Strategy

What can stop the cycle of chaos, under investment, attrition and over hiring in data teams? – An interview with Stevan Lazic

Data teams are often chaotic places to work, which leads to attrition, over hiring, burn-out and other bad side effects. Stevan Lazic, an experienced product engineering leader who has worked at numerous startups and scaleups, talks with Elizabeth Press about what he thinks is driving the unhealthy dynamic in many data teams and what measures can be taken so that data teams are properly resourced.

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.

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.