Kategorie: Strategy
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,
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.
Data Festival 2022: Democracy, Mesh, Fabric
The industry seems to be disillusioned by centralized data assets, data warehouse and data lake alike and looking for the next big thing.
Take aways from Big Data World, May 2022
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.
Turning customer relevancy into revenue
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.
Das D3M Labs Manifesto (auf Deutsch)
Die Welt braucht mehr Visionäre mit gößen Ideen. D3M Labs möchte diesen Visionären die Werkzeuge zur Verfügung stellen, die sie benötigen, um erfolgreich über die Grenzen des heutigen Normalbetriebs hinauszugehen. Fantasie gepaart mit mutigen Entscheidungen auf der Grundlage von Daten, die in großem Maßtab umgesetzt werden, können und werden Industrien, Wirtschaft und die Welt verändern. Soziale Netzwerke, die gemeinsame Wirtschaft, maschinelles Lernen und mehr haben unseren Alltag grundlegend verändert. Alle diese Innovationen wurden uns durch Vision, Einsicht, Strategie und exzellente Umsetzung nahergebracht.
The D3M Labs Manifesto (English)
The world needs more visionaries with big ideas. D3M Labs wants to avail these visionaries the tools they need to successfully go beyond the bounds of the present-day normal. Imagination coupled with brave decisions powered by analytics, executed on scale can and does transform industries, economies and the world. Social networks, the sharing economy, machine learning and more have all fundamentally changed our everyday lives. All of these innovations were brought to us by vision, insight, strategy and excellent execution.
Are you a shallow innovator? That’s ok as long as you can execute.
Successful shallow innovation creates and executes a use case for proven technology in a way that is sustainably profitable and/or beneficial to society. I created this term to help clients conceptualize the difference between value created by deep innovation, i.e. disruptive technological or scientific innovation, and those created by shallow innovation coupled with wonderful execution.







