S1E4 -Full stack data people with Bethany Lyons

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Data Matas

Matatika

17 episodes

1 week ago

A show to explore all data matters. From small to big, every company on the market, irrespective of their industry, is a data merchant. How they choose to keep, interrogate and understand their data is now mission critical. 30 years of spaghetti-tech, data tech debt, or rapid growth challenges are the reality in most companies. Join Aaron Phethean, veteran intrapreneur-come-entrepreneur with hundreds of lived examples of wins and losses in the data space, as he embarques on a journey of discovering what matters most in data nowadays by speaking to other technologists and business leaders who tackle their own data challenges every day. Learn from their mistakes and be inspired by their stories of how they've made their data make sense and work for them. This podcast brought to you by Matatika - "Unlock the Insights in your Data"

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Technology

Business,

Management

S1E4 -Full stack data people with Bethany Lyons

Data Matas

32 minutes

1 year ago

S1E4 -Full stack data people with Bethany Lyons

This is an unmissable conversation packed with innovative perspectives where Aaron Phethean and Bethany Lyons dive into the intricate world of what “full stack” genuinely means in the data realm. Armed with facts and humor, they explore the vital role of trust, and the complexities of data reconciliation. Their discussion also ventures into the dynamic startup landscape, stressing the urgent need for creative solutions to the persistent challenges in data management and analytics that so many face. With their fresh insights, this conversation is a must for anyone looking to understand the future of the industry.

Takeaways

Be a full stack data person to have a bigger impact.

Data is a digital twin of real-world processes.

Understanding data representation is crucial for business insights.

99% of data work involves plumbing, not just visualization.

Trust in data is essential for effective decision-making.

Reconciliation of data is a complex and painful process.

Startups must solve specific problems for individual users.

Data analytics is not an assembly line; it's iterative.

The future of data solutions lies in addressing unsolved problems.

Navigating the startup landscape requires understanding customer needs.

Titles

Data: An Unsolved Problem

Innovating in the Data Space

Sound Bites

"Be a full stack data person."

"Data is just a digital twin of the process."

"How do we enrich the data?"

Chapters