Migrate from Legacy BI to Power BI. Fast, Proven, Done Right
Cut migration time by 50% and retire legacy BI costs. Build Power BI right from the start.
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We already know we'll also want to install these devices in showrooms in Prague and Bratislava because the data shows us a lower percentage of female visitors than male. We need to check whether this is due to a difference in the market, or whether it's data we've gained only from published documents that distort the truth, while reality is different.
Jan Moudřík
Director of Expansion
Alza.cz
We started with unified reporting in 2019. Today, more than 5,500 users at Škoda use Power BI, generating hundreds of reports. These allow monitoring of daily production, planning, and personnel capacities at all management levels.
Lukas Jac
Project Coordinator
Skoda Auto
I wanted to acknowledge with recognition that the consulting services that we have received from Adastra thus far are in the upper tier of our expectations and we've been quite pleased with our relationship.
Director, Data and Digitalization
Canadian Energy and Utility Company
Data migration is a team effort, whether within an internal team or with partners, because few companies have an internal team strong enough to handle it alone. That’s why, out of all X partners, we chose Adastra — for us, they are a key partner with deep expertise in data. Additionally, I am someone who values a human and informal communication style, which we have with Adastra.
Václav Dorazil
VP of Data & Digitalisation
Eurowag
The results were transformational. The system integration timeline was reduced from 12 months to just 16 weeks, enabling us to seamlessly absorb new acquisitions. Our business grew significantly, supported by scalable and reliable infrastructure. We now have synchronized and validated master data across all systems, ensuring high-quality and consistent information for critical business operations.
Jeremie Loudet
Application Manager
Fleet Complete
We improved data quality by 24% using machine learning to identify errors, like mislabeled spare parts. We visualize these issues in Power BI for immediate correction.
Stefan Lautenschlager
Head of Business Intelligence and Analytics
NETZSCH
The IT reporting solution developed by Adastra provides the VW Group with a structured, scalable and automated technical foundation for planning, reporting, and data processing - combined with modern agile and DevOps practices.
Alexis Goss
IT Product Owner
Volkswagen
Adastra helped us take a broader perspective around our analytics platform. Their team of experts established and implemented a future-proof architecture that enables us to scale our Power BI platform across all Magna divisions globally.
Stefan Tropper
Director, B2B & Solutions
Magna
Cut Migration Time in Half. Eliminate Legacy BI Costs.
Assessment in 4-6 weeks, foundation in 8-10 weeks, then wave‑based implementation. Our accelerators reduce discovery by 66% and assessment by 75%, with report parity, governance, and a decommissioning plan.
The Problem We Solve
Legacy BI licensing and carryover costs keep rising.
- Report complexity makes timelines and budgets uncertain.
- Downtime, data mismatches, and performance risks block adoption.
- Self‑serve analytics sprawl without governance exposes security gaps.
What You Get in the First 90 Days
- Complete environment visibility: inventory of reports, datasets, users, groups; refresh schedules and access controls.
- Target state design: architecture, capacity sizing, RLS/OLS strategy, deployment pipelines.
- Pilot migrated end‑to‑end: one domain with 10–15 priority reports, validated for functional parity and performance.
- Executive‑ready plan: TCO roadmap, throughput per wave, and decommission criteria for legacy BI.
How We Cut Time and Effort
Discovery
Assessment
Semantic Model Development
Report Development
Get Complete Environment Visibility. Fast.
Full inventory of reports, datasets, users, refreshes, and dependencies to baseline scope and effort.
Why Adastra? Get It Right from the Start
Recognized by leading cloud providers for AI and data excellence.
years of full‑stack, end‑to‑end Microsoft delivery across data, analytics, and apps
Professionals delivering in 40+ countries and 20+ languages.
Microsoft professionals with Advanced Specializations in Data & AI, Infrastructure, and Digital & App Innovation
Our Framework
1. Assess
- Automated discovery, gap analysis, target architecture, capacity approach, and a costed migration roadmap with throughput.
4-6 weeks
2. Foundation
- Tenant setup, deployment pipelines, pilot migration, performance baselines, and reusable standards/templates.
8-10 weeks
3. Implement
- Prioritized domains, conversion and modernization, CoE enablement, training, and legacy BI decommissioning.
20+ weeks
Ready to Get Power BI right From the Start?
Book a 45-minute assessment to scope your estate, confirm throughput, size capacity, and map a 6-8 week pilot with ≥90% functional match.
What Success Looks Like?
Legacy Licensing Savings
Faster Decision Making
Lower TCO
Adoption Metrics
Success Stories
Automotive Parts Manufacturer
Adastra developed an AI-based inventory control system to optimize the inventory without running out of stock.
Global Manufacturing Company
The client partnered with Adastra to modernize their data estate and implement advanced analytics using Microsoft’s Power Platform.
Automotive Company
Adastra’s tailored solution allows the global automotive manufacturer to cut energy costs and gain outstanding monetary and sustainability-related benefits.
Philip Morris
Adastra assisted Philip Morris to automate their data consolidation process, previously managed through manual Excel files.
Energy and Utility Company
Our client partnered with Adastra to implement an Azure enterprise data service platform using Azure Synapse and create a cloud-focused data governance roadmap.
International Development Research Centre (IDRC)
Adastra implemented an Azure-based solution that ensures seamless integration of all analytic services through Synapse and provides an online, modern reporting.
Move to Power BI in Half the Time
Let’s review your current reports and licenses and plan a Power BI migration that retires legacy costs and is built right from the start.
Power BI Migration FAQ
No. Migration waves run in parallel, and your legacy BI platform stays live until each migrated scope passes user acceptance testing, functional match checks and performance thresholds. We schedule cutovers to avoid disruption to your business. Your users keep working with their existing reports until the new Power BI version is validated and approved.
We run automated reconciliations on row counts, totals and key measures, with documented tolerances agreed in advance. Any exceptions are triaged, fixed and tested again. You receive a validation report that shows the results, so your business owners can confirm that the numbers in Power BI match the legacy reports before go-live.
We redesign it to Power BI best practices, for example by reworking complex logic, and document the reasons and any changes. You review and approve the redesigned report before go-live. Our conversion utilities and an AI-assisted approach handle much of the standard work, so our experts can focus their time on the reports that need redesign.
No. We hand over all artifacts, models, templates and documentation. We also establish your Center of Excellence (CoE) processes and complete knowledge transfer, so your team can run and extend Power BI on its own. There is no proprietary lock-in, and you stay free to choose how you support the platform in the future.
We set foundation guardrails before scaling: semantic model templates, star schema standards, naming conventions and a DAX style guide. CI/CD pipelines, workspace topology, performance baselines and monitoring are in place before the main migration starts. Clear wave gates and acceptance criteria keep quality consistent as more reports and domains move to Power BI.
After the assessment, you receive a phase-by-phase estimate with throughput assumptions and complexity tiers. It includes a capacity sizing approach with cost bands and a decommissioning savings model that shows when legacy licensing costs end. You can choose between fixed-price and time and materials (T&M) options, depending on how you prefer to manage scope and budget.
Our framework starts with an assessment of four to six weeks, followed by a foundation phase of eight to ten weeks. Implementation then runs in waves over 20+ weeks, depending on the size of your estate. Our accelerators can cut overall migration time by 50%, and a 45-minute call is enough to scope your estate and plan a pilot.
Automated inventory and metadata extraction reduce discovery effort by 66%. Usage-based scoring and complexity tiers cut assessment effort by 75%. Standards and reusable templates reduce semantic model development by 20%, and conversion utilities with an AI-assisted approach reduce report development by 10%. Together, these savings shorten timelines and lower the cost of your migration.
