Creating an Ecosystemfor Quality

An introduction to the world of data analytics, covering basic aspects of data gathering and hands on exposure to few data analysis tools using MS Excel to enable more focused and actionable insights to make informed decisions to improve manufacturing operations faster and in a more effective manner.

In today’s world, data gathering, analysis and presentation play a very important role. Well presented data helps everyone make more informed decisions. Be it new entrepreneurs presenting their ideas to potential investors or employees trying to showcase their abilities to top management everyone who understands and knows how to analyse and present data always has an edge over others.

This course takes you through the basics and covers concepts that help you get started on your journey of Data Analysis using excel. It also provides the much needed hands on experience with a few of the tools that you can use in your day to day life. If a picture is worth a 100 words then properly analysed and well presented data is worth a 100 pictures or more.

2 Days Workshop on

‘Competing through Data Analytics’ A step towards Manufacturing excellence

Date: 8th-9th February, 2019 | Time: 9:30 AM - 5:30 PM

Venue: Quality Conference Hall, Institution of Engineers Building, 2nd Floor, 2, Bahadur Shah Zafar Marg,

New Delhi-110002

PROGRAM SCHEDULE

LAST DATE FOR REGISTRATION: 31st JANUARY, 2019 (THURSDAY)

REGISTER NOW

PROGRAM FEES

Others

Fee (non refundable) includes Course Materials, Food & Beverages

4779/-

Basic Fee: 4050/-GST @18%: 729/-

QCI Members

5310/-

Basic Fee: 4500/-GST @18%: 810/-

PROGRAM COORDINATOR

Shivesh Sharma: 8826258078, shivesh.nabet@qcin.orgShruti Gupta: 9810268753, shruti.nbqp@qcin.org

Registration Link: http://bit.ly/2F1G1hs

INTRODUCTION

NBQP

KEY TAKEAWAYS

In the manufacturing sector there are many instances where we can use data analysis and help the management take better decisions, this data analysis basic course will help you learn the following and more,

Identifying areas to reduce over all cost

Opportunities to reduce machine breakages

Identifying any special variation in the production line and taking remediatory actions

To make the participants well versed in different theoretical as well as practical nuances of data analysis using MS Excel and different case studies

Hands on practical experience on all the tools taught

WHO SHOULD ATTEND?

Engineers, Managers from manufacturing related depts like production, quality, technical, supply chain,operations etc

Professionals from support departments like administrative, HR, finance, Sales, IT etc

Entreprenuers, Data presenters, Students and professonals who are interested in learning basics of DA using Excel and its implementation

People who have an aptitude and interest in Statis-tics, Mathematics, Engineering etc. and are keen to utilize the topics of Data Analytics to further their knowledge in their respective academic and professional fields

Pre-requisites :

Familiarity with MS Excel with basic hands - on

Kindly carry your laptops, preferably fully charged, along with the charger as supported accessory and with MS Office (2013 or above) installed and fully operational

TIME ACTIVITY (DAY-1)

TIME ACTIVITY (DAY-2)

09:30–10:00 hrs Registrations

10:00–10:30 hrs

Introduction - An Overview-- Getting Started:- What is data analytics, what is it used for-- Mathematics, Statistics and Analytics: What are these and how do they help in achieving the objective-- Communicating Data insights: Presenting results to the key stakeholders.

11:20–11:35 hrs Tea / Coffee Break

Tea / Coffee Break16:00–16:15 hrs

Enabling analysis of manufacturing data -- Concepts & tools used

15:00–16:00 hrs

Tea / Coffee Break 11:15–11:30 hrs

Use Case: Graphical Representation of productivity of a plant/unit over a period of time using:-- Continuous data representation-- Discrete data representation

11:30–12:15 hrs

Enabling analysis of manufacturing data continued...Concepts & tools used16:15–17:00 hrs

Q & A, Revision and Wrap up (Day 1)17:00–17:15 hrs

Recap of Day 110:00–10:15 hrs

Tea / Coffee Break

Revision-Day 2, Q & A17:00–17:15 hrs

Certificate Distribution17:15–17:30 hrs

16:00–16:15 hrs

Introduction: Different graphical representation methods, & analytics tools.

10:15–10:30 hrs

Presenting and analysing manufacturing data Use Case: Comparing productivity of two units

10:30–11:15 hrs

13:00–14:00 hrs Lunch break

12:15–13:15 hrs

Lunch break13:15–14:00 hrs

14:00–15:00 hrs

DA Tools Usage: Tools to present data in an effective and easy to understand manner to the top management

15:00–16:00 hrsDA tool Usage: Establishing relationship between two variables - verifying suspected cause(s) of the production problems

10:30–11:20 hrs

Basics of Data Analytics - From a manufacturing stand point-- Types of Data: Types of data and their differentiation-- Types of Analytics: Analytics in existence

11:35–12:25 hrs

-- Data gathering: Ways and Means-- Data Sampling-- Data Stratification: Analysing manufacturing data from the most sensible angle-- Hands - on exercises

12:25–13:00 hrs

Elementary Statistics: Understanding Data Analytics for manufacturing perspective-- Measures of central tendency-- Understanding the bell/normal curve-- Understanding Deviation-- Understanding standard deviation

14:00–15:00 hrs Elementary Statistics continued..

DA Tools Usage: Plant Breakdown, identifying top 20% root causes to start solving the issues

16:15–17:00 hrsDA tools Usage: Tool for tracking and ensuring that the production/specification stays within the required limits