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, [email protected] Gupta: 9810268753, [email protected]
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