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Data Analytics & BI

Data Analytics & BI Services That Turn Data Into Decisions — and Decisions Into Revenue

Most businesses are sitting on goldmines of untapped data. We build the infrastructure, dashboards, and predictive models that turn your raw data into strategic advantage — real-time, self-service, and actionable.

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✔ Power BI | Tableau | Looker | Custom✔ Real-Time Dashboards✔ Predictive Analytics✔ Free Data Maturity Audit
Executive BI dashboard
with KPI cards, charts,
and trend lines
Capabilities

Data Analytics & BI Services We Deliver

From data chaos to decision clarity — end-to-end analytics engineering

BI Dashboard Development

Executive dashboards, departmental KPI trackers, and self-service reporting in Power BI, Tableau, Looker, and Metabase — designed for decision-makers, not data analysts.

Data Warehouse & Lake Architecture

Modern data stack design — Snowflake, BigQuery, Redshift, or Databricks — with ELT pipelines, data modeling (dbt), and governance frameworks.

ETL/ELT Pipeline Engineering

Automated data pipelines using Fivetran, Airbyte, Stitch, dbt, and Apache Airflow — connecting every data source into a unified, analysis-ready layer.

Predictive Analytics & Forecasting

ML-powered forecasting for sales, demand, churn, inventory, and financial planning — turning historical data into forward-looking business intelligence.

Real-Time Analytics & Streaming

Live dashboards and real-time event processing using Kafka, Spark Streaming, and change data capture — for businesses where seconds matter.

Data Governance & Quality

Data quality monitoring, lineage tracking, access controls, cataloging, and compliance frameworks — because bad data leads to bad decisions.

Our Difference

The PabblySoftTech Analytics Difference

🎯

Decision-First Design

We start with the decisions you need to make, then work backward to the data, metrics, and visualizations required to make them.

🧑‍💼

Self-Service BI

Dashboards your team can filter, drill into, and explore without asking IT. We train your staff to be data-driven, not data-dependent.

🏗️

Modern Data Stack

Cloud-native architecture using best-in-class tools — no monolithic BI suites. Composable, scalable, cost-efficient.

📊

Data Maturity Audit

Free assessment scoring your data maturity across 6 dimensions — with a phased roadmap to analytics excellence.

Our Process

Our Data & BI Delivery Framework

01

Data Maturity Audit

Assess data sources, quality, infrastructure, governance, and current analytics capabilities across your organization.

02

KPI & Metrics Design

Define critical business questions, KPIs, metric definitions, and data requirements for each decision-maker persona.

03

Data Infrastructure

Build or optimize your data warehouse, set up ELT pipelines, implement data modeling with dbt, and establish governance.

04

Dashboard Development

Build interactive, role-based dashboards with drill-down, filtering, and alerting — designed for adoption, not admiration.

05

Training & Adoption

Hands-on training for your team — from C-suite to analysts. Data literacy workshops, office hours, and documentation.

06

Optimize & Scale

Quarterly reviews, new dashboard requests, pipeline optimization, cost management, and expanding analytics coverage.

Tech Stack

Our Data & Analytics Technology Stack

Power BI
Tableau
Looker
Metabase
Snowflake
BigQuery
Redshift
Databricks
dbt
Fivetran
Airbyte
Apache Airflow
Apache Kafka
Python / Pandas
SQL / dbt
Spark
Monte Carlo
Great Expectations
Case Studies

Data-Driven Results — From Our Clients' Real Businesses

Case Study

Executive Revenue Dashboard

SaaS / B2B

Snowflake + dbt + Looker + Fivetran
Report generation: 3 days → real-time 12 data sources unified into one dashboard $85K/year saved in analyst time
Case Study

Demand Forecasting Engine

Retail / eCommerce

BigQuery + Python + Prophet + Power BI
Forecast accuracy: 62% → 91% Overstock reduced by 34% $1.2M inventory cost savings in Year 1
Case Study

Marketing Attribution Platform

eCommerce / DTC

Snowflake + dbt + Tableau + Segment
First-touch to revenue attribution built ROAS visibility increased 4x Marketing spend reallocation saved $320K
Industries

Analytics Solutions by Industry

eCommerce & Retail

Customer segmentation, LTV modeling, basket analysis, inventory forecasting, marketing attribution

SaaS & Technology

MRR/ARR dashboards, cohort analysis, churn prediction, product usage analytics, funnel optimization

Financial Services

Risk dashboards, portfolio analytics, regulatory reporting, fraud pattern detection, P&L analysis

Healthcare

Patient outcome analysis, operational efficiency, bed utilization, claims analytics, population health

Manufacturing

OEE dashboards, production analytics, supply chain visibility, quality control metrics, cost analysis

Logistics & Supply Chain

Route optimization, delivery performance, warehouse analytics, carrier scorecards, demand planning

FAQs

Data Analytics FAQs

Do we need a data warehouse to start with BI?

Not necessarily. For quick wins, Power BI and Tableau can connect directly to your existing databases and tools. For scalable, enterprise-grade analytics, we recommend building a proper data warehouse — but we can start small and grow.

Which BI tool should we use — Power BI, Tableau, or Looker?

It depends on your stack. Power BI is ideal for Microsoft-heavy orgs, Tableau for complex visual analytics, and Looker for BigQuery-native, code-first teams. We're vendor-neutral and recommend based on your team, budget, and existing tools.

How long does it take to build a BI dashboard?

A single executive dashboard takes 2–4 weeks. A full analytics platform with data warehouse, pipelines, and multiple dashboards takes 8–16 weeks. We always start with a quick-win dashboard in the first 2 weeks to show value immediately.

Can you work with our existing data infrastructure?

Absolutely. We work with whatever you have — on-prem SQL databases, cloud data warehouses, Google Sheets, CSV exports, and SaaS API connections. We meet you where your data lives and help you evolve at your pace.

What's the difference between analytics and BI?

BI focuses on reporting what happened (dashboards, KPIs, historical analysis). Analytics goes further — predictive models, statistical analysis, and prescriptive recommendations. We deliver both, starting with BI foundations and layering analytics on top.

Stop Guessing. Start Knowing. Let Data Drive Your Decisions.

Start with our free Data Maturity Assessment — we'll score your analytics readiness across 6 dimensions and deliver a phased roadmap to data-driven decision-making.

Get My Free Data Maturity Assessment Explore BI Solutions
✔ Free Data Maturity Audit✔ Vendor-Neutral Advice✔ Quick-Win Dashboard in Week 2✔ Self-Service Training Included