Virtual Training Strategic Procurement, Logistics, and Supply Chain Excellence

Data Analytics for Manufacturing and Operations Online Course

Join our virtual, live instructor-led session and master Data Analytics for Manufacturing and Operations Training from anywhere in the world.

10 Days Duration
Live Online Delivery
7 Dates Available
Certificate Included
Transform your manufacturing and operations with powerful data analytics for improved performance and resilience.

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
DAM-30 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DAM-30 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DAM-30 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
DAM-30 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DAM-30 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
DAM-30 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DAM-30 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
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USD 1,700
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10 Days
USD 1,700
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8 Weeks
USD 1,700
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10 Days
USD 1,700
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8 Weeks
USD 1,700
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10 Days
USD 1,700
DAM-30
Training Date
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10 Days
USD 1,700
DAM-30

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Foundations of Manufacturing and Operations Analytics

2

Defining KPIs That Drive Performance

3

Data Sources in Manufacturing and Operations

4

Cleaning and Structuring Operational Data

5

Downtime Analytics and Loss Analysis

6

Quality Analytics: Defects, Scrap, Rework, and Yield

7

Process Variation and Performance Stability

8

Maintenance and Reliability Analytics

9

Inventory and Supply Chain Analytics for Operations

10

Forecasting and Capacity Planning for Production and Operations

11

Building Dashboards and Operational Reporting Packs

12

Communicating Insights and Defending Decisions

Market-specific guidance for India

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in India

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Data analytics for manufacturing and operations matters in India because factories and plants are under constant pressure to improve throughput, reduce defects, and control cost while also responding faster to supply-chain disruption and customer volatility. The course is most relevant for production, quality, maintenance, supply-chain, and plant-leadership teams that need to turn shop-floor data into decisions before losses show up in financial results. It helps leaders decide where bottlenecks, waste, and reliability issues are emerging, and which interventions are likely to deliver the fastest operational return. In a market where manufacturing competitiveness depends on both execution speed and disciplined reporting, analytics capability becomes a management tool rather than just a reporting skill.

Early-warning control

Indian manufacturing teams need analytics that highlight drift in cycle time, defect rates, and downtime before quarterly targets are missed, because reactive firefighting is too late once orders slip or rework rises.

Cross-functional decision support

Operations leaders benefit most when production, quality, maintenance, and supply-chain data are viewed together, since many performance problems in India arise at the handoff points between functions rather than inside one team alone.

Management-ready reporting

This course is especially valuable where plant teams must explain performance changes clearly to senior leadership, auditors, or customers, because the business value comes from linking metrics to root cause and action.

The timing is strong because Indian manufacturers are operating in a more data-driven environment, with greater attention on productivity, quality, export competitiveness, and operational resilience. As digital systems spread across plants, the ability to interpret operational data correctly is becoming a baseline management capability rather than a specialist advantage.

Tools and platforms relevant to this field

4

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Power BI Microsoft
    Used to build production dashboards, track KPIs such as output, defects, and downtime, and share management summaries across plant and head-office teams.
  • Tableau Salesforce
    Used for visualizing trends, comparing shifts or lines, and presenting operational performance in a form that non-technical stakeholders can interpret quickly.
  • SAP S/4HANA SAP
    Used in manufacturing environments to connect production, procurement, inventory, and finance data so teams can analyze operations end to end.
  • Microsoft Excel Microsoft
    Used for quick operational analysis, ad hoc investigation, KPI tracking, and cleaning plant-level data before deeper analytics or dashboarding.

Where this course runs

Data Analytics for Manufacturing and Operations Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

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Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
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