Is business intelligence a luxury?  Data – done right – is neither cheap nor easy. Most businesses wait until they are a certain size before investing in an in-house data competency. A greenfield assignment, the initial build-up of an inhouse data function, is an important early step in a company’s journey towards data maturity. Before the inception of an inhouse function dedicated to data, a company can be considered data immature, regardless of who uses the data or how long the company has been around.

A child of the Cold War, I grew up hearing stories and learning deeply about World War 2. Much of my youth was spent pondering the new and old-world order. For that reason, I found the panel at the Data Festival in Munich inspiring. I hope it inspired others in the tech scene to support the use of data in defending European freedom.

The industry seems to be disillusioned by centralized data assets, data warehouse and data lake alike and looking for the next big thing.

At the AI Guld Dinner, I was asked by a couple of people about what I look for when I hire data scientists. This advice can be scaled to all data professionals – and beyond.

The right mix of governance and freedom in architecture is still up for debate, end-to-end solutions are often-heard recommendations, low and no-code is expanding access to data and the customer journey could be seen as a source of revenue are some insights I gleaned from this spring’s Big Data World.

Data teams are usually busy, but are they impactful? Just because your data team is burning through tickets does not mean that they are creating impact, especially if they are stuck fixing and firefighting. Impact can be broken down into prioritization, coverage and quality. KPIs such as the statistical re-do rate, analytical throughput rate and effective analytical throughput rate that will help you quantify the impact of your data organization. This framework, along with external validation from stakeholders, is helpful to root cause and make business cases to invest in improvements.

Customer segmentation is a means by which you group customers into an identifiable category that you can use as a basis for analysis of a specific group of customers. Customer segmentation is useful for activities such as strategic planning, campaign planning & customer targeting, product analytics, planning customer communications, customer experience management, churn prediction, upselling, cross-selling, acquisition, sales operations and more.

Monetizing customer relevancy through data-driven insights is key for any successful modern marketing campaign. Modern marketers work in a hypotheses-driven manner, using data to gain customer insight. Consumers and B2B customers have grown used to marketers understanding who they are, their behaviors, as well as when and how they want to communicate with you.

Ich hatte die Ehre, Jurymitglied bei den Quadriga Digital Communication Awards zu sein.Auf der After-Party baten mich einige Leute um Feedback und was sie beim nächsten Mal besser machen könnten. Hier ist eine Liste von Tipps, die nützlich sind, wenn es darum geht, die Wirkung Ihres Projekts zu vermitteln – und an jeden, der Key Performance Indicators (KPIs) verwendet, um den Wert Ihrer Arbeit zu kommunizieren.

At the after party some people asked me for feedback and what they could do better next time. Here is a list of tips that are useful when pitching the impact of your project, as well as to anybody using key performance indicators (KPIs) to communicate the value of your work.