The AI-powered Data Migration Tool automates legacy-to-modern data transfer, reducing manual effort, costs, and migration time by 50%, ensuring a faster, seamless transition with minimal developer workload.

My role

Lead end-to-end process, established brand, conducted UX research, developed scalable design systems, and ensured delivery.

Team

3 UX designers, 3 UI designers

Duration

8 weeks

Tools used

Axure, Confluence, miro, Jira, Sketch, Zeplin, Invision

Project context

Organizations worldwide are migrating from legacy systems to modern platforms, but the data migration process is complex, costly, and time-consuming, leading to business losses and reduced ROI. Deloitte Digital aimed to enable secure and efficient migration for its Fortune 500 clients, but existing methods were manual, slow, and error-prone.

A laptop displaying a project management or data analysis software with a circular graph on a white textured surface against a plain white background.

Our team conducted a design exercise to improve the migration process with an affordable data structure and better user experience. We identified key loopholes in usability, architecture, and efficiency, which hindered ROI. By automating and optimizing the process, we reduced manual complexity, costs, and delays, ensuring a seamless transition to advanced platforms.

Strategic Design Approach

Every design challenge requires a tailored process approach to identify key problems early and integrate continuous user feedback. Our design framework enabled us to tackle critical business questions through prototyping, testing, and stakeholder collaboration, ensuring efficient problem-solving within a defined timeframe.

Adaptive Process

Customized approach to fit unique project needs.

A consolidated project planning view helped the team adopt an agile approach, streamlining project deliveries within the stipulated time.

Early Problem Identification

Defined strategy to detect issues at the right phase.

To ensure a user-centric and seamless data migration process, we conducted a hybrid workshop involving both legacy and new system users along with key stakeholders. The workshop followed the 4C’s framework - Collect, Choose, Create, and Commit- to structure insights effectively

User-Centric Testing

Continuous feedback loops, including stakeholders, to prevent future project bottlenecks.

Agile Execution

Structured planning for timely and efficient project delivery.

A project timeline chart showing scheduled tasks and durations from mid-July to early August, with color-coded tasks highlighting phases like research, design, testing, and feedback.

User workshop

In-Person Session (Qualitative Research)

Open-ended discussions to uncover user pain points, latent needs, and emotional experiences during migration.

Online Survey (Quantitative Research)

Close-ended questions to analyze project statistics and high-level problem scope.

Client workshop session
Workshop report titled 'Qualitative Data' with sections on challenges, user satisfaction, UI improvements, automation, security, and workflow optimization; with key statistics showing high user monitoring, project delays, and user experience improvements.

Insight

87% of users monitor migrations on weekends, 92% of projects face delays, and 70% of the workload falls on process leads. With 95% of users struggling due to an Excel background, automation, role optimization, and a more intuitive user interface are critical.

User study

This project integrated both legacy and new platforms, requiring a user-focused strategy. We categorized users into distinct segments based on their use cases, enabling a multi-persona product-building approach.

Through research insights and stakeholder collaboration, we developed a success matrix, aligning design value with business goals. This framework not only defined the project’s value proposition but also measured the ROI of design solutions, ensuring strategic impact and user-driven outcomes.

A detailed user study infographic with profiles of two individuals, Sophia Jones and Daniel Smith, including their responsibilities, challenges, goals, and project details. Contains a timeline with colored sections labeled Security onboarding, Project creation, Data migration, and Workshop, including tasks, needs, pains, touchpoints, customer feelings represented by emojis, backstory, opportunities, process ownership, and photographs of the individuals.

Insight

The study revealed delays in requirement gathering, reliance on process leads, and slow access to key functions, highlighting the need for automation, structured workflows, and system flexibility to improve efficiency.

A visual diagram titled 'Success matrix' displaying six gray boxes with black text, arranged in three rows and two columns, explaining key concepts related to automation, efficiency, and productivity.

Design Evolution

The journey began with user journey mapping to uncover key pain points, followed by quick prototyping and iterative feedback loops to refine solutions. Using an MVP approach, we continuously improved based on user insights.

Flowchart diagram titled 'Information Architecture' outlining steps in project management, including login, profile, project selection, project stages, analysis, and project completion with related notes on procedures and responsibilities.

