Kategorie: Strategy

Posted in Business, Data Leadership, Data strategy, Data-driven marketing, Immigration, Insights, KPIs, Product analytics, Strategy

Fall in love with the problem, not the data – an interview with Mor Eini

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.

Posted in AI Strategy, Business, Data as an asset, Data product management, Data strategy, Strategy

Building defensibility with Data Moats  – an interview with Raúl Berganza Gómez

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.

Posted in Business, Data Leadership, Data strategy, Hiring, Strategy

Bridging the gap between data and money

This article was co-authored by Elizabeth Press and Peter Schroeter Data is a top priority on almost…

Posted in Data governance, Data Leadership, Data quality, Data strategy, Strategy

The co-dependence between data governance and growth – An interview with Irina Nikiforova

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.

Posted in Data Leadership, Data strategy, 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.

Posted in Digital product management, Insights, Product analytics, 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.

Posted in Business, Data Leadership, Data strategy, DataOps, Strategy

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.

Posted in Business, Data-driven marketing, Insights, Strategy

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,

Posted in Data Leadership, Strategy

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.

Posted in Data Leadership, Data Products, Strategy

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.