Data & Analytics

Turn Data Into Decisions

Data warehouses, real-time pipelines, and executive dashboards that surface actionable intelligence — built on modern lakehouse and streaming architectures.

Overview

From Raw Data to Business Insight

We help enterprises unify fragmented data sources and build analytics platforms that leaders actually use every day.

Our data engineers design ETL/ELT pipelines, lakehouse architectures, and self-service BI layers processing millions of events daily with sub-second query performance.

We implement data contracts, lineage tracking, and quality checks so your analytics stay trustworthy as sources evolve and teams scale.

Business intelligence and analytics dashboard

Analytics Capabilities

Full-stack data services from ingestion to executive reporting.

Data Engineering

  • Snowflake, Databricks & BigQuery Warehouse and lakehouse design with medallion architecture (bronze/silver/gold), clustering keys, and cost-aware compute policies.
  • Stream processing Kafka, Kinesis, and Flink pipelines for real-time ingestion, windowed aggregations, and event-driven analytics triggers.
  • Data governance Cataloging (Collibra, Purview), PII masking, row-level security, retention policies, and GDPR/CCPA compliance workflows.

Business Intelligence

  • Executive dashboards Power BI, Tableau, Looker, and custom React dashboards with drill-downs, mobile layouts, and scheduled PDF distribution.
  • Embedded analytics White-label reporting inside your SaaS product via iframe SDKs or API-driven chart components with tenant isolation.
  • KPI frameworks Metric definitions, single source of truth documentation, and OKR-aligned scorecards agreed with business stakeholders.

Advanced Analytics

  • Predictive modeling Churn prediction, demand forecasting, and anomaly detection using scikit-learn, XGBoost, and production ML pipelines.
  • Customer 360 Identity resolution, unified profiles, and segmentation models across CRM, web, mobile, and support touchpoints.
  • Operational analytics Supply chain visibility, inventory optimization, and SLA tracking dashboards tied to live operational systems.

Data Ops

  • Pipeline orchestration Airflow, Dagster, and dbt workflows with dependency graphs, retry logic, and alerting on freshness SLAs.
  • Data quality monitoring Great Expectations or custom validators for schema drift, null rates, duplicate detection, and reconciliation reports.
  • Self-service enablement Semantic layers, certified datasets, and analyst training so business teams query data safely without bottlenecks.

Data Stack

Snowflake Databricks BigQuery dbt Airflow Kafka Spark Power BI Tableau Looker Python Fivetran

Analytics Delivery

  1. Assess

    Source inventory, data quality audit, and analytics maturity assessment.

  2. Model

    Dimensional models, metric definitions, and pipeline architecture design.

  3. Build

    ETL/ELT development, warehouse setup, and dashboard creation.

  4. Adopt

    User training, documentation, and continuous improvement cycles.

Data FAQ

How do you handle messy, siloed enterprise data?

We start with a source inventory and incremental integration — building a unified layer without requiring a big-bang migration. Data quality rules catch issues before they reach dashboards.

Can you work with our existing BI tools?

Yes. We integrate with Power BI, Tableau, Looker, and others — often improving the underlying data models so your existing reports become faster and more reliable.

Ready to Transform Your Business?

Book a free consultation and discover how Sateri Digital can accelerate your next initiative.