A few years ago, I combined my day job as a data engineer, helping customers engineer data analytics, with my love for  football and set out to beat the bookies. It’s an exciting game to play, and I have learned a lot about the merits of different predictive models that

Last year, we set up a prediction model on crime in London. We had established the model already, grounded in open data, but updated it to make predictions about 2017. We took the data provided by the police in the greater London area, and by enriching this data with Points

In today’s world of never ending cybersecurity threats, companies must be more diligent than ever in protecting their data from external and internal threats. The question of dealing with cybersecurity incidents is not a matter of if but WHEN. How a company responds to a breach is vital – the

IoT data offers answers to a simple question: “Are things changing or staying the same?” There are new data streams generated each day, that make it possible to quantify the formerly unquantifiable. The Internet of Things (IoT) enables us to measure processes and react more quickly to ever-evolving conditions, not

Data science can mean something completely different depending on context. The problems you’ll face at an early-stage startup will be vastly different from the ones you’ll face at a Fortune 500 giant. Not only are there different roles in data science, there are also different companies with vastly different data

“Data is part of our new cultural identity, transforming the way we communicate, learn and interact.” – This is the credo of the Data Natives conference, and one of the speakers at the event, Klaas Bollhoefer from The unbelievable Machine Company (*um), is taking it one step further: He adds

Are you considering carrying out or outsourcing a data cleaning project? Find out how to start. Data quality problems At present companies face the challenge of maintaining ever growing collections of data about their customers. This data is often incorrect (e.g. contains duplicate entries), incomplete or incoherent. On the other hand, the

In 1913, the Ford Motor Company was at the forefront of car manufacture. Designing the reasonably-priced Model T to appeal to the masses and employing division of labour & moblised assembly lines in the factory made Ford the largest automobile factory in the world at that time. In 2007, the

The topic of prescriptive analytics or optimization (i.e. linear programming) has received increasing attention over the last few years, including new coverage by analyst firms such as Gartner, Advisory Board, Forrester and several industry thought leaders. Why the attention? Prescriptive analytics is analytics science that guides decision-making processes for businesses.

When Netflix forayed into original programming by committing $100 million for two seasons of House of Cards, it did so without even watching the pilot. What made Netflix so confident that it thought this decision was a no-brainer? Big Data! Netflix is, at its core, a data-driven company that diligently