egnagement lead
Mina: visual design
James: technical strategy and implementation lead
John: SAP account executive
STEP-BY-STEP PROCESS
1 - User research and initial synthesis
Speaking with Account Executives at their desks helped clarify their actual need
Analyzing and critiquing existing toolSynthesizing until our brains melted!
2 - Research synthesis and share-out
Clarify stakeholder needsVisualize the status quo situation to see the greatest opportunity for improvement
3 - Refined focus to deliver most impact
Turning needs into execution-oriented principles that can infom design decisionsRefine the problem statement to deliver greatest business value
4 - Prototyping
Discussing initial UI sketches Low-fi prototype to understand major elements and layout Each chart was precisely developed to reflect the most important KPIsFinal design with interaction and tooltips to drive clarity5 - Final Proof-of-Concept Delivery