Data, analytics and AI — results quickly
I help organizations build data platforms, BI reporting, and AI automation that enhance decision-making and daily work. From planning to production, agile and securely.
What I do
Data platforms and integrations, BI reporting, machine learning and generative AI, automation, cloud and maintenance.
Services
Clearly defined solutions that deliver measurable business value.
Data-driven leadership
OKR modeling, KPI development and data quality — practices that support daily operations and strategy.
Data platforms & integrations
Design and implementation: data warehouses, ELT/ETL pipelines and integrations from source systems to analytics.
BI & reporting
Management metrics, self-service analytics and automated reports to support decision-making.
AI & automation
Generative AI, AI agents, vibe coding and intelligent automation to enhance processes.
Performance & reliability
Architecture reviews: scalability, costs and security in order.
Leading architecture
Roadmaps, architecture, audits and team sparring — practically.
References
Highlights from implementations — more available upon request.
Management analytics
All of the organization's most important data and information can be found in one place. Whether it's financial reporting or operational monitoring.
Datalake + cloud
Building a complete bank's data warehouse from scratch to Snowflake and Power BI utilization is possible in under two years when the right people are selected for the right positions in the project.
Reporting + operational system in one place = Efficiency
By implementing an application that allows you to see system data as a report and directly update data in the system, you can significantly improve the business process.
Data-driven leadership and data-based decision making
Data-driven leadership is a seven-step process that transforms an organization's decision-making based on data:
- Defining business needs: Identify concrete areas where a data-driven approach brings benefits.
- Setting goals: Transform business needs into measurable objectives.
- Data collection: Gather necessary information from internal and external sources.
- Data analysis: Process and refine collected data into usable form.
- Data sharing: Distribute analyzed data to different departments and stakeholders.
- Using data in decision-making: Apply insights gained from data to daily and strategic decisions.
- Monitoring and evaluating results: Continuously monitor and evaluate the impact of decisions.
How we work
Transparent steps that reduce risk and advance results.
Needs assessment
Goals, risks and constraints; agree on success metrics and timeline.
Planning
Architecture and milestones — light and visible roadmap.
Implementation
Small releasable batches, continuous product review and fast release pipeline.
Deployment
Production deployment, monitoring, documentation and training.
Technologies and expertise
Get in touch
Tell me briefly about your needs. I'll respond within 24h on weekdays.
Collaboration models
- Defined package: clear delivery and timeline.
- Weekly agreement: flexible priorities and steady progress.
- Part-time leadership: architecture and sparring as needed.
Contact information
- Laine Biz & Tech Oy
- Lapinlahdenkatu 16, 00180 Helsinki
- Tommi Laine
- +358 (0) 44 2609003
- tommi.laine@lainebiz.fi