Commercial Analytics for Buying Teams

IDS migrated the QlikView estate to Qlik Sense, rebuilding the semantic layer with a governed self-service model — buyers could explore sell-through, stock cover, and markdown impact themselves, without waiting on the BI team for every new cut.

Client

A multi-brand fashion retailer

Services provided

About the project

Our solution

The Customer: Who they are

A multi-brand fashion retailer whose buying teams made assortment and pricing decisions off weekly static reports.

The Challenge: Identifying the villain

By the time a QlikView report reached a buyer’s inbox, the sell-through data was already several days stale — a real cost in a business where trend cycles move in weeks. “We were making buying calls on last week’s story,” said the Head of Commercial Analytics.

The Journey: The search for a solution

The retailer considered simply upgrading QlikView licenses, but the platform’s ageing architecture couldn’t support the near-real-time refresh rates the buying team needed.

The Discovery: Finding IDS

IDS was engaged after the retailer’s IT director attended a webinar on BI platform migrations and recognized the QlikView-to-Qlik-Sense path as directly relevant.

The Solution: The hero arrives

IDS migrated the QlikView estate to Qlik Sense, rebuilding the semantic layer with a governed self-service model — buyers could explore sell-through, stock cover, and markdown impact themselves, without waiting on the BI team for every new cut.

The Implementation: The battle

Migration ran brand-by-brand to limit disruption during peak trading periods, with training embedded at each rollout wave so buyers adopted self-service rather than reverting to their old static reports. The obstacle: several legacy QlikView apps had no documented data model; IDS reconstructed logic through interviews with the original report owners.

The Results: The happy ending

  • Report refresh: weekly → daily
  • Buyer-led analysis requests to the BI team: down 40%
  • Time to identify a markdown opportunity: days → hours
  • Self-service adoption across buying teams: 80%+ within one quarter

“We’re reacting to trends in days, not weeks.” — Head of Commercial Analytics

Technologies used: Qlik Sense · QlikView (migration source)

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