PLE MOOC Business metrics

Business Metrics for Data-Driven Companies

Universidad Politécnica de Madrid

Business Metrics for Data-Driven Companies

FUENTES

ORGANIZAR/ALMACENAR

Smart Grids

DIFUSIÓN

CREAR

Realizado por Carlos Rodríguez Domínguez

Business Metrics

Course Objectives: For this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. This course provides learners with the knowledge and tools to successfully make recommendations to employers about how data analysis could help their business situation. You will learn to:

1. Recognize the most critical business metrics and distinguish them from mere data;
2. Analyze the different roles Business Analysts, Business Data Analysts, and Data Scientists play in various types of companies;
3. Describe the skills required to be hired for, and succeed at, these high-demand jobs; and
4. Define the different data-related roles needed in a company in order to implement and make use of data analysis.

Week 1: Introducing Business Metrics

Course Objectives: For this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. This course provides learners with the knowledge and tools to successfully make recommendations to employers about how data analysis could help their business situation. You will learn to:

1. Recognize the most critical business metrics and distinguish them from mere data;
2. Analyze the different roles Business Analysts, Business Data Analysts, and Data Scientists play in various types of companies;
3. Describe the skills required to be hired for, and succeed at, these high-demand jobs; and
4. Define the different data-related roles needed in a company in order to implement and make use of data analysis.

• What are Business Metrics?
• Revenue, Profitability, and Risk Metrics
• Case Study for Financial Accounting Metrics

1. What are Business Metrics? What are Business Metrics? Definition and 25 Examples A Business Metric is a quantifiable measure that is used to track and assess the status of a specific business process. It's important to note that business metrics should be employed to address key audiences surrounding a business, such as investors, customers, and different types of employees, such as executives and middle managers. Klipfolio.com 2. Revenue, Profitability, and Risk Metrics All business metrics can be classified into three broad categories. Revenue metrics, profitability metrics, and risk metrics. Revenue metrics relate to sales and marketing. Profitability metrics to efficiency and logistics, production, and operations. And risk metrics to risk management, and are widely used by a company's creditors, and outside investors. So, revenue metrics are outward facing. They tell us something about how well or badly the company is marketing and selling its products. The company sales force, typically led by a vice resident of sales, will want to know how many units of each product were sold over a given time interval and how this compares to the same time interval last year and the year before. They will want to look at sales by region, by product and by new versus repeat customers. And they will want to know about the sales funnel, the potential future customers who have been identified, and where they are in the step by step process of moving towards making a purchase. Profitability metrics have to do with the efficiency of the processes by which the company creates and delivers its products and services to customers. These are operational metrics, sought after by those people in the company responsible for production. Typically led in a large company by the chief operating officer. Anything that relates to how much cash is tied up in the form of unsold inventory, how much production is unsaleable due to spoilage or wastage, we didn't sell those mangoes in time, and now they're rotten, like that. Or at the other extreme, how often the company is unable to meet urgent customer requests and loses sales because of insufficient production or inventory. What portion of products off a production line are rejected as defective, how much is spent on variable costs, raw materials and labor, per unit product, etc., etc., etc. These are all efficiency metrics. Finally, risk metrics have to do with tracking and where possible reducing the many potential dangers a company faces. For example, if a company is spending a large portion of its net cash flow every month on interest on its debts, then even a small drop in revenues caused by some external shock, like a recession, could cause the company to become insolvent and collapse. Secured creditors have the right to seize a company's assets if they're not paid on time and that would close down the business.

