Assessment
Data & BI Assessment
A 3–4 week audit that assesses your data, BI and reporting landscape with a clear, prioritized roadmap for the next 6–12 months.
Enterprise data & AI partner
Turn your data into decisions that move the business.
We help financial services, manufacturing and technology companies build a trusted data platform, modern BI and practical AI solutions that speed up reporting and improve visibility and control.
40+
enterprises in Europe
80+
projects per year
15+
data specialists
data.oc
analytics & AI
Packaged data & analytics services
BI · Data Platform · AI
We work with companies where data errors are expensive
Our clients are banks, payment institutions, manufacturers, technology and energy companies that rely on accurate reporting, regulatory compliance and forward-looking decisions.
Banking & Payments
Insurance
Manufacturing & Supply Chain
Telecom
Energy & Utilities
Forestry & Resources
Retail & Wholesale
Property Management
SaaS & Technology
Packaged data & analytics services
We combine strategy, architecture and delivery to build a trusted foundation for analytics and AI on top of your existing systems.
Strategy
BI Strategy & Roadmap
We define the role of BI and the data platform, target operating model, KPI framework and investment plan aligned with executive expectations.
Delivery
Dashboard & Reporting Delivery
Design and implementation of executive and operational dashboards combining finance, sales, customer and operational data in a single view.
Engineering
Data Warehouse Implementation
Architecture and implementation of data warehouses, data lakes and lakehouse solutions on modern platforms (Snowflake, BigQuery, Azure, PostgreSQL).
AI & ML
AI & Machine Learning Solutions
Pragmatic AI use cases: demand forecasting, churn prediction, risk scoring, anomaly detection and text analytics.
Managed
Managed Analytics Services
We take over the day-to-day operations of your analytics platform and reporting with SLAs, incident management and a continuous improvement backlog.
Business outcomes, not just technology
A single source of truth for leadership
Executive reporting & KPI framework
- Aligned KPI structure across finance, sales, operations and HR.
- Standardized management reports with transparent data lineage.
- Less manual Excel work and reconciliation in meetings.
Transparency on product, customer and channel profitability
Profitability & margin analytics
- Detailed margin view down to product / customer level.
- Better pricing, discount and portfolio decisions.
- Clear visibility of loss-making segments and their impact.
Faster planning cycles with higher accuracy
Planning, budgeting & forecasting
- Shortened budgeting cycles from months to weeks.
- Scenario and what-if modelling capabilities.
- Aligned versions between finance and business teams.
Modern data & analytics technology stack
We work with leading data platforms, BI tools and orchestration technologies. We choose the stack based on business needs, not hype.
BI & visualisation
Power BI
Tableau
Looker
Looker Studio
Data platforms
Snowflake
BigQuery
Azure SQL / Synapse
PostgreSQL
Databricks
Data engineering
SQL
Python
dbt
Airflow
Kafka
Fivetran / Stitch
ETL / ELT pipelines
Cloud & integrations
Azure
AWS
REST API
Event streaming
How we work
1. Discover
Understand your landscape
In 1–2 weeks we interview key stakeholders, map data sources, reporting pain points and the existing technology stack.
2. Design
Architecture & target state
We define the target data platform, KPI framework and BI architecture together with a realistic roadmap and impact estimate.
3. Deliver
Iterative implementation
We deliver in sprints starting from the highest-value use cases. Every iteration ends with a tangible business outcome.
4. Operate
Run & improve
We ensure data quality, change management and continuous optimisation so your platform evolves with the business.
Business outcomes powered by data
Faster management reporting and forecasting (hours, not days).
Less manual Excel work and reconciliation effort.
Improved profitability transparency down to product and customer.
Higher planning accuracy and better scenario analysis.
A single version of the truth for leadership conversations.
Improved regulatory reporting and audit readiness.
Industry expertise
Each industry requires its own data model, metrics and KPI language. We tailor architecture and content to your domain.
Banking & Payments
Insurance
Manufacturing & Supply Chain
Telecom
Energy & Utilities
Forestry & Resources
Retail & Wholesale
Property Management
SaaS & Technology
Selected use cases
Transaction & risk analytics
Integrated view on products, customers and risk with embedded support for regulatory reporting.
Production efficiency & quality
Detailed OEE analytics, downtime tracking and real-time visibility into quality costs.
Scalable revenue & churn analytics
MRR, churn, cohorts and product portfolio analytics for leadership and product teams in one place.
Data & BI quick assessment
If you are not sure where to start, begin with a 3–4 week assessment of your data and BI landscape with clear next-step recommendations.
- Mapping of existing data sources, reports and processes.
- Architecture review of your BI and data platform.
- Prioritised roadmap for improvements and investments.
Request data assessment
Request data assessmentFrequently asked questions
We focus exclusively on data, BI and analytics initiatives. We start from business questions and KPIs instead of technology alone.
We work with the most widely used data and BI platforms but always adapt to your current landscape and requirements.
First results usually appear within 4–8 weeks, while a full platform and BI rollout can span several months depending on scope.
Yes, through Managed Analytics Services we take over day-to-day operations with clearly defined SLAs.
Let’s talk about your data
Share a bit about your situation and we will come back within 1–2 business days with a proposal for the next conversation.
Contact
data@oc.lv
Typical next step
60–90 minute discovery session focused on your current reporting, planning and data challenges.