Contextualizing our world with data. A four part D3M Labs series about how communications professionals use data. Writing and other forms of communications might be art, however, technology is the means by which thoughts, news, images, etc. are conveyed, stored, measured and iterated. The impact can range from branding and connecting with customers and prospects, to reporting about world events.
Mor Eini’s career started in the Israeli Defense Force in the Office of the Prime Minister and took her to the VC ecosystem in Berlin. Mor Eini from APX, which is an early stage investor, explains how she evaluates a startup’s use of data. Mor also talks about the Israeli and Berlin ecosystems. She also shares her insights as a B2B investor on how data is a tool to create, foster, accelerate innovation, but data is not the innovation.
Competitive advantages enable your business to be successful. Defensibility is what you need to keep that competitive advantage. Data Moats leverage data to create parts of your business that are hard for competitors to replicate. In an open source, fast-moving digital world, building a deep moat gives your business the margin and time to maintain competitiveness.
Having no physical form, data is an intangible asset. Data is often a contributory asset as well, its value being realized via the ability to generate profit through, for example, insight used in decision making or algorithmic-product such as a recommendation engine. Certain methods and considerations are required when valuing data.
Tech debt is often unavoidable in most early stage startups. Not fixing the tech debt as a company gets traction and scales is more of a problem than the original creation of the tech debt. Turning a blind eye to tech debt has implications beyond the stack and creates an unstructured and sloppy culture.
Data governance starts at both the C-Suite and metadata level of your organization- An interview with Laurent Dresse
Facilitating the interface between IT and business is data governance, which is filled with opportunity. There is no specific career path into data governance, but the ability to understand metadata and contextualize organizational insights to executives holds much opportunity.
Ist Business Intelligence ein Luxus? Daten – richtig gemacht – sind weder billig noch einfach. Die meisten Unternehmen warten, bis sie eine gewisse Größe erreicht haben, bevor sie in eine interne Datenkompetenz investieren. Ein Greenfield-Projekt, der erste Aufbau einer internen Datenfunktion, ist ein wichtiger erster Schritt auf dem Weg eines Unternehmens zur Datenreife. Vor der Einrichtung einer internen Datenfunktion kann ein Unternehmen als Daten unreif gelten, unabhängig davon, wer die Daten nutzt oder wie lange das Unternehmen bereits besteht.
Irinia Nikiforova explains what data governance is and why it is essential for any business that not only wants to survive, but use insights from data or data-driven products to drive growth.
Beyond the algorithm, the realities of operationalizing AI – A podcast interview with Elizabeth Press
The AI mystique might be the biggest obstacle to AI adoption. The artisanal data scientist who works on an alchemy of code output the magical algorithm impedes discussion on what is needed to commercialize and scale AI solutions. AI needs to be treated like a product and an item to be manufactured and scaled on an industrial level.