“Data analytics is not magic, or voodoo. Data analytics is a business vertical like any other that has it’s own supply chain dynamics, market place, and laterally integrated processes and operations parameters. If your business is not working at capacity or delivering the ROI that it should be, re-design and re-align your business strategy. Data alone will not solve the underlying business strategy problems.” Frank Alfieri ( 19.05.2015 )

“The era of simple bar graphs and pie charts is over. Big Data requires a different approach to visualizations; one that will significantly impact your organisation’s bottom-line if carried out correctly. Companies that have become data-driven and information-centric understand this. They have made visualizations of large data sets an integral part of their decision making. Visual data analytics goes beyond standard reporting and is all about rich interactive visualizations where anyone can explore data and discover new insights. Proper data visualizations are all about exploring, deducing and discovering data in an intuitive way.” Mark van Rijmenam ( 17.07.2014 )

“Some of the best scientists out there are the ones who are extremely opportunistic – when they see novel ideas and how things suddenly fit together, they drop everything else and work on that for a while.” Eric Jonas

“The most interesting types of data are those collected for one purpose and used for another.” Erin Shellman

“People now leave a trail of data-crumbs wherever we travel. Supermarket loyalty cards, text messages, credit card transactions, web browsing and social networking. The power of this data emerges, like that of capital, when it’s accumulated. (…) Where does this power come from? Cross linking of different data sources can give deep insights into personality, health, commercial intent and risk. The aim is now to understand and characterize the population, perhaps down to the individual level.” Neil Lawrence ( 2015/03/05 )

“Intuition and gut feeling alone are no longer enough.” Christoph Nieberding ( 03.04.2019 )

“If you wish to make an apple pie from scratch, you must first invent the universe.” Carl Sagan

“Predictive modeling tools and services are undergoing an inevitable step-change which will free data scientists to focus on applications and insight, and result in more powerful and robust models than ever before. Amongst the key enabling technologies are new hugely scalable cross-validation frameworks, and meta-learning.” Dr. Justin Washtell ( February 26, 2015 )

“In analyzing data, the main criterion for deciding whether to treat a variable as discrete or continuous is whether the data on that variable contains a large number of different values that are seldom repeated or a relatively small number of distinct values that keep reappearing. Variables with few repeated values are treated as continuous. Variables with many repeated values are treated as discrete.” Wild & Seber

“Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores.” Mark Smith ( February 3, 2015 )