Boreas

Do you stay up late wondering, "What is that Boreas company all about anyway?" Well, this one’s for you, my friend. https://lnkd.in/gRiscDxx #data #analytics

Getting your hands on the right data can often be the toughest part of the process. If you're looking for a smoother, more automated way to grab the data you need, check this out. We share how we recently helped a marketing team set up an automated pipeline to easily pull in the data they need to fine-tune and supercharge their campaigns. #data #dataingestion ?????? https://lnkd.in/e_kseS7Q

How does a team of three analysts and engineers do sales? We have AI do it for us, of course. We developed a tool to help us find and acquire new business. Check out this clip to see it in action. Feel free to reach out if you're interested in using AI to streamline parts of your business! #ai ??

[8/1/24] #BoreasThursdayThrowdown: We’re back with some more tasty treats. It’s time to level ?? . MIMO (Money In Money Out) ?? ?? : There's an old saying, "You have to spend money to make money." But how much exactly do you need to spend? And if you spend more, does that mean you'll make more? That's what we're exploring with the Customer Acquisition Cost dashboard we're building for a client. We use specific user engagement metrics, market trends, historical data, and spend to link every marketing dollar as closely as possible to new users. The client can then use this dashboard to see precisely where to make the most of their limited marketing budget by fine-tuning spend and activity. ELT vs. ETL ?? ?? : Do you hate acronyms? So do we. ELT stands for Extract-Load-Transform, and ETL stands for Extract-Transform-Load. These methodologies are used for ingesting data. In ELT, you extract data from different sources, load it into your database, and then transform it within the database to meet your business needs. ETL is similar, but the transformation occurs before the data enters the database. While the difference between the two may sound minuscule, the impact each can have is major. Which method is better? It depends on your business needs. That's why we are currently researching these methodologies and platforms for a client. Choosing the right approach is crucial before starting any data ingestion pipeline. We've shortlisted two tools for this client: Fivetran (ELT) and Funnel (ETL). DALL-E Image Prompt = "Money In Money Out"

[7/18/24] #BoreasThursdayThrowdown ?? ?? ??: Sharing our latest work to inspire you to level up your data. A.I. Foreplay ?? ??: A.I. tools are super sexy, but before you jump into bed with them, ask yourself: "Am I really ready for this?" Chances are, you might not be. To fully leverage the power of A.I., you need to ensure your data is in top shape. A.I. will only be as effective as the data you provide it. That's why we're helping one of our clients clean and transform their data. We're focused on building automated processes to ensure their data is ready for A.I. tools to generate insights and recommendations tailored to their business. Products, Products, Products ?? ??: Got more than 10 products in your eCommerce portfolio? Finding the ones that need attention can be a real hassle. Who wants to click through endless reports to find the needle in the haystack? We're collaborating with an Amazon seller to create a tool that uses regression techniques (thank you, high school math) to programmatically spot trends for each product. We then visualize these trends so the team can easily see which products are rising or declining across their entire portfolio. DALL-E Image Prompt = "A.I. Foreplay"