Stakeholder collaboration ensured validation, trust, and seamless execution, aligning with business goals and user expectations.

Screenshot of a web interface for data analysis, showing a tab labeled 'Business Process' with columns for Module, Migrate, Transform, and Organic, and rows with different modules and their respective percentages. There is a blue 'Upload' button and a navigation sidebar with options such as Setup, As is Analysis, Organic Heat Map, Create Core, Clean Core, Up Grade, Simplify, and Transformation.
Screenshot of a web interface displaying data quality assessment results for different data types, with colored indicators showing percentages for completeness, conformance, consistency, integrity, and uniqueness, and a navigation menu at the top.
Screenshot of a software dashboard showing the 'As is Analysis' stage, with tabs for Business Process, Technical Dept, Infrastructure, Value, Data, and Interface Scanner, featuring a Material Master table with details on material numbers, types, descriptions, and record counts.

Insight & Design Decision

Navigation was key! Recognizing two distinct personas—admins and process leads—I mapped the workflow to ensure role-based navigation and timely communication. To streamline operations, I compartmentalized the workflow into administration & project management and data migration, ensuring seamless connectivity and responsibility alignment.

Design System Approach & Accessibility Parameters

To ensure consistency, efficiency, and scalability, I implemented an Atomic Design approach, building from small elements to complex components. The system adhered to Deloitte’s branding guidelines while maintaining a unique, modern look.

Designed for developer efficiency, it was first created in InVision and later transferred to Zeplin with code support for seamless integration.

An infographic titled 'Key Design Principles' displaying five principles: Colors, Scalability, Hierarchy, Consistency, and Cognitive Load. Each principle has an icon and a brief description.

Style Guide

Following WCGA guidelines, we conducted brightness, contrast, and color tests to ensure optimal textual and non-textual visibility. A meticulously crafted style guide was developed to maintain scalability, consistency, and accessibility, aligning with pixel-perfect implementation and high-quality design standards.

Comparison chart from a contrast checker tool showing four different color contrast tests with color swatches and contrast ratios, each with specific accessibility compliance indicators.
A digital user interface with a header titled 'Selective Transformation' and a progression bar showing four steps, with the current step marked as 'Im still working'. The interface features color swatches labeled 'These Are My Colours', a section called 'This Is My Colour Behaviour' with various icons, and a section 'We Are Family' with font and icon style details. It shows a warning message and includes a search bar, social notifications, a profile picture, and a content area with a headline and a form filled with sample text and buttons.
Screenshots of a project management software interface, including profile creation, project setup, dashboard views with analytics, customization options, migration process charts, and workshop planning screens.

Impact

The Data Migration Tool project exemplifies a strategic approach to modernizing enterprise systems. By focusing on migrating only essential data and processes, the project not only streamlined operations but also minimized unnecessary complexities. This targeted methodology has enhanced operational efficiency and aligned seamlessly with business objectives.

Final Thoughts

Design value

Post-implementation feedback indicates a significant reduction in manual workloads and improved user satisfaction. The design’s impact was assessed through user surveys and performance metrics, revealing:

The project’s success is highlighted by its feature on Deloitte’s official website, underscoring its significance and impact. The tool’s ability to facilitate a rapid transition to SAP S/4HANA on Google Cloud, potentially in as little as 16 weeks, showcases its efficiency and effectiveness.

50% decrease in manual data handling tasks

Users reported spending less time on manual interventions, allowing them to focus on more strategic activities.

40% improvement in data processing speed

The automation capabilities of the tool accelerated data migration processes, leading to faster project completions.

35% reduction in error rates

Enhanced accuracy in data migration minimized errors, contributing to more reliable system operations.

Learnings

Role-Based Navigation

Designed a dual-persona system for admins and process leads, ensuring shared structure with distinct responsibilities.

Scalable Workflow Design

Compartmentalized the process into administration & project management and data migration, enhancing clarity and scalability.

Early Prototyping Saves Costs

Iterative user feedback loops helped refine flows before development, preventing expensive reworks.

Achievements

Selective Data Migration

Leveraged AI-driven analytics to migrate only critical data, reducing time, cost, and system complexity.