Andy Mott, MBA

EMEA Head of Partner Solutions Architecture and Data Mesh Lead, Starburst

With more than 20 years of experience in data analytics, Andy Mott is skilled at optimizing the utility of analytics within organizations. When determining how to generate value or fortifying existing revenue through technologies, Andy considers the alignment of an organization's culture, structure and business processes. He ensures that the strategic direction of the organization will ultimately enable organizations to out compete their respective markets. In his spare time, Andy enjoys tinkering with his home Hadoop cluster and Linux is his preferred operating system. Andy Mott is currently EMEA head of partner solutions architecture and a Data Mesh lead at Starburst, and lives in the United Kingdom.

Showing 12 of 20 results

Data virtualization will become a core component of data lakehouses

January 18, 2024

Data lakehouses have emerged in the past five years as a hybrid middle ground between data lakes and data warehouses. For decades, data warehouses...

2024 Data and AI Executive Survey and the European Union AI Act

January 4, 2024

The annual Data and AI Leadership Executive Survey is here and it offers important insights into the evolving roles and challenges of Chief Data...

5 trends you should know

December 26, 2023

As we enter 2024, what’s certain is more of everything AI. However, before we forget about data and just “do” AI, whatever that means...

Do you have a TCO problem or a vendor lock-in problem?

December 19, 2023

With every budgetary statement you get for running your cloud data warehouse, the natural reaction is to shake your head at how broken your...

Artificial intelligence life cycle

November 2, 2023

Organizations today are using artificial intelligence and machine learning to answer complex business questions. They often follow an artificial intelligence development life cycle to...

Data-driven innovation: If you want to innovate with data, this is what you should do!

September 14, 2023

Answering predetermined questions was based on a centralized and well-articulated data model, but failed to enable data exploration, experimentation and evolution of the data-driven business strategy. These failures only get worse with time as more data needs to be integrated and the platform becomes more fragile to change. Ultimately this fails to deliver timely and competitive business results. As we’ve seen, providing known data to answer known questions can be done using many well-known data architectures, but that’s only part of the story.  

Why data products are critical to environmental, social, and governance (ESG)

May 10, 2023

If your organization still has centralized massive data lakes, it becomes really, really difficult to shift through that data lake to find out particular data points that need to be extracted to do your reporting. So the only game in town are the principles of data mesh and data products…

How fast access to data and quality ML code can enable competitive differentiation and innovation

February 16, 2023

2022 ended with many successful AI models being deployed, including OpenAI’s ChatGPT. There’s no doubt that there will be plenty more successes in 2023....

Build great data products and reduce cognitive load

January 10, 2023

Regular readers of our blog know that many businesses have found success managing data as a product. In essence, they have learned how to...

Implications of Data Mesh: Redefining the Role of the CDO

January 3, 2023

In 2019, Zhamak Dehghani defined a new approach to manage data based on decentralized ownership of data. As a refresher, Data Mesh is based...

What Are The Different Types Of Data Products

December 16, 2022

As we’ve gone from Data Mesh theory to practice, organizations have been shifting their focus towards the central tenet of Data Mesh — building...

Clarifying Data Mesh Roles And Responsibilities

November 2, 2022

Recently we co-authored the book Data Mesh For Dummies, along with our colleague Adrian Estala. We greatly enjoyed writing the book and collaborating to...

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