Transform raw data into strategic intelligence

Build a centralized analytics infrastructure that connects your business systems, automates reporting, and delivers insights teams actually use.

Data warehouse infrastructure visualization showing connected systems and analytics flow

What we deliver

Implement modern data architecture designed for your specific business workflows, reporting needs, and growth trajectory.

Data warehouse architecture

Design and implement centralized storage that consolidates data from CRM, ERP, marketing platforms, and operational systems into a unified analytical environment.

ETL pipeline setup

Configure automated data extraction, transformation, and loading processes that keep your warehouse current without manual intervention.

Dashboard development

Build interactive reporting interfaces that surface metrics relevant to each department using tools like Tableau, Power BI, or Looker.

Query optimization

Tune database performance to ensure reports load quickly even when analyzing millions of records across complex joins.

Access governance

Establish role-based permissions that protect sensitive data while giving teams the access they need to answer business questions.

How much does implementation cost?

Pricing depends on data volume, number of source systems, reporting complexity, and whether you need ongoing maintenance or just initial setup.

Foundation

Basic Setup

$4,800
one-time project
  • Connect up to 3 data sources
  • Single reporting dashboard
  • Standard ETL scheduling
  • Basic access controls
  • Documentation included
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Enterprise

Managed Service

$2,600
monthly retainer
  • Unlimited data sources
  • Custom dashboard development
  • Ongoing pipeline maintenance
  • Monthly performance reviews
  • Priority technical support
  • Quarterly strategy sessions
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Who builds your analytics infrastructure?

Olena Syniavska leads implementation projects with 8 years of experience designing data warehouses for manufacturing, retail, and logistics companies. She specializes in Snowflake, BigQuery, and Redshift architectures.

Expect direct communication throughout the project. Olena handles requirements gathering, technical design, and hands-on configuration. She coordinates with your IT team to ensure smooth integration with existing systems.

Olena holds certifications in Snowflake SnowPro Core and Google Cloud Professional Data Engineer. She has implemented data warehouses processing over 15 million records daily and reduced report generation time by an average of 78% across client projects. Previous implementations include real-time inventory analytics for a distributor with 23 warehouses and consolidated financial reporting for a holding company with 11 subsidiaries.

Olena Syniavska, data warehouse architect at Visiflowery
Analytics dashboard showing business metrics and data visualization