Hopp excels at an agile, step-by-step approach to data migration.

Approach And Process System

Our data migration solution ensures everything works smoothly as you add and enhance business features.

Benefits of Our Data Migration Approach

We serve as your dynamic data bridge that allows you to progressively map, transform, and validate your data with ease.

With Hopp’s carefully crafted data migration process, no need to worry about difficulties or delays during the journey. 

Green Background data migration methodology

Control the Process

We challenge traditional methods with our agile development model. Split into sprints, it ensures ongoing, incremental improvements. This model puts you in control, letting you flexibly scope, plan, execute, and document your data migration choices and tasks.

Avoid Failure

In our agile process, we mitigate common data migration challenges like lack of resources, time, tools, and data quality. We use a proven data migration methodology that outperforms traditional IT development or ETL approaches. 

Green Background data migration process flow

Tackle Challenges

Data migrations are challenging due to outdated, large, fragmented systems, and uncertain new system requirements. With our approach, we not only handle these challenges but identify and resolve issues early to avoid delays.

Kickstart your efficient, seamless data migration with Hopp

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data migration phases

Components that Simplify Hopp’s Data Migration Process

Complex data migration doesn’t have to be hard. For success, our powerful software features handle migration tasks while keeping the process simple, transparent, and intuitive.

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  • Studio

    Defines the logical step— the data migration specification.

    Studio sets up data structures, rules, and content as needed by the target system. Hopp then works backwards from the system’s data requirements to the source system’s existing data structures, making sure everything fits perfectly.

    Studio

  • Core

    Moves the physical data from source to target—the data migration execution.

    Using Studio’s logical specifications, Core generates code to extract, transform, and load data, ensuring a seamless fit into your target system.

    Core

  • Portal

    Allows monitoring and managing the data flow and results.

    With Portal, you get access to job monitoring, transformation review, and adjustment capabilities, along with project management and reporting tools.

    Portal

Why Hopp?

Team-friendly process

Hopp’s process is team-oriented. We focus on agility and cross-functional teams working in tandem to address changing needs. We foster collaboration, enabling stakeholders to actively participate in the data migration process, thereby greatly enhancing everyone's confidence in the quality of the migration result.

Incremental Approach

Hopp helps your project take small steps. Begin by mapping a bit of your data and then keep building on that. With each step, your data migration project gets better, guaranteeing consistent quality and coverage.

White Background Data migration team gathering

Agile Data Migration Lifecycle

Structured, industrialized, and efficient data migration.

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Enhanced Data Quality Graphic

Agile

It's a broad term for modern project management methods that use short work cycles, known as sprints. During each sprint, teams define, build, test, and release smaller project parts.

VS.

Waterfall

It’s the traditional way of managing projects, which proceeds one step at a time: first define, then build, test, and finally release project parts. There’s no way to go back to earlier phases once the project has been completed.

Why the Agile Approach is Better for Your Data Migration Project

Hopp Empowers teams

Empower teams

Why do complex data migrations often fail? The answer: a lack of awareness, resources, time, tools, and data quality. Agile methodologies empower teams with continuous feedback, delivery, and improvement in an evolving landscape. 

BENEFITS OF AGILE DATA MIGRATION

  • Avoid Struggles

    Most often, the traditional waterfall approach doesn’t work for data migrations. The source systems pose challenges due to their extensive size, fragmented structure, lack of documentation, and complexity. Thus, the agile approach can deal with all of the struggles

  • Immediate Issue Handling

    In the agile data migration approach, development steps (sprints) match a clear vision and feature list. It also means coding fits into an overall plan, making automated delivery easier.

  • Adaptability

    The goal is to provide working versions of the moved data that work with the main program's development and testing schedule. This means that the data transformation project can use an agile method, even though the main program is using a waterfall method.

  • Refined Data

    Agile data migration, made possible by tools like Hopp, incorporates robust validation and cross-reference capabilities within the mapping process, ensuring consistent data quality and integrity.

  • Efficient Rules Development

    The user stories should focus on refining the specifics of extract and transformation rules. Hopp software allows for creating a stable environment for the agile development of these rules.

Software Approach Screen Shots

How Hopp Software Supports Agile

Thanks to Hopp software, the data migration project teams have a defined architecture and significant automation to operate in an agile manner.

Hopp Architecture & Information

Architecture and Automation

Hopp provides the essential architecture and automation, allowing data migration teams to adopt an agile approach effectively. 

Hopp Dynamic requirements Handling

Dynamic Requirements Handling

Traditional tools often struggle with changing requirements, leading to delays and misalignments. Hopp facilitates fast and agile changes and ensures consistency between mapping and implementation. 

Faqs

Yes, definitely. This software component is made to work with rules of all levels of complexity, so developers can implement rules that fit the needs and details of their projects.

Regular feedback loops, open communication, and ongoing contact between stakeholders are all parts of agile data migration that make it easier for people to work together and ensure that changing business goals are met.

Hopp's architecture is designed to scale, accommodating the complexities of large-scale data migration projects. It leverages automation and adaptability to handle increased data volumes effectively.

Yes, custom transformation rules can be added to Hopp. This makes it possible to adapt the migration process to specific business needs and data complexity.

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