Migrate smarter. Optimise faster.

We help you migrate your data infrastructure with confidence, for more reliable data, lower costs, and a future-ready analytics stack.

When does data migration makes sense?

The world of data doesn’t stand still. What worked three years ago might now be slow, unreliable, or too expensive to maintain. With new tools offering faster performance, more automation, and built-in security and governance, many organisations hit a tipping point where change becomes not only necessary, but smart.

Whether you’re outgrowing your current stack, facing rising costs, or finally ready to get off legacy systems, a platform migration can help you:

  • Work more efficiently and securely

  • Gain more reliable, centralised insights

  • Lower your operational and cloud costs

  • Align your infrastructure with your future goals

And you don’t have to figure it out alone, we at  i-spark are here to guide you.

The migration process

Your migration. Done right, step by step.


1. Preparation
- Infrastructure audit
- Platform selection
- Roadmap design

2. Migration Execution
- Data source migration
- Adjusting code, logic, and dialects across platforms.
- New data model

3. Continuity & Integrity
Data validation
No disruption

4. Dashboards & Activation
- Report migration
- Activation tools

We support you throughout the entire process: from planning to execution and post-migration optimisation.

Cost optimisation

We help you optimise it for performance and cost-efficiency:



- Configure warehouse and query settings for cost control

- Monitor usage to eliminate waste or unnecessary load

- Recommend licensing and tool adjustments based on actual usage

- Help internal teams ramp up quickly with documentation and onboarding

Even if your migration was handled by another party, we’re happy to review, optimise, or scale it further. Your infrastructure should work for your business , not the other way around.

We’re here to answer all your questions

Questions we often hear about data migration

Signs include increasing performance issues, rising cloud or tooling costs, difficulty integrating new sources, and outdated dashboards or broken workflows. If your team spends more time fixing than analysing, it’s time to consider migrating to a more modern, composable stack.

That’s where we start. We begin every migration project with a discovery and design phase, assessing your current infrastructure, future goals, team skills, and budget. Based on this, we help you choose the right combination of tools (e.g. Snowflake, Databricks, BigQuery, dbt Cloud, etc.).

We rebuild or adapt your dashboards (e.g. in Looker, Power BI, Klipfolio) so they remain functional and reflect accurate data. We also align metric definitions and KPIs to avoid discrepancies. This way, business continuity is preserved.

Our process is designed to maintain continuity. We migrate in stages, test everything, and validate data before switching over. Your day-to-day operations won’t be disrupted  and you’ll have full visibility throughout.

Absolutely. We prioritise usability and self-service wherever possible. We also provide documentation, onboarding, and training so your analysts, engineers, or business users can work confidently with the new stack.

That’s no problem. We can act as an extension of your team with our Data team as a service, helping you set up the pipelines, monitor them, and train if needed. 

You’ve built the data. Let’s give It the space it deserves!

If your infrastructure is slowing you down, it’s time for a change. We’ll help you transition smoothly and optimise along the way.