Kategorie: Data Leadership

Posted in Data Leadership, Data strategy, Deutsch

Aufbau des ersten Data Teams in ihrem Unternehmen

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.

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 AI Strategy, Data Leadership, Data science, Data strategy, DataOps

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.

Posted in Analytics, Data careers, Data Leadership

Data analysts are often aspiring leaders – Results from a D3M Labs poll

According to a D3M Labs poll, many data analysts who answered wanted to move into management, be it product management or people management. Behind the desired career move, was the interest to step back from the keyboard and focus on the communication and greater involvement in business and strategy.

Posted in Data Leadership, Data pipelines, DataOps

Is scary data pipeline technical debt haunting your business?

Technical debt in your data pipeline will impact your organization in ways that will annoy stakeholders, make the working lives of analysts tedious and frustrate data engineers. This debt can cause embarrassment in front of boards and investors, as numbers can be mismatching and unexplainable. And worse.

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 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 AI Strategy, AI use case, Data Leadership, Data Products, Data science

My top takeaways from the Berlin AI Summit: Understand the problem and don’t neglect operations.

The major challenges to AI implementation are often mind-set based rather than technical. Problems in production and implementation of AI often stem from organizations‘ and practitioners‘ lack of ability and/or desire to thoroughly scope out and define the problem they are trying to solve. Consequently, they often don’t select the right tools, capabilities and processes to implement successfully. Organizations can also negelct operations (such as MLOps), which are important for work efficacy and scale.

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.