Services

DATA AND ANALYTICS

We connect, modernize, and activate enterprise data across SAP, Microsoft Fabric, and Databricks ecosystems alongside your entire technology stack. The objective is simple: power modern analytics, scale AI capabilities, and make everyday business decisions faster and smarter.

Data advisory

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Turn data strategy and AI ambitions into a prioritized execution plan. We define data strategy, evaluate existing architectures, design actionable modernization roadmaps, and establish governance frameworks across your enterprise platform landscape. Aligning technical decisions with clear business outcomes ensures data investments generate measurable commercial value.

Data foundation

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Build trusted, reusable data assets for enterprise analytics and AI. We integrate data across the SAP ecosystem, CRM, custom applications, and core business platforms to transform scattered information into business-ready data assets. Unified data structures keep information consistent, secure, and accessible while optimizing estate costs and streamlining operational complexity.

Analytics, BI & AI

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Put enterprise data directly to work through automated reporting, conversational BI, and autonomous AI agents. We build intelligent capabilities into daily business operations, providing instant, conversational access to complex data sets across Power BI, cloud environments and core platforms. Connecting smart automation straight into daily tasks frees up team capacity and streamlines decision-making.

Case studies

Ruukki
Manufacturing

How to make customer feedback more useful with generative AI

LLMs API integrations Data handling & preprocessing

EnCoHub
Energy and utilities

Ensuring smarter electricity deals with a digital energy platform

Data engineering Data architecture Business design

Metsätilat
Services

Using AI to create a smart pricing tool for forest and rural properties

Machine learning Data engineering Integrations

Enersense
Energy and utilities

Mastering and modernizing Power BI

Power BI Azure Analysis Services

Combining SAP process expertise with modern cloud capabilities across Microsoft, Databricks, and custom environments creates a direct connection between backend master data and operational results.

Three core principles drive successful outcomes:

Clear priorities: We focus on high-yield opportunities and establish a clear, manageable initial scope.
Practical technology choices: We align modern cloud capabilities directly with your existing technology landscape.
Close collaboration: We maintain seamless continuity across strategic advisory and technical implementation.

Starting with a focused Data & AI modernization assessment evaluates your high-yield opportunities, defines priority use cases, and delivers a crisp, risk-managed path forward.

Industries we serve

Manufacturing

Banking and insurance

Energy and utilities

Wholesale and retail

Digital platform economy

Consumer brands

Public sector

Medical devices manufacturing

How does Vincit integrate SAP and custom enterprise data with modern cloud platforms?

Vincit connects SAP data (S/4HANA, ECC, BW, and SAP Datasphere) and custom application databases to Microsoft Fabric or Databricks using SAP-supported pipelines – including SAP Business Data Cloud – and a phased modernization plan. Data is modeled into governed, business-ready data products that keep SAP's business context, serving Power BI, natural-language analytics and AI agents while maintaining continuous operational uptime across existing SAP systems.

What role do strategic partnerships like Microsoft and Databricks play in Vincit's data services?

Microsoft and Databricks provide scalable cloud infrastructure for unified lakehouse architectures and automated business intelligence. While Vincit maintains deep capabilities across these key platforms, our specialists integrate data assets across your entire technology stack to ensure complete platform flexibility.

How can enterprises modernize legacy data systems while preserving operational stability?

Enterprises modernize safely by choosing a phased transition strategy—extending existing architectures, migrating high-value workloads incrementally into cloud ecosystems, or rebuilding core foundations step by step. Vincit secures this evolution through initial assessments that define clear priorities and ensure existing systems remain fully functional during deployment.

How does Vincit ensure data governance and AI readiness for enterprise buyers?

Vincit establishes governance frameworks, access controls, and quality standards—supported by accredited ISO/IEC 42001 certification principles—to ensure enterprise data remains structured, secure, and fully compliant. This structured readiness guarantees that AI implementations operate on trusted context and deliver predictable operational outcomes.

The record-setting 4-week SAP S/4HANA Public Cloud rollout

With Vincit, Ahlstrom set – and achieved – an ambitious, record-setting timeline: modernizing one of their plants’ ERP systems to SAP S/4HANA Public Cloud in less than a month.

Read the case study

Vincit can help you turn agentic AI into profit

Potential is great, but profit is better. At Vincit, we can help you identify high-impact areas and turn AI into measurable business value through three pillars: Agentic AI for ERP, Agentic AI for commerce, and Tailored AI solutions.

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Five B2B commerce trends beyond 2026

We have officially moved past the era of simply "having an online store." Today, customer portals and online stores, often combining digital sales and self-service, have matured into the core commercial operating system for manufacturers, distributors, and wholesalers.

Building an AI-powered pricing tool with accurate predictions

INNA is using a groundbreaking AI price-setting tool built on a machine learning model that allows for fast and accurate pricing of rental apartments. The Vincit-built tool automates a process that was time-consuming and took a lot of manual work in the past, giving INNA a competitive advantage.