Babbel Live’s data-informed success: How early stage digital products can be hypothesis driven despite little data

Babbel Live is a success story that product managers who are launching new digital products can learn from. Massive amounts of data are not necessary in order to use data to make good decisions. Starting simple and working in a data-informed way to prove or disprove hypotheses can yield positive results quickly.

Data strategy is a part of corporate strategy

Matt Brady, Founder of Zuma Recruiting and I talked about Data Strategy. We will start by covering data strategy and roadmaps before discussing how to treat data, data roles and where data should sit in an organization. Data teams add the best value to their organization when they are part of a holistic company strategy discussion and work as strategic partners with the stakeholders.

Consumer Insights and Data Analytics: The ying and yang of how and what

Consumer Insights is a natural partner of Data Analytics. While data analysts can show you in-depth what is happening, consumer insights can illuminate the how. The partnership between Consumer Insights, Data Analytics and other Insights functions can be powerful. This article will explain the benefits and how organizations can make it work,

My top takeaways from the Berlin AI Summit: Understand the problem and don’t neglect operations.

The major challenges to AI implementation are often mind-set based rather than technical. Problems in production and implementation of AI often stem from organizations‘ and practitioners‘ lack of ability and/or desire to thoroughly scope out and define the problem they are trying to solve. Consequently, they often don’t select the right tools, capabilities and processes to implement successfully. Organizations can also negelct operations (such as MLOps), which are important for work efficacy and scale.

Building your company’s first data competency

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.

AI can help defend European freedom

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.

Operational KPIs that will let you know your Data Team is creating impact (rather fixing & firefighting)

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.