Posts In Category

Case Studies

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

How Startup Collaborations Are Boosting The Ruhr Region
Case StudiesEnergy & EnvironmentFeaturedIndustrial Goods & ServicesStartupsTechnology & IT

Corporations need to digitalize in order to overcome their challenges. That’s especially true for the large industrial corporations in Germany’s Ruhr region and its over 50 cities and municipalities. By collaborating with startups, they are able to drive the change forward, and that’s what the Data Hub program by Gründerallianz

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How Dangerous News Spreads: What Makes Twitter Users Retweet Risk-Related Information
Case StudiesData ScienceFeatured

Scientists uncover how information related to potential dangers can spread on social media and how this can be prevented. In Japan, a country prone to various natural and man-made calamities, users often turn to social media to spread information about risks and warnings. However, to avoid spreading rumors, it is

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Here Are The Biggest Challenges Smes In The Uk Are Facing
Case StudiesFeaturedFinTechinfographicsRetail & ConsumerTech TrendsTechnology & IT

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

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How To Apply Predictive Analytics To Premiership Football To Beat The Bookies
BI & AnalyticsCase StudiesFeaturedGamingTech TrendsTechnology & IT

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

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How Effective Is Ai Crime Prediction? Evaluating Our London Crime Prediction Model
Artificial IntelligenceBI & AnalyticsBig DataCase StudiesData NativesFeatured

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

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Cybersecurity
Case StudiesCybersecurityResources

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

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Analytics Strategies For The Internet Of Things - Getting The Most Out Of Iot Data
Case StudiesData ScienceInternet of ThingsTech Trends

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

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How Different Companies Think About Data Science
Case StudiesData 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

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Data Thinking Meets Data Natives – A New White Paper By *Um
Case StudiesData NativesData Science

“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

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4 Steps To Help Kickstart Your Data Cleaning Project
BI & AnalyticsCase Studies

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

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