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Business Analytics

Transcript: By: Michael Turriff Business Analyst Career Choice http://www.iiba.org/Careers/What-is-Business-Analysis.aspx Tasks Investigating goals and issues Analyzing information Communicating with a broad range of people Evaluating solutions Putting the responsibility in effect Daily Responsibilities Normally done in office environment Some computer based Project based meaning deadline is very long May speak with client often May need to travel far Working Conditions Conditions Analytical- abilitiy to find solution Technical- Being able to program and model based off statistics Knowledge- To understand the business and understand math Person- Ability to communicate with people Skills Needed Talent Diploma High School Education EDU College Education Bachelor's Degree Master's Degree National Median- $65,973 National Range- $50,000-93,000 Green Bay Median- $47,380 Green Bay Range- $42,000-70,000 Salary $ Unniversity of Pennsylvania New York University University of Michigan-Ann Harbor Ann Arbor Michigan Bachelor's, Master's, and Doctoral Out-of-State Undergraduate $43,476 Out-of-State Graduate $41,688 https://www.umich.edu/ Top College Top College Websites Sources https://www.batimes.com/articles/a-day-in-the-life-of-a-business-analyst.html https://myjobsearch.com/careers/business-analyst.html https://www.glassdoor.com/Career/Overview/Business-Analyst.htm http://study.com/articles/Business_Analyst_Educational_Requirements.html https://learn.org/articles/What_Education_is_Required_to_be_a_Business_Analyst.html http://study.com/articles/Schools_with_Business_Analyst_Programs_How_to_Choose.html http://www.businessanalystbootcamp.com/wp-content/uploads/2012/09/what_why_where_when_how.jpg https://resources.workable.com/wp-content/uploads/2015/08/business-analyst-640x230.jpg https://www.mba-healthcare-management.com/wp-content/uploads/2015/10/university-of-michigan-ann-arbor-bachelor-of-science-in-informatics.jpg http://qabatraining.com/wp-content/uploads/2017/10/business-analyst-01.jpg http://pmstories.com/en/wp-content/uploads/2008/09/Business_Analysis02-818x400.jpg

Business Analytics

Transcript: Presented by DOINA TOFAN Student Number: 14415072 Literature Review INTRODUCTION INTRODUCTION Motivation is one of the key factors influencing employee performance. We know that it is necessary to invest time, energy and financial resources to keep our employees motivated. WHAT MOTIVATION IS NOT? 1ST SOURCE Motivation is '' what causes people to behave as they do''. Directly Observable DIRECTLY OBSERVABLE The same as satisfaction THE SAME AS SATISFACTION Always Conscious ALWAYS CONSCIOUS Directly Controllable DIRECTLY CONTROLLABLE TWO FACTOR THEORY 2ND SOURCE FREDERICK HERZBERG COMPANY POLICY AND ADMINISTRATION SALARY INTERPERSONAL RELATIONS WORKING CONDITIONS HYGIENE FACTORS HYGIENE FACTORS MOTIVATIONAL FACTORS MOTIVATIONAL FACTORS ACHIEVEMENT RESPONSABILITY RECOGNITION ADVANCEMENT 5 LEVEL HIERARCHY OF NEEDS 3RD SOURCE ABRAHAM H. MASLOW Physiological Safety Love/Social Esteem Self-actualization David McClelland’s Three Needs Theory 4TH SOURCE NEED FOR ACHIEVEMENT Need for power Need for affiliation CONCLUSION CONCLUSION David McClelland's Theory Maslow's Theory VS Hezberg's Theory Robert Denhardt VS Herzberg's theory ANY QUESTIONS? THANK YOU

Business Analytics

Transcript: Solution: - Polaris system that collects and analyzes user’s data Outcome: - Provides actual-versus-forecast reporting - Prompt projections Take Our Poll ! Log onto: WWW.SLIDO.COM Event # 5590 Need: - Raise guest spending - Improve services for visitors - Staff more efficiently Cincinnati Zoo Business Analytics Image Credit: IBM & The Atlantic.com Outcome: - Predict customer habits, and target people for specific products and deals. QUESTIONS? BA Methods -Descriptive: analyzes past data -Predictive: prepares for the future Providers SAS, IBM, SAP, Microsoft, Oracle ISM4011 Group #3 Solution: - Integrated Zoo's POS systems - Implemented IBM business analytics software Need: - Understand consumers to better service their needs Bank of America Business Analytics Yosmar Barrios Katherine Delgado Andrea Diaz Deborah Eckhoff Gretchen Rosenow Business Analytics What is Business Analytics Outcome: - Increased in-park spending by 25% - Increased responsiveness to visitor preferences Business Analytics The skills, technologies, and practices for continuous iterative exploration and analysis of data and statistics to gain insight and drive business planning Solution: - SAS (Statistical Analysis System) - Data mining tools - Predictive modeling - Forecasting - Statistical analysis - Interactive dashboards WALMART Need: - Serve customers - Access customer data

