
Proven Evergreen Data Migration Strategy for Data Professionals Who Want to GET PROMOTED FAST
Evergreen data migration strategy – what does it have to do with you getting promoted as a data professional? LOTS, actually. Well, depending on your
Lillian Pierson, P.E., fractional CMO and growth strategist, engineers marketing systems that drive predictable growth for tech startups. With a professional engineering license and 20 years of experience driving growth for Fortune 100 and early-stage companies alike, she bridges product and growth marketing to drive real boots-on-the-ground traction. She's trained 2M+ professionals in AI and data, grown organic channels to 750K+ followers, and authored 11 books including Data Science For Dummies. Lillian helps VC-backed and bootstrapped founders (pre-revenue to $6M ARR) scale through structured playbooks and data-driven systems.

Evergreen data migration strategy – what does it have to do with you getting promoted as a data professional? LOTS, actually. Well, depending on your

What are the risks in data privacy and how can we ensure a more ethical use of data? In today’s article, I’ll be discussing data

Day in the Life of a DATA SCIENTIST *THAILAND EXPAT edition* // Wondering what a day in the life of a data scientist looks like?

Have you ever thought of the question, “how does blockchain support data privacy?” In this post, you will learn how blockchain technology does that to

You’re a data professional who’s curious about possibly stepping up into a data product manager position? Amazing! Keep reading so you can discover what the

Data analyst vs data scientist vs data engineer – deciding whether you should pursue any of these three roles? In this article, I’m going to

The disciplines and subdisciplines of data are complex and often overlaid. Data analysis, engineering, and science are foundational concepts, while data modeling refers to the

Improve sales, reduce churn, and increase ROI by scoring and prioritizing your sales and marketing channels based on their performance. This tactical blog post instructs on how to get it done.

How long does it take to learn how to code? Not long (at all). In this brief post, I’m going to pretend as if I

Curious about what a data product manager does on a daily basis? Sweet! I’ve been managing data products since 2012 and, in this post, I’m

Looking for best options for affordable tools for successful data forecasting in 2021? Read on to see our top 3 picks! Developments in AI and

In the world of data science, skills are constantly changing and evolving. Lillian shares insight into how mentorship can help you to develop and hone

Are data science and UX design the ultimate product manager’s secret weapons? Find out. In business, the product is the key to success. A lot

You don’t need to be a marketing expert or data scientist to see firsthand the shift in mindset among consumers in the online space. In

In your steps towards a data-driven AI approach, this blog post will expose you to the following concepts – what is synthetic data, what is

Curious to know what types of business data are out there? Keep reading to learn more about the 4 types of data and how to

If you’re responsible for selecting an analytics tool to help your data project or product achieve a strong ROI, then this article is for you.

Structured query language (SQL) is one of the most popular programming languages today, especially in data. You should probably be familiar with it if you

In this episode, Lillian touches on the exponential growth the data science industry has had in the past few years and shares how hard it

If you’re like most data professionals, you are still scratching your head about the decentralized web, or “Web 3.0”. You are also thinking about whether

Today we are going to talk about the data product manager resume and what you need to do to land the interview and get hired