The Data-Driven Decision Making Blog

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.

In Berlin habe ich mehr als ein paar Mal den Kommentar „das ist nur Business“ gehört. In New York habe ich niemals einen solchen Kommentar vernommen. Ganz im Gegensatz zu Berlin wird es in New York über Unternehmensstrategie, Marktentwicklung und Marketingstrategie eifrig diskutiert.

One South African company correctly predicted both the outcome of the Brexit vote and Trump’s victory. BrandsEye delivered a Data-as-a-Service (DaaS) product, amalgamating social media analysis, geolocation data and other inputs to create impactful insight that most pollsters missed.

Data-as-a-Service (DaaS) can be described as productized data-driven insight on demand. DaaS allows business users to access the data and insights they need at the timing they desire. The data and insights can be consumed by multiple individuals simultaneously, location-independent of where the data has been sourced and managed.

Social media monitoring has received a huge amount of attention in the past year following the explosive popularity of social media platforms coupled with the high-profile predictions in the US presidential elections. I have worked with numerous clients who wanted to build social media listening capabilities. This is an overview of what a social media listening project entails.

Big Data’s descent from the peak of inflated expectations into the trough of disillusionment made a splash when Gartner came out with its 2016 Hype Cycle for Business Intelligence and Analytics. This stage is decisive: Big Data either delivers, and so rises a bit further up the slope of enlightenment

Confidence in the European venture market seems to be growing, although many participants still cite best practices from the US. Corporate-Startup partnerships with the goal to „learn“ „innovation“ is in fever pitch in Berlin at the moment. A more diverse investor ecosystem – from very well known investors, to niche investors and corporate investors. Although more diverse does not extend to those who control the capital – the Berlin circle that controls the capital is still tight knit. The German government seems to slowly be realizing the urgent need for early stage financing. BAFA announced their grant for angel investors – Zuschuss für Wägniskapital.