Professional Programme · Individual & Corporate · Pan-India

Business Analytics with AI — The Professional Programme for Data-Driven Teams

Analytics skills alone are no longer enough. The analysts who stand out in 2025 combine strong data fundamentals with AI tools that make them 3–5 times faster. This programme gives you both — structured analytical thinking and practical AI workflows — in one programme. 1,500+ professionals trained since 2020.

  • Analytics thinking: from business question to decision in a structured framework
  • Excel, Power BI and Microsoft Copilot for end-to-end reporting
  • AI-augmented workflows: clean, analyse and narrate data with ChatGPT
  • Data storytelling: present findings so executives act on them

Programme Snapshot

Duration:
16–20 hours live training
Level:
Intermediate
Tools:
Excel, Power BI, ChatGPT, Copilot
Format:
Live online / On-site
Audience:
Analysts, Managers, Teams
Certificate:
Technovids completion certificate
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Trusted by teams from India's leading companies

Akshaya Patra Foundation — Technovids client
Lifestyle International — Technovids client
Titan — Technovids client
SASTRA University — Technovids client
PES University — Technovids client
Impelsys — Technovids client
Max Healthcare — Technovids client
Tomia — Technovids client
Aujas Cybersecurity — Technovids client
Brillio — Technovids client
Genpact — Technovids client
EY — Technovids client
Mphasis — Technovids client
Marlabs — Technovids client
Harro Hoefliger — Technovids client

1,500+ professionals trained across 100+ companies since 2020

What is Business Analytics — and Why Does AI Make It 3× More Powerful?

Business analytics is the practice of using data to answer business questions, identify root causes, and support decisions. It covers everything from summarising last month's sales performance to diagnosing why customer satisfaction dropped in one region to projecting the revenue impact of a proposed price change.

The traditional analytics workflow is slow. Extract data from multiple systems. Clean it in Excel. Build pivot tables. Write a summary. Format a presentation. This cycle takes days for reports that should take hours. AI tools compress every step: ChatGPT writes the cleaning logic, Copilot generates the summary, and the analyst's job shifts from mechanical work to analytical judgment.

According to Harvard Business Review's landmark analysis on data-driven organisations, companies that use analytics systematically outperform competitors by 5–6% on productivity and profitability. The AI layer is the 2025 multiplier on top of that foundation.

Programme Curriculum

4 modules · AI tools integrated throughout · every session is hands-on with real business data.

Module 1

Analytics Thinking & Defining the Right Question

3 hrs
  • The analytics value chain: from business question to decision
  • Descriptive, diagnostic, predictive and prescriptive analytics — differences and when to use each
  • Defining the question: why most analysis answers the wrong question
  • Data quality: identifying and handling bad, missing and inconsistent data
  • Workshop: Turn 3 business problems into structured analytical briefs

Module Outcome

Participants write structured analytical briefs for real problems they face at work.

Module 2

Excel & Power BI for Business Analysis

5 hrs
  • Advanced Excel: PivotTables, Power Query, dynamic arrays and conditional logic
  • Power BI: data modelling, DAX measures, dashboard design and interactivity
  • Microsoft Copilot in Excel: generate formulas and analyse data with prompts
  • Microsoft Copilot in Power BI: generate visuals and summaries from natural language
  • Lab: Build an integrated analysis — from raw data in Excel to published Power BI dashboard

Module Outcome

Participants publish a complete Power BI dashboard from their own business data.

Module 3

AI-Augmented Analytics Workflows

4 hrs
  • Using ChatGPT to clean, transform and summarise business datasets
  • AI for root cause analysis: generating hypotheses and testing them against data
  • Automated insight narratives: from charts to written analysis using AI
  • Detecting AI errors: when to trust the output and when to verify independently
  • Workshop: Complete a full business analysis in 90 minutes using AI tools

Module Outcome

Participants complete a business analysis that normally takes half a day — in 90 minutes.

Module 4

Data Storytelling & Communicating Decisions

3 hrs
  • Pyramid principle: structure your data narrative for executive audiences
  • Choosing the right visual for every business question — and what to avoid
  • Sensitivity analysis and scenario modelling for defensible recommendations
  • Presenting uncertainty: how to say "it depends" credibly to senior stakeholders
  • Capstone: Present a 5-minute data-backed recommendation to a panel

Module Outcome

Every participant delivers a data presentation and receives structured feedback on clarity and persuasiveness.

