Data Analytics

Business Metrics: Profitability or Efficiency

07/03/2016 By debkr

Profitability or Efficiency Metrics will be viewed by Production, Operations and Fulfilment/Logistics departments and show the efficiency with which the company is creating and delivering its products or services to its customers.

Typical profitability metrics may include:

1. How much it costs to make the product being sold, e.g. unit costs by product or by product category, total costs of goods sold (in aggregate, or split out by specific item of production). [Read more…] about Business Metrics: Profitability or Efficiency

Business Metrics: Sales or Revenue

07/03/2016 By debkr

Sales or Revenue Metrics will be viewed by the Sales or Marketing departments and show how well (or badly) the company is performing at selling its products or services in the marketplace. All sales-related numbers are included, including those which look at sales from the top-most, big-picture level (e.g. how much did we sell in USA last month), right down to the most granular (how many people responding to one particular pay-per-click campaign went on to buy the product being advertised).

Typical sales metrics may include: [Read more…] about Business Metrics: Sales or Revenue

Functional Analytics: Marketing

07/03/2016 By debkr

Marketing Analytics uses data (marketing/sales/order data) to describe, explain and predict customer behaviour. It allows management to make better business decisions, to optimise marketing tactics and strategies, improve the company’s results and achieve its goals.

There are three kinds of analytics: descriptive, predictive and prescriptive. [Read more…] about Functional Analytics: Marketing

Critical Metrics: Designing Better Management Information Systems

04/03/2016 By debkr

Three kinds of Business Metrics: Sales (Revenue), Profitability (Efficiency) and Risk metrics. (Ref. # 1)

Four types of Functional Analytics: Production (e.g. Publishing), Marketing/Sales, Operational and Financial analytics.

Create a matrix 3 across by 4 down.

Fit all the different possible metrics (appropriate to your specific business) in the relevant sector, being one of the 3 kinds of Business Metrics and one of the 4 types of Functional Analytics. [Read more…] about Critical Metrics: Designing Better Management Information Systems

Business Analytics: Course Listing

04/03/2016 By debkr

Very rough working file of courses covering Business Intelligence, Business Analytics, Relational Database Management and systems skills (Advanced Excel, SQL). Prioritised courses highlighted red. MOOC study forms part of Business Analytics Personalised Training Plan.

Coursera
Business Analytics Specialisation – Wharton (4 courses + capstone project with certification, £367 or £408 PAYG)
Customer Analytics – Wharton (14Mar-25Apr £65, 1st course in above specialisation)

Excel to MySQL: Analytic Techniques for Business Specialisation – Duke Univ. (4 courses + capstone project with certification, £243 or £270 PAYG)
Business Metrics for Data-Driven Companies – Duke Univ. (7Mar-11Apr £54, 1st course in above specialisation)

Parked due to not yet meeting pre-requisites:
Strategic Business Analytics Specialisation – ESSEC Business School (3 courses + capstone project with certification, £207 or £230 PAYG) – Pre-requisites: Able to use R or to program; Knows fundamentals of databases and data analysis (regression, classification, clustering)

Parked due to lecturer’s accent/doesn’t grab the attention:
Data Warehousing for Business Intelligence Specialisation – Univ. of Colorado (4 courses + capstone project with certification, £243 or £270 PAYG)
Business Intelligence Concepts, Tools and Applications – Univ. of Colorado (29Feb-11Apr £54, part of above specialisation)

Business Analytics: PTP and Syllabus

04/03/2016 By debkr

Business Analytics: personalised training plan

Key Learning Objectives
Understand data-rich business environments and their commercial drivers (incl. how they differ from trad. businesses)
Understand and apply business metrics best practice (setting, measuring, reporting, decision-making)
Select and use relevant data tools to solve business problems (competitiveness, profitability, cash flow, marketing)
Understand and apply critical business metrics for internet marketing / direct-response marketing businesses
Apply data analysis best practice (framing the problem, developing robust predictive models, generating insights and value from data, visualising/communicating data and insights) [Read more…] about Business Analytics: PTP and Syllabus

Introduction to Data Science

02/03/2016 By debkr

PTP 5. Data Science Stream / A. Introduction to data science

PTP Outcomes:
Learn about the history of data science, where it’s come from, where it’s going to
Get an overview of the main principles, methods and applications of data science
Understand how data scientists develop insights from raw data, and how they present those insights to others
Become familiar with the most important tools, languages, platforms being used by data scientists
Learn about the fundamentals of data engineering

Some thoughts before I being
My Personalised Training Plan has been set after reasonably extensive research online, taking account of topics covered by various online and offline schools/courses, the advice of Analytics Vidhya and Ajit Jaokar on how to move into a data science career, as well as a review of key skills required by data scientists based on current jobs advertised online (e.g. on LinkedIn). [Read more…] about Introduction to Data Science

« Previous Page