Data Analytics & BI

Turn raw data into actionable insights with modern data pipelines and dashboards.

Build the data foundation your business decisions depend on. We design and implement end-to-end data solutions — from ingestion and transformation to analytics and visualization — ensuring your data is clean, accessible, well-governed, and ready for AI. Our data engineers have delivered analytics platforms for Fortune 500 clients across financial services, healthcare, and retail.

1-4 months
1-2 (Data Engineer + Analytics Specialist)
Engagement Process

How We Deliver

A structured, phased approach with clear milestones and deliverables at every step.

01

Data Assessment

Week 1-2

Audit existing data sources, quality, and governance practices. Identify key business questions and define the analytics requirements that will drive the architecture.

Data source inventory & profiling
Data quality assessment
Business KPI & reporting requirements
Data governance gap analysis
02

Architecture & Design

Week 2-4

Design the data architecture — ingestion patterns, transformation layers, storage strategy, and semantic models for analytics consumption.

Data pipeline architecture design
ETL/ELT strategy & tool selection
Data warehouse/lakehouse design
Semantic model & metric layer definition
03

Pipeline Build & Dashboard Development

Week 4-12

Build data pipelines, implement transformations, and develop interactive dashboards and reports. Iterative delivery with stakeholder review at each milestone.

Data pipeline development (Airflow, dbt, Spark)
Data transformation & quality checks
Dashboard & report development
Self-service analytics enablement
04

Governance & Handoff

Week 12-16

Implement data governance policies, monitoring, and alerting. Train your team on pipeline operations and self-service analytics capabilities.

Data governance framework implementation
Pipeline monitoring & alerting setup
Team training on self-service tools
Documentation & knowledge transfer
What You Get

Deliverables

Data Pipeline Architecture

Automated, monitored data pipelines handling ingestion, transformation, and loading with built-in quality checks and error handling.

Analytics Dashboard Suite

Interactive dashboards and reports in your platform of choice (Tableau, Power BI, Looker, or Metabase) with drill-down capabilities.

Data Governance Framework

Policies, processes, and tooling for data quality monitoring, access control, lineage tracking, and compliance documentation.

Data Dictionary & Semantic Model

Comprehensive data catalog with business definitions, metric calculations, and governed semantic layer for consistent reporting.

Ideal For

Organizations needing better visibility into their data to drive business decisions
Companies with siloed data sources that need a unified analytics platform
Teams preparing their data foundation for AI and machine learning initiatives
Enterprises requiring regulatory compliance and data governance frameworks

Why SynopticIT

We have built analytics platforms processing terabytes of data daily for Fortune 500 clients — our pipelines are designed for reliability at scale.
Our data engineers are fluent in modern tools (dbt, Airflow, Spark, Snowflake, Databricks) and legacy systems alike, enabling incremental modernization.
Every analytics engagement includes a governance framework — because insights are only valuable if the underlying data is trustworthy.
Get Started

Ready to Explore Data Analytics & BI?

Request a callback and we'll discuss how this service fits your specific needs.

Request a Callback

Share your details and we'll reach out within one business day to discuss how Data Analytics & BI can help your organization.

Service:Data Analytics & BI