Corporate Business Analytics Training Built Around Your Data

We customise datasets, use cases and tools to your industry. A finance team gets financial modelling cases; an operations team gets supply chain analytics. On-site or live online across India.

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Industry Use Cases

All exercises use scenarios from your actual industry and job function.

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AI Tools Included

ChatGPT, Copilot and AI data analysis covered in every corporate batch.

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Bangalore + Pan-India

On-site at your office or live online for distributed teams.

4.9 / 5from 200+ participants

What Our Participants Say

Professionals from India's leading companies on the Business Analytics AI programme.

The AI module was the most valuable part. Using ChatGPT to clean data and write Power Query transformations cut my weekly report preparation from 6 hours to 90 minutes. That is not an exaggeration.

DA

Deepak Agarwal

VP Strategy

Mahindra Finance

We enrolled 12 data analysts from our finance function. Within a month, every one of them had published a live dashboard. The ROI on the training was visible within the first billing cycle.

DA

Deepak Agarwal

VP Strategy

Mahindra Finance

The Power Query module alone was worth the full investment. Our team was spending 3 hours every Monday cleaning data in Excel. We automated that entirely in the first session.

AK

Ananya Krishnan

Head of Analytics

FMCG company, Bangalore

Frequently Asked Questions

What is the Business Analytics with AI programme at Technovids?+

This is a structured professional programme that combines classical business analytics with AI-powered workflows. Participants learn the full analytics value chain — defining business questions, extracting and cleaning data, building BI dashboards, applying AI tools to speed up analysis, and communicating findings to decision-makers. The programme uses Excel, Power BI, ChatGPT and Microsoft Copilot as the core tool stack. It is designed for analysts, managers and teams who want to be more data-driven in their decision-making — without needing a data science background. To pair this with SQL skills, see our SQL Training in Bangalore.

How does AI fit into a business analytics programme?+

AI accelerates every stage of the analytics workflow. In data preparation, ChatGPT writes Excel formulas, Power Query transformations and SQL queries from plain English descriptions. In analysis, Microsoft Copilot in Power BI surfaces patterns and anomalies automatically. In insight communication, AI drafts the narrative summary around your data — the "so what" explanation that accompanies every chart. This programme integrates AI tools at each step of the analytics process, so participants complete analyses in half the time with greater depth. The goal is AI-augmented analytics — not replacing analytical thinking, but removing the mechanical parts that slow it down.

Is this programme suitable for non-technical business professionals?+

Yes. The programme is built for business users who work with data in Excel, Power BI or Google Sheets and want to produce better analysis faster. No programming or statistics background is required. Participants need to be comfortable with Excel at a basic level — understanding rows, columns and basic formulas. Everything else is taught from first principles. We have delivered this programme to finance managers, operations heads, marketing analysts, HR business partners and general managers across India.

What is the difference between business analytics and data science?+

Business analytics describes and diagnoses what happened — it answers questions like "Which products are driving revenue decline?" and "Why is customer satisfaction dropping in one region?" Data science goes further — it predicts what will happen and prescribes what to do about it, using statistical models and machine learning. This programme focuses on business analytics — practical, decision-oriented analysis using BI tools and AI. Data science requires Python, statistics and ML knowledge beyond the scope of this programme. Our Production AI Engineering course covers advanced AI and ML for technical professionals.

Can this be run as a corporate training programme for our analytics team?+

Yes — corporate delivery is the most common format for this programme. We customise datasets, tools and case studies to reflect your industry and business context. A BFSI analytics team gets banking case studies; a retail analytics team gets FMCG use cases. We can also tailor the BI tools module to your specific platform — Power BI, Tableau or Google Looker. Corporate programmes typically run as 3–5 day intensives on-site or online. See our broader corporate AI training offering at AI Training India.

What tools are covered in the Business Analytics AI programme?+

The core tool stack is: Microsoft Excel (advanced: Power Query, PivotTables, dynamic arrays), Power BI (data modelling, DAX measures, dashboard design), ChatGPT and Claude for AI-augmented analysis, and Microsoft Copilot (in Excel and Power BI). We also cover Google Sheets with Gemini integration for teams in Google Workspace environments. Every tool is taught in the context of a real business analysis workflow — not as isolated feature demos.

Combine Analytics with AI Superpowers

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