Business Analytics

Transcript: How does we collect reliable metrics? Executive Level Service Realizing the probability of a threat or vulnerability will mitigate loss or harm to organizational resources, keeping negative impact at a minimum. Metrics Analyzing data gathered allows us to identify user needs based on their perspective. And to that end... Continuous Measurable Improvement Business Analytics for Army System Optimization Adding Value A well thought out service design package can keep costs down, streamline IT processes, ensure business needs are met, and improve quality of service. Service Strategy Business Analytics provide helpful, measured data that give a leader insight into what is going right in their area of responsibility and what needs improvement. We need consistent data in order to remain competitive and relevant in today's market. Google Analytics Managing Risk We analyze data, eliminate waste, improve popular aspects and innovate. Establishing Trust CardioLog Service Design The purpose of service design documentation is to addresses a multitude of issues that can cripple necessary systems. It keeps an organization in compliance with governance, policies, and processes. The user is accustomed to a high level of service and therein lies the value. Value of Service Design

Business Analytics

Transcript: - Three to Four years minimum 1. Follow through with your promises and explanations 2. Detail orientation 3. Critical thinking skills 4. Resourcefulness Ability to go into a wide field of workplaces Because of their business experience, they can fill in for tons of jobs EX: Business consultant, Marketing Manager, Marketing Director “Role of Consultant.” Role of Consultant | The Denver Foundation Inclusiveness Project, www.nonprofitinclusiveness.org/role-consultant. - Most of the time, self employed What is a Consultant? Sources “Consultant Job Description - How to Become a Consultant.” Snagajob, www.snagajob.com/job-descriptions/consultant/. How do I become a Consultant? Education and Training Aptitudes and Values Muse, T. (2017, February 27). Be The Best Consultant Ever: 6 Things That Will Make You Great. Retrieved October 31, 2017, from https://www.forbes.com/sites/dailymuse/2013/11/05/be-the-best-consultant-ever-6-things-that-will-make-you-great/2/#775f616e50ee How can a consultant further the Kingdom of God? - A consultant is an adviser who provides their expert advice in a variety of different fields (Bridal, leasing, media, etc.) - help businesses attain goals and solve problems within their business - Responsible for collecting and analyzing data to benefit the company they are working for. Salaries and Benefits Zach Anderson Michael Fritchman Taylor Weiss Business consultants receive full benefits if they work for larger companies. often business consultants own their own practice meaning they don't have the benefits working for other companies - Strong analytical, research skills - Communication and presentation skills - Not hard to find a job straight out of college - Self-employed What makes a good consultant? (Advertising, Product Placement) How long will it take to become a Consultant? - Most of the time, earn a degree in Business Administration, Marketing, any related degree Average Salary: $72,000 Starting Salary: $46,206 Integration https://www.payscale.com/research/US/Job=Business_Consultant/Salary - Knowledge of digital marketing/performance Business Analytics: The Consultant A business consultant can help the Kingdom of God by helping His church. "My son, preserve sound judgment and discernment, do not let them out of your sight...Do not withhold good from those whose deserve it, when it is in your power to act." Proverbs 3:21, 27 "If any of you lacks wisdom, he should ask God, who gives generously to all without finding fault, and it will be given to him. James 1:5 - Internships Advancement Opportunities

