Lead generation. Those two little words can bring a smile to a marketer’s face or make them want to tear their hair out. Why? Because it’s a complex beast with a ton of moving parts, and getting it right can feel like navigating a minefield blindfolded. But fear not, fellow marketers! While lead gen can be tough, understanding the common challenges is the first step to conquering them. Alright, let’s get down to brass tacks and explore the common pitfalls that can trip up even the most well-intentioned lead generation campaigns....
Hey there, data wranglers! If you’ve ever wrestled with messy, duplicated data, then you know entity resolution (ER) is your trusty sidekick. Buckle up, because today we’re diving deep into the world of sentence embeddings and how this nifty technique can supercharge your pairing game in entity resolution. If pairing sounds like a new dance craze to you, pump the brakes and check out our beginner-friendly introduction to pairing first....
Buckle up, data detectives, because today we’re diving into the world of pairing – the entity resolution trick that’ll save you time, headaches, and maybe even a few tears. Don’t worry if you’re new to this whole ER game; we’re keeping it simple and friendly here. By the end of this post, you’ll have a solid grasp of what pairing is, why it’s so awesome, and how it can make your data cleaning adventures a whole lot smoother....
BERT, or Bidirectional Encoder Representations from Transformers, quickly proved its worth and took the entity resolution community by storm. If BERT is new to you, picture it as ChatGPT’s older, brainy cousin. BERT is like the translator, converting text into numbers that computers understand. Meanwhile, ChatGPT is the storyteller, using those numbers to generate fresh text – that’s the magic behind generative AI. What’s the Big Deal with BERT? The original base version of BERT is a deep learning architecture consisting of 110 million parameters....
Entity resolution (ER) - sounds complicated, right? Well, it doesn’t have to be! It’s basically just figuring out which pieces of data in your messy datasets actually refer to the same real-world thing. Think of it as connecting the dots between different bits of information about the same person, place, or concept. Why bother with ER? Because having clean, linked data is crucial for tons of stuff like: Customer 360: Get a complete picture of your customers, so you can personalize their experiences Fraud Detection: Spot suspicious activity by linking related transactions Supply Chain Resilience: Accurately monitor supply and demand of your products, from manufacturing to sales Outlook - How to Deduplicate in Python There are some fantastic open-source tools that can help you wrangle those duplicates and get your data back in shape....
In our data-drenched world, it’s easy to drown in duplicates and disconnected info. It’s like having a messy closet, but way worse for your business! When you’re dealing with a single dataset and need to eliminate duplicate records within it, it’s natural to call this process “deduplication.” On the other hand, when you have multiple, already deduplicated datasets and need to connect records that represent the same real-world entity across them, the term “linkage” is commonly used....
Master Data Management (MDM) is how the big software companies talk about deduplicating data. But here’s the kicker: most of them sell it as a service, and they charge you based on how many records you feed into their system. For larger companies, that can mean spending hundreds of thousands, even millions, of dollars every year. The target audience for this article Thinking about jumping on the MDM bandwagon? You’ve probably already gotten a few quotes, and let’s be honest, they’re eye-watering....