Customer Journey

solvoyo wait

3 primary steps to configure
Solvoyo technology platform:

solvoyo-map

Onboarding

3-4 Month
Discovery & Conceptual Design
Discovery-Conceptual-Design
Data Integration & Validation
Data-Integration-Validation
Model & UI Configuration
Model-UI-Configuration

UAT

1-2 Month
Training & User Testing
Training-User-Testing

Go-Live

Ongoing
Continuous KPI Tracking
Continuous-KPI-Tracking​
way

Onboarding

3-4 Month
Discovery & Conceptual Design
Data Integration & Validation
Data Integration & Validation
Discovery & Conceptual Design
Model & UI Configuration
Model & UI Configuration

UAT

1-2 Month
Training & User Testing
Go-Live

Go-Live

Ongoing
Continuous KPI Tracking
Continuous KPI Tracking

1. On-boarding

This is where we listen and understand the business issues, the goals, and the objectives. This results in the project scope and the corresponding project plan. Then, in close coordination with you, we build a data highway between your data sources and your dedicated cloud-based digital platform. Our comprehensive single data model and industry/sector-specific templates make it extremely easy and fast to link to your data sources, whether within the enterprise and at your customers and suppliers. Based on the scope, we configure the platform for visibility, analytics, planning, and reporting process measures/KPIs for 360-degree feedback.

2. User Acceptance Testing

‍This is when you test the fully-configured platform and assess its capabilities based on predefined acceptance criteria. Some clients prefer to use the platform in parallel with their existing systems during the UAT. Before and after the UAT step, Solvoyo provides training for expert users and SMEs. Our friendly user interface and meticulously-designed user experience make training fast and easy.

3. Go-live

This is when you use the platform to support business decisions, track the performance of your actions, and take the step towards being a trustworthy learning organization. The 360-degree feedback loop also has digital performance data to help our Machine Learning algorithms improve their performance and prepare us for our periodic business reviews.

Step 1

Assess Operations​

Assess
Operations

Interview SMEs
Refine Requirements
Sign-Off: Conceptual Design & Project Plan

Step 2

Validate Data Model​

Validate
Data Model

Define, Collect & Cleanse Data
Design Integration & Automation

Step 3

Build Platform​

Build
Platform

Configure Initial Version
Check Internal Consistency Of data
Close Gaps In Data

Step 4

Validate Platform​

Validate
Platform

Validate Process & Capabilities
Finalize Integration & Automation
Design UAT
Sign-Off: Validation Report

Step 5

Acceptance Tests & Go Live​

Acceptance Tests & Go Live

Conduct UAT And Training
Refine Platform
Sign-Off: Close Project
Go Live