Business Analytics

Transcript: DATA VISUALIZATION DATA VISUALIZATION 1 DESCRIPTIVE ANALYTICS 2 PREDICTIVE ANALYTICS 4 Forecasting Techniques PREDICTIVE ANALYTICS 3 Trendline and Regression Analysis SPREADSHEET MODELS 5 Ms. Darizel Joy V. Borja Course Instructor Introduction to Business Analytics Business Analytics (ANA 402) Objectives Objectives Objectives To discuss several important techniques for enhancing visual presentation. To discuss several important techniques for enhancing visual presentation. Objectives To present tables and charts in detail for data visualization. To present tables and charts in detail for data visualization. Business Analytics What is Business Analytics? It is the scientific process of transforming data into insight for making better decisions. Business Analytics in a Nutshell Data Collection Business Analytics Data Preparation Data Visualization Data Analysis Data Storytelling Data Visualization 1 Definition Terminologies Data Visualization It is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and extract insights from. Terminologies Data-Ink Data-Ink The ink used in a table or chart that is necessary to convey the meaning of the data to the audience. Non-Data Ink Non-Data Ink The ink used in a table or chart that serves no useful purpose in conveying the data to the audience. Data-Ink Ratio A principle of creating effective tables and charts for data visualization. Data-Ink Ratio Which has a high data-ink ratio? Knowledge Check A B Which has a high data-ink ratio? Knowledge Check A B Importance of Data Visualization Importance of Data Visualization Importance of Data Visualization The following are some importance of using data visualization: the ability to absorb information quickly, improve insights, and make decisions more quickly a better understanding of the next steps needed to improve the organization an improved ability to keep the audience's attention with information that they can understand; an easy distribution of information that increases the opportunity for everyone involved to share insights data scientists are no longer required because data is more accessible and understandable an increased ability to act quickly on findings and, as a result, achieve success with greater speed and fewer errors Table or Chart? You should use table for the following instances: The reader needs to refer to specific numerical values. The reader needs to make precise comparisons between different values and not just relative comparisons. The values being displayed have different units or very different magnitudes. Exercise A B Descriptive Statistics Descriptive Statistics What is Descriptive Statistics? Descriptive statistics refers to a set of methods used to summarize and describe the main features of a dataset, such as its central tendency, variability, and distribution. These methods provide an overview of the data and help identify patterns and relationships. Distribution Distribution It comprises a collection of values for a variable, along with the frequency of each value's occurrence. Distribution Central Tendency The central tendency of a distribution involves determining the "center" of the value distribution. Central tendency estimates can be classified into three general types: mean, median, and mode. Central Tendency Central Tendency Dispersion Dispersion occurs when values deviate from the mean. The two main types of dispersion most commonly encountered are the range and the standard deviation. This articulates the two extremes in a comparable manner. The Standard Deviation indicates how much a single score differs from the mean. In instances of extreme scores, this can significantly increase the range. Dispersion Dispersion Steps in Interpretation and Analysis Steps in Interpretation and Analysis Step 1 Describe the size of the sample. 1 One thousand (1,000) respondents were surveyed as to their level of work satisfaction. 2 Step 2 Describe the center of the data. The average level of satisfaction (2.71) and median (2.70) show that the respondents are moderately satisfied with their work. Describe the spread of the data. 3 Step 3 The skewness (-0.04) and kurtosis (-0.90) show that the distribution is fairly symmetrical with light tails. Skewness Skewness Fairly Symmetrical -0.5 to 0.5 Moderately Skewed -1 to -0.5 or 0.5 to 1 Highly Skewed < -1 or >1 - is a measure of asymmetry or distortion of symmetric distribution - it measures the deviation of the given distribution of a random variable from a symmetric distribution, such as normal distribution. A normal distribution is without any skewness, as it is symmetrical on both sides. Kurtosis Kurtosis Kurtosis is a measure of the combined weight of a distribution's tails relative to the center of the distribution. Normal Distribution Close to 0 Light Tails Less than zero Heavy Tails Greater than zero Interpretation and Analysis One thousand (1,000) respondents

