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.
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.
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 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.
What can we learn about robotics, artificial intelligence and how UX will evolve into the architecture of social-emotional experiences?
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.
The monetisation of customer relevancy through data-driven insights is essential for any successful marketing campaign in the digital economy. With the advent of social media, cloud computing, IoT and mobile applications, data sources and use cases for marketing and communications professionals are proliferating. Companies can collect data on customer preferences, attributes, actions and more to, for example, anticipate demand, increase customer satisfaction and loyalty, as well as proactively capitalize on acquisition, upsell and cross sell opportunities.