Week 2: Working in the Business Data Analytics Marketplace

• Introduction to Data-Centric Roles

Introduction to Data-Centric Roles (Videos):Roles and Companies as They Relate to Big Data5 minThe Business Analyst7 minAn Interview with Business Analyst Shambhavi Vashishtha6 minDistinguishing the Business Data Analyst and Business Analyst Roles3 minAn Interview with Business Data Analyst Tiffany Yu4 minSummary of Job Requirements for Data-Centric Roles

Week 3: Going Deeper into Business Metrics

Algunos enlaces relacionados con los temas tratados en los videos son los siguientes: The most expensive key words Ad Relevance Infographic at Kissmetrics

• Web Marketing
• Financial Services - Money Management

Web MarketingWeb Marketing: Metrics6 minWeb Marketing: AdWords7 minWeb Marketing: Segmentation5 minFinancial Services - Money ManagementIntroduction To Return Measures13 minThe Sharpe Ratio8 minPassive and Active Equity Managers14 minVenture Capital Investors and Hedge Funds6 min

Week 4: Final Project

You are a consultant at Egger Consulting. Your job is to extract from the data your client collects a business metric that will help you recommend a protable business process change. Read the following assignment case study information and review criteria, then complete your own assignment and review three peers. We anticipate this entire peer assessment assignment will take you no more than 3-5 hours total, including writing your own submission and reviewing your peers (but not including any review you may need to do as you work on your own submission).A ssignment:You are a business analyst at Egger Consulting. You have been given this case description from a potential client:Happy Hat, a U.S. national chain of frozen yogurt stores with about 500 stores in 40 states is asking for assistance with its business processes. The average number of visitors per store has held constant over the past several years, but revenues per store are down by an average of 10%, and many stores are no longer protable. The client suspects that a large amount of inventory is being thrown away unused at the end of each day. At the same time, customer polling suggests that the yogurt avor customers want is often not available, even when the avor is posted on the menu. People also complain about stores being closed when they visit. Now, the chain is facing increased competition from frozen yogurt sold in 24-hour grocery stores. Happy Hat has asked your team to recommend business process changes that can help them increase revenues and restore protability.Happy Hat currently has the following data available:1. 4 years of cash register data for every store that has, for each transaction, the date and time of the purchase, the specic items purchased, and the sales price of each item purchased. 2. 4 years of delivery data that lists how much of each kind of yogurt mix, avoring, and topping was delivered to each store each week. 3. Typical public company accounting data, including annual revenues, annual cost of goods sold, in-store inventory on hand at the end of the year.No other company data is available.As a business analyst at Egger Consulting, you will need to identify one business metric that could be extracted from the available data in the Happy Hat case study in order to suggest a business process change that could be related to improving Happy Hat’s revenue or store protability.Remember, an eective metric is one that is directly related to the business process being examined. As such, the metric can be used to help identify a business problem to be addressed with a business process change, and later can also help determine if the implemented change was successful (through seeing if the changes in the metric are in the direction you would expect after implementing the business process change)

• The Data Scientist and Software Engineering Roles

The Data Scientist and Software Engineering RolesThe Data Scientist5 minAn Interview with Data Scientist Dai Li4 minThe Senior Software Engineer2 min

• Companies As They Relate to Big Data

Companies As They Relate to Big DataOverview of 5 Types of Companies as they relate to Big Data4 minTraditional Strategic Business Consulting4 minBricks-and-Mortar Companies7 minBarnes and Noble Case Study4 min

Facebook de Coursera

Perfil LinkedinOs dejo el enlace a mi Linkedin donde difundo la realización de los MOOCs. Perfil Linkedin Carlos Rodríguez

Los videos no son exportables, solamente las transcripciones que algunos alumnos han dejado en el foro de Coursera. El resto de información está almacenada y organizada por semanas:

Three interesting links related to the course are: 1. https://en.wikipedia.org/wiki/Data_mining Data mining - Wikipedia Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Wikipedia 2. https://en.wikipedia.org/wiki/Database Database - Wikipedia A database management system ( DBMS) is a computer software application that interacts with the user, other applications, and the database itself to capture and analyze data. A general-purpose DBMS is designed to allow the definition, creation, querying, update, and administration of databases. Wikipedia 3. https://en.wikipedia.org/wiki/MySQL

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