This document outlines the topics to be covered in a statistics course for managers. It includes 5 units: introduction to statistics, measures of central tendency and dispersion, tabulation, small sample tests, and correlation, regression, and time series analysis. The course aims to help managers make effective use of data analysis in business decision making. It will teach statistical and graphical techniques to organize and understand sample data. Students will learn to select the appropriate statistical method for different data analysis needs and build models for business applications.
Data Analysis & Interpretation and Report WritingSOMASUNDARAM T
Statistical Methods for Data Analysis (Only Theory), Meaning of Interpretation, Technique of Interpretation, Significance of Report Writing, Steps, Layout of Research Report, Types of Research Reports, Precautions while writing research reports
Please acknowledge my work and I hope you like it. This is not boring like other ppts you see, I have tried my best to make it extremely informative with lots of pictures and images, I am sure if you choose this as your presentation for statistics topic in your office or school, you are surely going to appreciated by all including your teachers, friends, your interviewer or your manager.
Data Analysis & Interpretation and Report WritingSOMASUNDARAM T
Statistical Methods for Data Analysis (Only Theory), Meaning of Interpretation, Technique of Interpretation, Significance of Report Writing, Steps, Layout of Research Report, Types of Research Reports, Precautions while writing research reports
Please acknowledge my work and I hope you like it. This is not boring like other ppts you see, I have tried my best to make it extremely informative with lots of pictures and images, I am sure if you choose this as your presentation for statistics topic in your office or school, you are surely going to appreciated by all including your teachers, friends, your interviewer or your manager.
CRM 101: What is CRM?
This is a simple definition of CRM.
Customer relationship management (CRM) is a technology for managing all your company’s relationships and interactions with customers and potential customers. The goal is simple: Improve business relationships to grow your business. A CRM system helps companies stay connected to customers, streamline processes, and improve profitability.
When people talk about CRM, they are usually referring to a CRM system, a tool that helps with contact management, sales management, agent productivity, and more. CRM tools can now be used to manage customer relationships across the entire customer lifecycle, spanning marketing, sales, digital commerce, and customer service interactions.
A CRM solution helps you focus on your organization’s relationships with individual people — including customers, service users, colleagues, or suppliers — throughout your lifecycle with them, including finding new customers, winning their business, and providing support and additional services throughout the relationship.
Who is CRM for?
A CRM system gives everyone — from sales, customer service, business development, recruiting, marketing, or any other line of business — a better way to manage the external interactions and relationships that drive success. A CRM tool lets you store customer and prospect contact information, identify sales opportunities, record service issues, and manage marketing campaigns, all in one central location — and make information about every customer interaction available to anyone at your company who might need it.
With visibility and easy access to data, it's easier to collaborate and increase productivity. Everyone in your company can see how customers have been communicated with, what they’ve bought, when they last purchased, what they paid, and so much more. CRM can help companies of all sizes drive business growth, and it can be especially beneficial to a small business, where teams often need to find ways to do more with less.
Here’s why CRM matters to your business.
CRM is the largest and fastest-growing enterprise application software category, and worldwide spending on CRM is expected to reach USD $114.4 billion by the year 2027. If your business is going to last, you need a strategy for the future that’s centered around your customers, and enabled by the right technology. You have targets for sales, business objectives, and profitability. But getting up-to-date, reliable information on your progress can be tricky. How do you translate the many streams of data coming in from sales, customer service, marketing, and social media monitoring into useful business information?
A CRM system can give you a clear overview of your customers. You can see everything in one place — a simple, customizable dashboard that can tell you a customer’s previous history with you, the status of their orders, any outstanding customer service issues, and more. You can even choose to include information
CRM 101: What is CRM?
This is a simple definition of CRM.
Customer relationship management (CRM) is a technology for managing all your company’s relationships and interactions with customers and potential customers. The goal is simple: Improve business relationships to grow your business. A CRM system helps companies stay connected to customers, streamline processes, and improve profitability.
When people talk about CRM, they are usually referring to a CRM system, a tool that helps with contact management, sales management, agent productivity, and more. CRM tools can now be used to manage customer relationships across the entire customer lifecycle, spanning marketing, sales, digital commerce, and customer service interactions.
A CRM solution helps you focus on your organization’s relationships with individual people — including customers, service users, colleagues, or suppliers — throughout your lifecycle with them, including finding new customers, winning their business, and providing support and additional services throughout the relationship.
Who is CRM for?
A CRM system gives everyone — from sales, customer service, business development, recruiting, marketing, or any other line of business — a better way to manage the external interactions and relationships that drive success. A CRM tool lets you store customer and prospect contact information, identify sales opportunities, record service issues, and manage marketing campaigns, all in one central location — and make information about every customer interaction available to anyone at your company who might need it.
With visibility and easy access to data, it's easier to collaborate and increase productivity. Everyone in your company can see how customers have been communicated with, what they’ve bought, when they last purchased, what they paid, and so much more. CRM can help companies of all sizes drive business growth, and it can be especially beneficial to a small business, where teams often need to find ways to do more with less.
Here’s why CRM matters to your business.
CRM is the largest and fastest-growing enterprise application software category, and worldwide spending on CRM is expected to reach USD $114.4 billion by the year 2027. If your business is going to last, you need a strategy for the future that’s centered around your customers, and enabled by the right technology. You have targets for sales, business objectives, and profitability. But getting up-to-date, reliable information on your progress can be tricky. How do you translate the many streams of data coming in from sales, customer service, marketing, and social media monitoring into useful business information?
A CRM system can give you a clear overview of your customers. You can see everything in one place — a simple, customizable dashboard that can tell you a customer’s previous history with you, the status of their orders, any outstanding customer service issues, and more. You can even choose to include information
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
Specific ServPoints should be tailored for restaurants in all food service segments. Your ServPoints should be the centerpiece of brand delivery training (guest service) and align with your brand position and marketing initiatives, especially in high-labor-cost conditions.
