Data Analytics — Turn Data Into Decisions
We build dashboards, reports, and analytics pipelines that turn your data into actionable insights. From ETL to visualization — custom BI solutions that scale.
ZTABS provides data analytics & bi — We build dashboards, reports, and analytics pipelines that turn your data into actionable insights. From ETL to visualization — custom BI solutions that scale. Our capabilities include dashboards & visualization, etl & data pipelines, custom reports, and more.
How We Approach Data Analytics & BI
Most businesses sit on valuable data locked in spreadsheets, databases, and SaaS tools — but lack the infrastructure to extract actionable insights. ZTABS builds custom data analytics and business intelligence solutions that connect your data sources, transform raw data into clean models, and present insights through interactive dashboards and automated reports. We design ETL/ELT pipelines using dbt, Apache Airflow, and custom Python scripts to pull data from databases (PostgreSQL, MySQL, MongoDB), APIs (Salesforce, Stripe, HubSpot, Google Analytics), files (CSV, Excel), and data warehouses (BigQuery, Snowflake, Redshift).
Our visualization layer is built with tools your team already knows — Metabase, Grafana, and Apache Superset for self-serve BI, or custom React dashboards with D3.js and Recharts when you need a branded analytics experience embedded in your product. We also build predictive analytics models using Python (pandas, scikit-learn) for forecasting, anomaly detection, and customer segmentation. For real-time analytics, we implement streaming pipelines with Apache Kafka or event-driven architectures that update dashboards as data flows in.
Every engagement starts with a data audit to understand your sources, quality, and business questions. Analytics projects range from $15K for dashboard development to $80K+ for full data platform builds including warehousing, ETL, and visualization layers.
Common Use Cases for Data Analytics & BI
- Executive dashboards with real-time KPIs and drill-downs
- ETL pipelines connecting multiple data sources into a warehouse
- Customer analytics and segmentation for marketing teams
- Revenue and financial reporting with automated data refresh
- Product analytics tracking user behavior and feature adoption
- Predictive models for demand forecasting and churn prevention
- Embedded analytics for SaaS products
- Data quality monitoring and alerting systems
What Our Data Analytics & BI Includes
Core capabilities we deliver as part of our data analytics & bi.
Dashboards & Visualization
Interactive dashboards with real-time metrics, drill-downs, and exportable reports.
ETL & Data Pipelines
Data ingestion, transformation, and loading from multiple sources into a central warehouse.
Custom Reports
Scheduled reports, ad-hoc analysis, and KPI tracking aligned with your business.
Predictive Analytics
ML models for forecasting, churn prediction, and trend analysis when needed.
Data Integration
Connect CRMs, databases, APIs, and spreadsheets into a unified analytics layer.
Technologies We Use for Data Analytics & BI
Our team picks the right tools for each project — not trends.
Python
Leverage the power of Python to streamline operations, reduce costs, and drive innovation. Our Python solutions enable businesses to enhance productivity and deliver results faster than ever.
PostgreSQL
PostgreSQL empowers businesses with an advanced, open-source database solution that enhances data integrity, scalability, and performance. Experience a significant reduction in operational costs while driving innovation and agility in your organization.
Node.js
Node.js empowers businesses to build scalable applications with unparalleled speed and efficiency. By leveraging its non-blocking architecture, organizations can deliver seamless user experiences and accelerate time-to-market, driving innovation and growth.
React
Harness the power of React to accelerate your development process, enhance user experiences, and drive ROI. With its component-based architecture, React allows businesses to build dynamic applications that are both scalable and maintainable, ensuring long-term success in a competitive landscape.
TypeScript
TypeScript is a typed superset of JavaScript that adds static type checking and enhanced tooling. Catch errors at compile time, improve code maintainability, and accelerate development with world-class IDE support.
Our Data Analytics & BI Process
Every data analytics & bi project follows a proven delivery process with clear milestones.
Discovery
Identify data sources, key metrics, and reporting needs across stakeholders.
Data Architecture
Design warehouse schema, ETL flows, and data quality rules.
Pipeline Development
Build ETL jobs, data connectors, and validation logic.
Dashboard & Reporting
Create dashboards and reports with filters, drill-downs, and alerts.
Training & Handoff
Documentation, training, and support so your team can use and extend the system.
Why Choose ZTABS for Data Analytics & BI?
What sets us apart for data analytics & bi.
Business-Focused
We build analytics that answer business questions — not just pretty charts.
Flexible Tech Stack
Python, SQL, or low-code tools — we choose what fits your data and team.
Clean Data First
Data quality and governance built in so insights are trustworthy.
Actionable Insights
Dashboards designed for decision-making with clear KPIs and drill-down paths.
Ready to Get Started with Data Analytics & BI?
Projects typically start from $10,000 for MVPs and range to $250,000+ for enterprise platforms. Every engagement begins with a free consultation to scope your requirements and provide a detailed estimate.
Frequently Asked Questions About Data Analytics & BI
Find answers to common questions about our data analytics & bi.
We integrate databases (PostgreSQL, MySQL), CRMs (Salesforce, HubSpot), APIs, spreadsheets, and cloud storage. If it has an API or export, we can usually connect it.
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