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Predictive analytics dashboard for fleet management

OVERVIEW

IMPACT

HIGHLIGHTS

TOOLS, DELIVERABLES, ETC

STEP-BY-STEP PROCESS


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 tool
Synthesizing until our brains melted!


2 - Research synthesis and share-out


Clarify stakeholder needs
Visualize 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 decisions
Refine 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 KPIs
Final design with interaction and tooltips to drive clarity
5 - Final Proof-of-Concept Delivery







Elisa Mirkil
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