408-784-7371
Foodservice Consulting + Design
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
2. Course Instructors
Dr. G. NAVEEN KUMAR
B.Sc. (C.S.Engg.), MBA, SLET, PhD
Head of Department
Dr. I. J. RAGHAVENDRA
MBA, M.Com, M.Phil, MHRM, PhD
Associate Professor
Mr. K. SUDHEER
MBA, (PhD)
Assistant Professor
3. COURSE AIM/S
• The course aims to encourage thinking
statistically.
• It will encourage you to develop your abilities
to understand and use data.
• It is designed to equip managers with the
skills to make effective use of data in the
workplace, to develop expertise in a standard
set of statistical and graphical techniques
that will be useful in analyzing data, and to
learn to apply these techniques in a number
of areas of management.
4. COURSE OUTCOME/S
• Appreciate that the collection and statistical
analysis of data improves business
decisions and reduces the risk of
implementing solutions that waste resources
and effort.
• Select and deploy the correct statistical
method for a given data analysis
requirement.
• Achieve a practical level of competence in
building statistical models that suit business
applications.
• Recognize, develop and distinguish between
5. UNIT-I
INTRODUCTION TO STATISTICS
Overview:
Origin and Development - Managerial
Applications of Statistics - Statistics and the
Branches of the Study - Statistics & Computers
- Limitations of Statistics.
6. Objective: To know the origin and development
of statistics and their linkage to management
applications.
Outcome: To understand the importance and
usage of statistics.
Overview: Statistics, quite simply, is about
learning from sample data. You face a group of
individuals - perhaps people, but maybe cans
of tomatoes, or automobiles, or fish in a lake,
or even something as nebulous as calendar
weeks. Thus statistics is a set of concepts,
rules, and procedures that help us to organize
7. UNIT-II
MEASURES OF CENTRAL
TENDENCY
Measures of Central Tendency: Mean - Median
– Mode.
Measures of Dispersion: Range - Quartile
Deviation - Mean Deviation - Standard
Deviation and Co-efficient of Variation.
Skewness: Karl Pearson Co-efficient - Bowley’s
Co-efficient - Kelley's Co-efficient. (Theory and
8. Objective: To know the concepts and their
calculation methods.
Outcomes: To learn the basic calculations and
usage of statistical methods in current
scenario.
9. Overview: One of the important objectives of
statistics is to find out various numerical values
which explain the inherent characteristics of a
frequency distribution. The first of such measures
is averages. Averages are the typical values
around which other items of the distribution
congregate. This value lies between the two
extreme observations of the distribution and give
us an idea about the concentration of the values in
the central part of the distribution are called the
measures of central tendency. It is a statistical
measure that determines a single value that
accurately describes the center of the distribution
and represents the entire distribution of scores.
The goal of central tendency is to identify the
single value that is the best representative for the
10. UNIT-III
TABULATION
Classification and Tabulation: Univariate -
Bivariate - Multivariate Data - Data
Classification and Tabulation.
Graphical Presentation of Data: Diagrammatic
and Graphical Representation of Data - One
Dimensional - Two Dimensional - Three
Dimensional Diagrams and Graphs.
11. Objective: To know the tabulation methods for
representing data in precise manner.
Outcome: To be able to frame the
representation of data in tabular and graphical
methods.
Overview: Data can be collected from a source
by using different methods. Usually the
collected data will be in questionnaires,
schedules or response sheets. It is the duty of
a statistician to consolidate the data. We can
include a huge volume of data in a simple
statistical table and one can easily get an
overview about the sample by observing the
statistical table rather than the raw data. Tables
12. UNIT-IV
SMALL SAMPLE TESTS
Sample Test: t-Distribution - Properties and
Applications - Testing for One and Two Means -
Paired t-test.
Analysis of Variance: One Way and Two Way
ANOVA (with and without Interaction). Chi-
Square distribution: Test for a specified
Population variance - Test for Independence of
13. Objective: To know various sample tests.
Outcome: Students are able to test the data by using
various techniques this can represent data in useful
manner.
Overview: Sampling problems dealt with means and
proportions. Evaluation of the sampling errors was
based on the normal distribution. A small sample
distribution, known as the t-distribution, has to be used
in this case. When samples are small and the
distribution of the variable in the population is not
normal, there is no readily available sampling
distribution. In the case of the mean, the sampling
distribution was normal because the variable was
distributed normally in the population or because the
Central Limit Theorem ensured normality for large
samples. In the case of proportions, the normal
14. UNIT-V
CORRELATION AND REGRESSION
ANALYSIS
Correlation Analysis: Scatter Diagram -
Positive and Negative Correlation - Limits for
Coefficient of Correlation - Karl Pearson’s
Coefficient of Correlation - Spearman’s Rank
Correlation - Concept of Multiple and Partial
Correlation.
Regression Analysis: Concept - Least Square
Method - Two Lines of Regression - Properties
of Regression Coefficients. Time Series
Analysis: Trend analysis - Free Hand Curve -
Moving Averages.
15. Objective: To know the correlation and regression
analysis of data.
Outcome: To be able to analyze the data by using time
series, correlation, regression, etc. and their usage
importance for taking decisions.
Overview : Correlation is statistical Analysis which
measures and analyses the degree or extent to which
the two variables fluctuate with reference to each other.
It indicates that there is some connection between the
variables. It does not indicate cause and effect
relationship. Price and supply, income and expenditure
are correlated. Regression analysis reveals average
relationship between two variables and this makes
possible estimation or prediction. The relationship
between two variables can be considered between, say,
rainfall and agricultural production, price of an input
and the overall cost of product consumer expenditure