What is the Hawthorne Effect?

Hawthorne effect The Hawthorne effect is a psychological phenomenon that produces an improvement in human behavior or performance as a result of increased attention from superiors, clients or colleagues. In a collaborative effort, the effect can enhance results by creating a sense of teamwork and common purpose. In social networking, the effect may operate like …

What is the difference between a Data Scientist and a Decision Scientist?

The differences between the job roles of a data scientist and a decision scientist is subtle. While a data scientist is only involved with finding meaning in the chaos of big data, a decision scientist looks at big data with a view to solve a business problem. Decision scientists are nurtured and valued in the …

What is Chaos?

Complete disorder and confusion. A Lorenzian water wheel, which is a Ferris wheel-type contraption with equally spaced buckets of water that rotate around in a circle. Now imagine water being dripped into the system at the very top. Each bucket has a leak, so some water escapes into whatever bucket is directly below the drip. …

How can I become a data scientist?

This needs a considerable amount of thought. Presently almost all programs being offered by universities are post graduate (Master’s) level or certificate courses which presume prerequisites such as fundamentals of computer science, network engineering, programming, and mathematics. ‘Data Science’ is generally considered to be a combination of the following disciplines: 1. Computer Science 2. Statistics …

4 Problems – Cognitive Biases

This is a gist of an interesting article on some of the problems which are an outcome of a certain cognitive bias [Source: https://betterhumans.coach.me/cognitive-bias-cheat-sheet-55a472476b18#.nk7k8geaa] Four problems that biases help us address: Information overload, lack of meaning, the need to act fast, and how to know what needs to be remembered for later. Problem 1: Too much information. …

Great Advice for Data Scientists by Director of Data Science at LinkedIn

Yael Garten, Director of Data Science at LinkedIn, shared the following list of behaviors and qualities that distinguishes exceptional data scientists from the average performers. 1. Request context and envision the answer before you start the work. Average data scientists do what they’re asked and begin building prematurely when often the real question to answer or data product to build is still not understood. …

Dear India and Cyber Wars

The First Worm The Morris worm or Internet worm of November 2, 1988 was one of the first computer worms distributed via the Internet. According to its creator, the Morris worm was not written to cause damage, but to gauge the size of the Internet. The worm was released from MIT in the hope of …

4 Kinds of Survey Error: Sampling, Measurement, Coverage and Non-Response

1. Sampling Error.   Sampling error is essentially the degree to which a survey statistic differs from its “true” value due to the fact that the survey was conducted among only one of many possible survey samples.  It is a degree of uncertainty that we are willing to live with.  Even most non-researchers have a …

Business Intelligence vs Business Analysis vs Machine Learning

Imagine that you are running a fruit store. You start by hiring someone to keep track of the stock level, profit and loss, top-selling fruits, and churn out reports. That’s Business Intelligence (BI), where you care about an accurate account of what happened and what’s going on in your business. You then hire someone to take a look at the reports and work …

Data Integration Tools – Market Study

This post is a brief review of leading Data Integration tools in the market. Heavily referencing from the Gartner 2016 report and peer reviews from my circle.   The Market The data integration tool market was worth approximately $2.8 billion at the end of 2015, an increase of 10.5% from the end of 2014 [2016 …