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Data & BI Consulting
Define KPIs, reporting architecture, governance, and decision loops for leadership and operating teams.
Data Before Anything Else
Consulting, BI, Analytics, AI/ML solutions for operations-heavy businesses that need sharper decisions across Manufacturing, Supply Chain, Infrastructure, IT, Retail, and Mobility.
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Industry Domains
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Project Types
BI · AI
Full-stack consulting
OEE Score
87.4%
▲ 2.1%
Supply Health
94.2
▲ 5.8
Fleet Alerts
3
Active
AI Accuracy
91.8%
Nominal
Production Throughput
Week
Live weekly focus
Supply Chain Index
30d
+12.4%vs last period
Manufacturing · 4 production lines active
Supply Chain · 2 alerts queued for review
AI Model · Prediction engine nominal
Consulting to deployment
Build the data layer your next business move depends on.
From shop-floor signals and supply chain movements to leadership dashboards and AI/ML experiments, DataBAE turns operational data into measurable business advantage.
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Operations Analytics
Build analytical views for production, quality, maintenance, asset performance, and operational excellence.
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Supply Chain Intelligence
Connect demand, inventory, logistics, vendor, and fulfilment data to identify constraints and optimisation levers.
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AI/ML Prospects
Prototype forecasting, anomaly detection, diagnosis, recommendation, and AI-assisted operational workflows.
Project domains
Built around practical analytics problems, not generic dashboards.
Our projects sit close to operations, where better data can reduce delays, reveal losses, improve asset health, and help teams respond before small issues become expensive problems.
Manufacturing
Operations Excellence
Production performance, quality deviation, downtime, throughput, line efficiency, and root-cause analytics.
Supply Chain
Optimisation Intelligence
Demand patterns, inventory health, vendor performance, logistics visibility, service levels, and bottleneck analysis.
Mobility
Real-Time Vehicle Diagnosis
Sensor-driven reporting, fault visibility, anomaly signals, health monitoring, and diagnostic summaries.
Enterprise
BI + AI Decision Systems
Executive dashboards, automated reports, predictive indicators, and AI/ML pilots connected to business decisions.
Applied research
Turn promising AI ideas into tested business cases.
We help organizations move from "AI sounds useful" to scoped experiments, validated datasets, measurable prototypes, and implementation-ready recommendations.
Feasibility Studies
Assess data readiness, model options, risk, expected ROI, and operational fit before heavy investment.
Prototype Lab
Build fast, testable pilots for forecasting, diagnosis, optimisation, automation, and decision support.
Responsible AI
Design evaluation checkpoints for quality, bias, privacy, explainability, and adoption readiness.
Where data compounds
Analytics programs for infra, manufacturing, IT, retail, and operations-led teams.
Infrastructure
Project progress, asset utilisation, vendor tracking, cost visibility, risk indicators, and executive reporting.
Manufacturing
OEE, downtime, quality trends, maintenance signals, production planning, and plant-level performance dashboards.
IT & Digital
Product analytics, service performance, automation reporting, data platforms, and AI/ML feasibility projects.
Retail
Demand forecasting, customer cohorts, pricing intelligence, inventory performance, and campaign attribution.
How we work
Clear discovery, quick proof, durable systems.
Every engagement follows a structured path from problem framing to scalable data operations.
1
Diagnose
Map objectives, users, data sources, operational bottlenecks, reporting gaps, and decisions that need sharper evidence.
2
Design
Create the BI architecture, analytics roadmap, AI/ML opportunity backlog, and success measures for each workstream.
3
Build
Develop dashboards, pipelines, diagnostic reports, models, automation, and documentation with review cycles built in.
4
Scale
Operationalize governance, handover, monitoring, adoption, and continuous improvement rhythms.
Executive signal
Designed for leaders who need confidence before commitment.
DataBAE balances consulting clarity with engineering discipline, so every BI, analytics, or AI/ML initiative has a business owner, a data owner, a measurable target, and a path to adoption.
01
Data Readiness & BI Audits
Structured assessment of data quality, pipeline health, and reporting gaps before any build begins.
02
Operations Insight Sprint Reports
Short, scoped analytics engagements that deliver actionable findings and a follow-on roadmap.
03
AI/ML Prototype Scorecards
Validated experiment outputs with accuracy metrics, risk flags, and implementation recommendations.
04
Diagnostic Reporting Playbooks
Repeatable frameworks for vehicle, machine, or process diagnosis that teams can run independently.
Start with the question
Tell us what your data needs to prove.
Share the problem, the data you already have, and the decision you want to improve. We will respond with a practical first-step recommendation.
connect@databae.in Fast response — typically within 24 hours
No sales call required to get started