Case Studies
Selected case studies showing how organisations realize the value of big data and analytics to create business solutions and uncover new opportunities.

Here are the biggest challenges SMEs in the UK are facing
SMEs are the unsung heroes of any economy- producing numerous jobs, the backbone to big corporates to scale up and still struggling to sustain themselves. They are unable to innovate as fast as younger companies and lack the funds that larger corporations have. As we enter a new decade, over half (58%) of

How to apply predictive analytics to Premiership football to beat the bookies
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

How Effective Is AI Crime Prediction? Evaluating Our London Crime Prediction Model
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

White Paper: The Importance of a Strategic Response to Cyber Incidents
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

Analytics Strategies for the Internet of Things – Getting the most out of IoT Data
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

How different companies think about Data Science
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 Thinking meets Data Natives – A New White Paper by *um
“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

4 steps to help kickstart your data cleaning project
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

How Big Data Brought Ford Back from the Brink
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 Surge of Prescriptive Analytics
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.