One definition of the numbers
Reports lose value when sales, finance and leadership use different definitions. We document KPIs, sources and transformations so the numbers can be explained.
Data & Business Intelligence
Data & analytics that drive decisions
From raw data to actionable insights — we build dashboards, data pipelines and analytics platforms that give you full control.
BI Dashboards
Interactive dashboards in Grafana, Metabase or Power BI providing real-time insight into KPIs and performance.
Data Pipelines
Robust ETL/ELT pipelines that collect, transform and load data from all sources automatically.
Data Warehouse
Centralized data storage with PostgreSQL, ClickHouse, BigQuery or Snowflake for fast analytics.
Real-time Analytics
Streaming analytics with Kafka, Flink or Redpanda for event-driven real-time insights.
Predictive Analytics
Machine learning and statistical models for forecasting, anomaly detection and customer segmentation.
Data Visualization
Custom visualizations and reports that make complex data understandable for everyone.
Technologies we use
GrafanaMetabasePower BIPostgreSQLClickHouseBigQuerySnowflakeApache KafkadbtAirbytePythonApache Airflow
From data to insight
01
Data Mapping
We identify all data sources, assess data quality and define analytics requirements.
02
Architecture & Pipeline
Design and implementation of data infrastructure, pipelines and storage strategy.
03
Dashboards & Reports
Building interactive dashboards with the metrics that matter most to your business.
04
Training & Handover
We train your team to use the tools and offer ongoing support.
SEO research for data and BI
Analytics and dashboards that make decisions easier
Searches around analytics, BI and dashboards show that companies need both advisory and implementation. This page covers the journey from data sources and quality to Power BI, dashboards and automated reporting.
Search themes we cover
business data analyticsbusiness intelligence Norwaydashboard developmentdata visualization for companiesPower BI consultant Norway
Search intents this page answers
1
Combining data from multiple sources
Buyers want to replace manual reports with reliable pipelines from finance, sales, product and operations.
2
Building dashboards leadership uses
The goal is not only charts, but KPIs, data quality and decisions that can be followed up.
3
Getting more from BI tools
The page covers tool selection, modeling, visualization and automation.
Questions before a data platform
- Which data sources should be connected first?
- How do we ensure the numbers are correct?
- Should we use Power BI, Looker Studio or a custom dashboard?
- How do we automate reporting without losing control?
What we deliver for data teams
- Data models and pipelines with documented definitions
- Dashboards for leadership, sales, finance and operations
- Automated reporting and alerting
- Role-based access and GDPR-aware data handling
Data platforms that make reporting more reliable
Automated data flows
APIs, databases, spreadsheets and third-party tools can be gathered into robust pipelines. Error handling and alerts help catch data breaks before reports are used.
Dashboards with decision value
Good dashboards show trends, exceptions and next actions. We build views for leadership, sales, operations and finance with the right level of detail for each role.
Common questions about data and analytics
Which data sources can be connected?
Typical sources include CRM, ERP, accounting, e-commerce, advertising, product databases, support tools and internal databases.
Do we need a large data warehouse?
Not always. Many teams start with a simpler model and expand when data volume, history requirements or governance make it necessary.