SpreadLogics

Another report rarely changes a business. The real value is a system that connects data, automation, reporting, and AI-assisted decision support in one place.

We work with businesses that rely on data but struggle with disconnected tools and workflows. We fix the foundation: data audit, BI strategy, integrations, pipelines, warehousing, dashboards, automation, and AI logic that turns reports into priorities.

OUR SERVICES
✔ BI STRATEGY & DATA AUDIT
We review your reporting, data flows, and business logic to identify broken KPIs, gaps, bottlenecks, and automation opportunities. Then we define a BI approach that fits your business goals and needs.
→ You are clear on where your data flows and reporting fail today, and have a prioritized roadmap to fix them.
✔ DATA INFRASTRUCTURE & AUTOMATION
We connect your sources, structure your data, and automate repetitive workflows. This includes ETL pipelines, workflow automation, and AI agents for summaries, checks, alerts, and repetitive analysis.
→ You get structured data flows and automation that make the business easier to scale and operate.
✔ REPORTING, DASHBOARDS & INSIGHTS
We build automated dashboards and reporting systems that bring your data into one reliable source of truth. We also deliver actionable insights through AI and expert analysis, so you understand what to do next.
→ You see a clear view of business performance, actionable insights, and decisions backed by reliable data.
✔ OPTIMIZATION & SUPPORT
We provide ongoing and proactive support to keep reporting, automations, and workflows accurate, stable, and aligned with the business.
→ Your reporting setup stays accurate as tools, metrics, campaigns, products, and internal processes change.

TYPICAL PROJECTS
Clients hire us when:

• numbers do not match across dashboards, reports, and teams
• data is scattered across tools, with no single source of truth
• reporting depends on spreadsheet updates, manual work, and repetitive tasks
• decision-makers see numbers, but not the insights and priorities behind them
• the company wants to use AI in operations, but doesn’t know where it creates real value

TOOLS & STACK
→ Data Engineering & Warehousing: BigQuery, Snowflake, Databricks, Microsoft Fabric, SQL
→ Automation & AI: n8n, Make, Zapier, Google Apps Script, AI automations and agents → Integrations & Development: Python, JavaScript, API integrations, Power Query, DAX → Reporting & BI: Power BI, Tableau, Looker Studio, Google Sheets, Excel → Common Sources: Shopify, GA4, Google Ads, Meta Ads, Salesforce, HubSpot