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The Need For Speed

The Need For Speed

Performance has directly impacted the company's bottom line. ~ Pinterest In today's fast-paced world, time is a precious commodity. And when it comes to data tools, speed can make all the difference. In this post, we'll explore why app performance and speed are so important for Artemis, and how we optimized

The Innovators’ Dilemma in Cloud

The Innovators’ Dilemma in Cloud

Being a founder in the data space has been incredible, but one thing is evident. The data industry is filled with an excessive amount of tools and products. Don’t believe me? Check out this link which goes through the industry and the chaos of tools available. You’d think

Arty AI - The New Data Interface for Founders & Operators

Annoucements Featured

Arty AI - The New Data Interface for Founders & Operators

🎉tl;dr - Introducing Arty AI - Blending the best of AI, Excel, and real-time multiplayer to augment your ability to work with data. Our name, Artemis, comes from the greek goddess of the hunt. The legends and myths suggest that Artemis was the most excellent hunter ever known to

Artemis Meet Big Query 🤝

Artemis Meet Big Query 🤝

🎉TL;DR - Artemis now integrates with Big Query! Teams using Big Query as their data warehouse can now connect directly to Artemis, giving them greater flexibility when querying, analyzing, and taking action on data stored in Big Query. How does this help? When appropriately utilized, data warehouses are powerful

3 Ways to Decrease Data Costs

3 Ways to Decrease Data Costs

Oh, how the markets have changed. During the Covid-19 boom (which let us be honest, it was a boom) VCs were handing out cash left right and center, telling companies to capitalize and grow at all costs. The theme for 2021 — grow, grow, and grow some more. However, as we

Artemis - Open Beta Is Live!

Artemis - Open Beta Is Live!

🎉TL;DR - Artemis is simplifying data infrastructure and is finally available to the public. Today we are launching Artemis in open beta. It is a platform that enables you to: * Connect data from 160+ sources in minutes. * Deploy a lakehouse in one click or connect your existing warehouse. * Transform

Is Data Too Expensive Part II

Annoucements Featured

Is Data Too Expensive Part II

Learn how the Modern Data Stack is costing you way more then you need it to and how Artemis is changing that.

Introducing: Artemis Integrations

Introducing: Artemis Integrations

Bringing Artemis into the data ecosystem. We designed Artemis to help teams spend more time working with data and less time maintaining their data stacks. By allowing teams to get up and running in minutes, rather than months, it is easy to start working with data across your entire business.

The Value of Financial Analytics

Educational Featured

The Value of Financial Analytics

Written by: Christiana Lee Acknowledging that financial analytics has an effect on all facets of a business is critical to understand its value. However, when businesses learn how to best leverage their financial data to make high-quality business decisions, that is what helps teams set apart. What is Financial Analytics?

How Artemis Helps Marketers

How Artemis Helps Marketers

Written by: Christiana Lee Data is rapidly changing the way businesses work across industries. Data-driven organizations are investing in analytics and big data to generate the much-needed insight to make calculated business decisions rooted in data instead of personal bias and guesswork. According to PWC, “companies that are using data

Why is Data Integration Important?

Why is Data Integration Important?

Written by: Christiana Lee As businesses seek to scale and grow, they require meaningful data at an increasingly rapid rate in order to make critical business decisions. As many organizations use a variety of data management systems to run their operations, finding a simple method to consolidate meaningful data can

Is Data Too Expensive?

Is Data Too Expensive?

At what cost? Data is the new driver of success. However, is there a point where data and analytics are no longer worth the cost? In a great article by Mikkel Dengsøe, he discusses the median salaries of data workers at the FAANG (Facebook, Amazon, Apple, etc) companies. In the