Data Analytics

Data Visualization and Analytics for Managerial Decision-Making

Train managers in data visualization, analytical processes, and generating insights for data-driven strategic decision-making.

Why this program

Unlock the full potential of your data: visualize, interpret, and act with greater confidence and precision.

Managers today are surrounded by data, yet turning it into clear decisions remains a challenge. Good visualisation makes patterns visible, trends understandable, and choices easier to defend. This program introduces managers to the principles of data analytics and visual communication, without requiring a technical background. Participants will learn to frame business questions, select suitable charts, build interactive dashboards, and interpret results with care. Using hands-on exercises with widely used tools, they will practise turning raw numbers into insights that guide planning, performance tracking, and strategy. The program builds confidence in using data for faster, better-informed decisions.

Who should attend

Junior and middle-level executives working in finance, operations, marketing, HR, MIS, planning, and strategy functions of government departments, PSUs, autonomous bodies, and private sector companies.

Apprentices and researchers who wish to make a career in Business Analytics and Data-Driven Management.

What participants take away

  • Build proficiency in data visualization tools and techniques relevant to managerial contexts
  • Develop the ability to identify patterns, trends, and anomalies in business data
  • Strengthen decision-making through structured analytical thinking and insight generation
  • Create compelling visual reports and dashboards tailored for diverse stakeholder audiences
  • Bridge the gap between data teams and business functions for smarter organizational outcomes

Learning outcomes

  • Understand the role of analytics and visualisation in managerial decision-making
  • Choose appropriate charts and visuals to represent different types of data
  • Build dashboards and reports that track performance and highlight insights
  • Interpret data critically and avoid common errors in analysis and presentation

Fees and upcoming sessions

Fee Residential ₹30,500 · Non-residential ₹22,500 + GST per participant

Fees include tuition, materials and meals. Residential also includes one night of accommodation; extra nights are charged separately.

  • Early bird discount: 10% if you register 45 or more days before the program
  • The early bird discount cannot be combined with any other offer
  • Group discount: 7% for 10 or more, 15% for 25 or more participants
  • Several sessions or programs: contact us for better pricing

Common questions

The fee covers tuition, program materials and meals on each program day. The residential fee also includes one night of accommodation. Nights before or after the program are charged separately. The non-residential fee covers everything except accommodation.

No. Fees are shown before GST, which is added at the applicable rate.

Yes:

  • Early bird: 10% if you register 45 or more days before the program. It cannot be combined with any other offer.
  • Groups: 7% for 10 or more participants and 15% for 25 or more.
  • Several sessions or programs: contact us for better pricing.

9 am to 5 pm on each program day.

Yes. Participants who complete the program receive a Certificate of Completion.

Open sessions are held in Hyderabad.

Upcoming dates are listed on this page. Where it says "Dates on request", send an enquiry and we will tell you the next date.

Send the enquiry form on this page. We confirm your place and send an invoice.

By bank transfer, or another method stated on our invoice. No payments are taken on this website.

  • Within 24 hours of registering, or more than 30 days before the program: no charge.
  • 15 to 30 days before: 5% of the fee or ₹2,000, whichever is higher.
  • From 15 days to 48 hours before: 10% of the fee.
  • Less than 48 hours before: 25% for individuals, 50% for groups.

See our cancellation policy for the full terms.

Yes, at no extra cost, if you tell us at least 48 hours before the program.

No refund is given for a no-show.

Refunds are paid within 15 to 20 working days of the cancellation.

If we cancel, you receive a full refund. If we reschedule, you have 72 hours to cancel with no charge.

Yes. Use "Request it in-house" below the enquiry form, or choose "Customized program" in the form.

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About: Data Visualization and Analytics for Managerial Decision-Making

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