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BIWise A/S

BIWise A/S

Verified

Transforming data into business value for Danish enterprises

Copenhagen, Denmark 16 – 50 consultants Website 4.9 preview

About

Services

BI & Data Analytics Artificial Intelligence IT Strategy Digital Transformation Change Management

Industries

Financial Services Manufacturing Public Sector Technology / SaaS Energy & Utilities Professional Services

Highlighted Case Stories

professional_services

SAS-to-Modern-Platform Migration for Enterprise Client

Challenge

A large enterprise was running critical data and analytics processes on a legacy SAS Institute platform. The organisation needed to migrate…

Outcome

The client successfully decommissioned its legacy SAS environment and transitioned to a modern data platform, with staf…

technology_saas

Agentic AI Workflow Assessment and Roadmap

Challenge

A client wanted to explore AI automation but lacked clarity on which of their business processes were genuinely suitable candidates for Age…

Outcome

The client emerged with a concrete, prioritised action plan identifying the highest-value AI automation opportunities a…

Completed Project Reviews

Avg. project size
~125,000 DKK
Typical engagement
2 – 6 months
Client value rating
4.9 / 5.0

BIWise engages as a hands-on strategic partner rather than a distant advisor, bringing senior consultants who hold deep fluency across both legacy and modern data environments. Clients consistently highlight the firm's ability to bridge the gap between IT and business stakeholders — translating technical complexity into governance frameworks, migration roadmaps, and AI readiness plans that decision-makers can act on. Their structured methodologies, particularly around platform migration and data quality, give organisations a clear path through what would otherwise be high-risk, high-disruption programmes. The combination of boutique accountability and access to the broader TheVIT Nordic network means clients get focused expertise without sacrificing delivery capacity.

Common project types

BI & Data Analytics Artificial Intelligence IT Strategy Digital Transformation Change Management

Review Insights

Top mentions

Data governance & ownership 14x Platform migration expertise 11x Stakeholder alignment across IT and business 9x Structured, methodology-driven delivery 7x
4.9
Overall rating

Review highlights

Rare dual-platform fluency
BIWise's consultants hold working expertise in both legacy SAS environments and modern cloud data stacks, enabling them to manage complex migrations without the handoff risk that typically plagues multi-vendor transitions.
AI readiness grounded in data fundamentals
Rather than selling AI as a quick win, BIWise assesses data quality, governance, and system accessibility first — delivering prioritised roadmaps that give clients confidence their automation investments will actually land.
Legacy SAS migration handled with minimal disruption
Legacy platform migration · Q1 2025
4.8
Quality
4.9
Schedule
4.7
Cost
4.6
Recommend
5.0
"We'd been dependent on a SAS environment for years and the prospect of migrating was genuinely daunting — both technically and in terms of getting our analysts to change how they work. BIWise came in with a clear methodology from day one: they scanned and inventoried everything before anyone wrote a single line of new code, and they kept our stakeholders involved at every phase rather than disappearing into a technical black box. We decommissioned the legacy platform on schedule and our team was operational on the new tools faster than we'd projected."
Head of Data & Analytics · Nordic enterprise organisation (professional services)
Finally a governance programme that stuck
Data governance & master data management · Q4 2024
4.9
Quality
4.9
Schedule
4.8
Cost
4.7
Recommend
4.9
"We'd attempted data governance initiatives internally before and they'd stalled because no one could agree on ownership or data definitions across business units. BIWise worked patiently across our business and IT teams to establish accountability structures that people actually accepted — and they embedded quality controls into workflows rather than bolting them on as an afterthought. The improvement in our management reporting reliability within six months was significant enough that the CFO noticed."
Chief Data Officer · Financial services firm, Denmark

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