Business Analytics

Transcript: IBM Business Analytics in Insurance Role of Analytics in The Travelers Analytics Defined Introduction Emerging Trend in Business Analytics Evolving with Analytics - IBM Coffee + Conversation Descriptive Analysis: It is the analysis we get from our web server and it helps in quickly understanding what has happened in the past. Diagnostics Analysis: To go deeper into the data and understand why it has happened business intelligence tools can be used to get the insights. Predictive Analysis: Collecting data and correlating it with other user behavior datasets a whole new area is created to get real insights which helps in predicting about "What is likely to Happen?". Prescriptive Analysis: Once the future is predicted as what is going to happen it becomes easy to analyze what should be done in order to maximize good outcomes and also prevent potentially bad outcomes. Analytics in the World of Decision Making Before Analytics: Insurance companies like Travelers have TBs of data stored in warehouses since years. To them, data was useless and made no sense until the field of Business Analytics strongly came into the enterprise world. Thank You In the late 2000's business analytics was introduced to represent the key analytical component in BI. Based on a survey of over 4,000 information technology(IT) professionals from 93 countries and 25 industries, the IBM Tech Trends Report(2011) identified business analytics as one of four major technology trends in the 2010s. ("A 2012 publication on Business Intelligence and Analytics authored by, Hsinchun Chen, Roger H. L. Chiang & Veda C. Storey ; Decmber,2012") Analytics is an emerging field of modern data analysis used to help companies and people drive important decisions. Analytics revolves around the data that exist on a daily basis. Business analytics comprises of solutions used to build analysis models and simulations to create fact based management to drive decision-making. Advantages: Background: As per many companies, there are huge opportunities in the field of Analytics but, they have a fairly limited budget and resource pool to deploy. Another challenge faced by many companies is with historic IT infrastructure which isn't optimal for big data analytics, so some of the data extraction processes are fairly clunky. Apart from this the triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you've gained to transform your operations. Misconceptions around these tasks trip up many companies The gap between relevant analytics and user's strategic business needs is characterized by several challenges: 1. Cycle time 2. Analytic time and expertise 3. Business goals and metrics 4. Goals for data collections and transformations 5. Distributing analysis results 6. Integrating data from multiple sources ("A 2002 publication of the emerging trends in business analytics, authored by Ron Kohavi, Neal J. Rothleder, Evangelos Simoudis; August 2002") Market Share & Statistics Big Data Analytics Market size by Business Category http://hmchen.shidler.hawaii.edu/Chen_big_data_MISQ_2012.pdf http://dl.acm.org/citation.cfm?id=545177 http://en.wikipedia.org/wiki/Business_analytics http://www.forbes.com/sites/louiscolumbus/2014/06/24/roundup-of-analytics-big-data-business-intelligence-forecasts-and-market-estimates-2014/ http://www.statista.com/statistics/267785/global-market-share-held-by-business-analytics-software-vendors/ http://www.pewinternet.org/2012/07/20/the-future-of-big-data/ http://www.gartner.com/it-glossary/business-analytics http://www.snia.org/sites/default/files2/ABDS2012/Tutorials/RobPeglar_Introduction_Analytics%20_Big%20Data_Hadoop.pdf http://searchbusinessanalytics.techtarget.com/definition/business-analytics-BA www.youtube.com Lessons Learned Insurance Industry: The Travelers Travelers provides insurance for individuals and for business: Types of Analytics At travelers, the department of Analytics is widely active and contributes a lot towards the decision making process in almost every major department like New Insurance Purchase or Claims etc. By running data onto Analytical tools, they get an idea of the factors that contribute towards the nature of a new purchase or any claim made.. The factors effecting the business decision are very well identified and worked upon at this company. The Travelers Company is an American Insurance Company based in NewYork Incorporated as St. Paul Fire & Marine in 1853, merger of the St. Paul Companies and Travelers Property Casualty Corp. in 2004. Second largest writer of US commercial property casualty insurance. Third largest writer of US personal insurance. It has more than 30,000 employees and operations in the United States and selected International markets. It generated revenues of $26 billion in 2013. Facilitates the cost benefit analysis Gives a more accurate value of the

Business Analytics

Transcript: Predicting Delinquent Customer Credx company data Credit card provider having approx 70k customers. Demographic data: Includes customer level information on age, gender, income etc. Credit Bureau data: Includes the variables such as 'no of times 30DPD or worse in last 3/6/12 months', outstanding balance, number of trades etc. Introduction Performance tag PERFORMANCE TAG Both the files contain a performance tag which states that whether the customer is defaulted or not. If the customer is paying loan on time or the customer has gone 90 days past due or worse in the past 12 months after getting a credit card. Analysing the given data Analysing the given data 1. According to the given data, We can say that age group of most of the CredX customers are between 35 to 55. 2. Number of males customers in the CredX company are thrice than the number of Female customers. 3. There are 71295 customers, out of which approx 61000 are married. 4. Most of the customers have 3 dependents whereas few customers have only 4 to 5 dependents. REsults DATA CLEANING There are 1425 customers who are not paying the credit card loan back on time that means almost 5% customers are defaulters. First, We checked the duplicates in the data by using group_by function. There are 3 duplicates in both of the data i.e. Credit Bureau and Demographic data. Checking Duplicates We checked the class of all the variables, if categorical independent variables are factors, if dependent categorical variable is integer (not factor), both of these are done to use the woe and IV functions effectively Class of all variables checking for NA in Performance.Tag i.e dependent categorical variable, missing values in dependent variable cannot be practically solved, thus we resort to removing them from the dataset. CHECKING FOR NA IN PERFORMANCE TAG WOE FUNCTION WOE & IV FUNCTION It can handle the missing values by creating separate bins for missing values. Easy to remove outliers. It can handle the categorical data. There are a number of unavailable entries (NA) and outlier values within the data, We will replace these values with the respective WOE values, indicating a relationship with the respective target value. For this, we make use of the scorecard package. WOE ANALYSIS We have plotted woebin of Average Credit Card Utilization in last 12 months, there are 4 bins in the graph. we can see that woe_bin created one extra bin for missing values that means 1.5% values are missing from this data. Almost 50.9% customers used their CC from 1 to 16 times in a year where as only 9.3% customers used their card more than 16 and below 24 times. We can see that 72.3% of customers delayed their payment 1 times whereas only 11% of customers delayed their payment in 90 days more than 2 times. EXAMPLE 2 IV STATISTICS iv statistics It helps to rank variables on the basis of their importance. CREDX IV ANALYSIS Vinayak Balachandra Menon kamaldeep kaur Xinkai Zhou Team

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