Creating Your Analytics Portfolio

What is an Analytics Portfolio? How do you write an Analytics Portfolio? This post introduces the portfolio structure as a way to showcase your analytical skills and abilities.

Diamond Model of Applied Analysis

How do you structure an analysis? The Diamond Model of Applied Analysis offers a simple way to approach analysis and increase its relevance and trustworthyness.

Time series analysis with powerful tools

There are a lot of aspects to time series analysis. One method is called Holt-Winters and uses exponential smoothing to handle trend and seasonality. If you want, you can read about it in the original paper called “Forecasting Sales by Exponentially Weighted Moving Averages” by Peter R. Winters […]

(Swedish) Ranking av städer

Tidskriften Fokus gör varje år en ranking av Sveriges kommuner utifrån frågan: Var är det bäst att leva? På länken nedan kan du ta del av rankingen, se särskilt länk till PDF med alla poäng. Läs igenom materialet och se om det är tydligt hur rankingen är gjord. […]

Text Analytics on Customer Reviews

When the input data is text, such as customer reviews, we cannot use the quantitative techniques without prior coding of the text. To experiment with text analytics, you can use a dataset such as this: https://www.kaggle.com/daishinkan002/men-women-shoes-reviews containing product reviews (of shoes). In this dataset, the variable “reviews” contains […]

Will the customer buy?

A key challenge to marketing campaigns is to target the customers that are likely to buy, and not waste time and money on those who are less likely to buy. On Kaggle, there is a dataset from a Portugese bank’s marketing campaign. See Bank marketing campaigns dataset | […]

Predict Annual Spending in E-Commerce

Use the data available at https://www.kaggle.com/kolawale/focusing-on-mobile-app-or-website What Questions can you formulate, considering the data you have? What Conceptual reasoning do you suggest? What Analytics approach could be appropriate? What Results do you get? On Kaggle, users can submit reports on their approaches. Now have a look at one […]

Conceptualization through Pictionary

Developing the Concepts is about finding the key aspects, dimensions and perspectives on whatever the analysis aims to understand. The development of Concepts is likely to result in a “model”, specifying which aspects you include in your analysis (other aspects may be relevant, but if they are not […]

Ethics of Big Data Analytics

Read this case describing how Target used analytics to identify certain customers:https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/ What was the Question guiding their Analysis? What were the Concepts? Can you guess what analytic techniques they used? What were the Results? What value did the analysis create? For whom? Reflect on the ethics of […]

Business Value from Analysis

Analysis should create some sort of value. It can support decision-making, personalize an experience, or predict and avoid mistakes. Sometimes we have to remind ourselves of what “value” the analysis should deliver, and to whom. What distinguishes Business Analytics from other Analytics (including the generic data-centered “Analytics”) is […]

Which company will first go bankrupt?

Which of the following companies will first go bankrupt*: Facebook, H&M, or Tesla? Use the Analytical Diamond to structure your analysis. Specify/rephrase the Question as needed. Make assumptions where needed, and be explicit about them. Define Concepts according to your understanding of the phenomenon – or previous research […]

Assignment: Analytics Portfolio

Requirements for the course FOA235 – INL1 For your life-long learning, and development and display of skills, you are free to design the analytics portfolio in whatever way that suits you. However, for the examination in the course, your portfolio must include: A first page containing: Your name, […]