Can I move from Qlik to Power BI without working everything out again?

Yes. We first extract the logic from your load scripts, set analysis and QVD flows and capture it in an open semantic layer. You rebuild in Power BI from documented definitions instead of reverse engineering every dashboard.

What happens to our set analysis?

Set analysis often holds the sharpest business rules. We record every expression, describe what it does and translate it into a definition in the semantic layer, so it can be rebuilt in DAX, SQL or another platform.

Do we have to choose between Qlik Cloud and another platform first?

No. The Logic Scan shows what lives in your environment and what a move would cost. Then you choose: stay, move to Qlik Cloud or move to another platform.

QlikView · Qlik Sense · Qlik Cloud

Leaving Qlik? Take your logic with you, not just your dashboards.

Capacity-based licensing and Qlik's push to the cloud force a decision. We extract the logic from your load scripts and set analysis, so you decide with your business rules in hand, not just your dashboards.

Book a Logic Scan for Qlik

Starts with a free 30-minute intake call.

Capacity licensing

New licence models at renewal

Qlik Cloud

Qlik's course towards SaaS

Load scripts

Years of logic that only Qlik can read

What we extract

What we take out of Qlik

Every object that carries logic is read, linked to what depends on it, and checked for use.

Load scripts
The ETL inside Qlik: how data is loaded, joined and transformed.
Set analysis expressions
The filters and comparisons behind your KPIs, often the sharpest business rules.
QVD files
Intermediate files and the chains between them, including what is no longer used.
Master items (dimensions and measures)
The reusable definitions in your apps, compared across apps.
Variables
Values that run through scripts and expressions, such as year and period.
Section access
Who may see which data, so permissions move correctly.

What you get

AI-native migration: more than new dashboards

Your logic leaves the old platform as something you own, can read and can query.

Knowledge graph

Every table, procedure, report and relationship in one searchable graph.

Semantic layer in Apache Ossie

Your metrics and dimensions in an open standard, not locked in a tool.

MCP endpoint

Query your logic with Claude, ChatGPT or Copilot.

Plain-language documentation

What every report does and where its numbers come from.

Dead and duplicate objects

What is no longer used does not move.

Reconciliation report

Proof that your core KPIs match the old report.

Optional: a rebuild on Power BI or Fabric, dbt with Omni, or Snowflake and Databricks.

The result is a semantic layer your BI tools and AI agents share. Choosing one? Read dbt Semantic Layer vs Cube and the Open Semantic Interchange guide. How we expose it to AI: MCP-driven data consulting.

Curious what's in your environment? The Logic Scan shows you in 5 working days.

Book a Logic Scan for Qlik

Who does the work

One specialist for Qlik

Andreea Urzica, 12 years of experience with Qlik, data strategy and governance. One fixed point of contact who signs off on the reconciliation.

Proof

What it looks like

“Which reports use finance's revenue definition?”

Apache Ossie

metrics:
  - name: net_revenue
    expression: SUM(amount_excl_vat)
    filters:
      - is_intercompany = false
      - is_credit_note = false
    owner: finance
    source: Revenue.qvs

Case

Example

Healthcare organisation, 600 employees

96 objects (band M) · Logic Scan in 5 working days, Logic Extract in 3 weeks