Over the past few years, there has been growing concern about the lack of innovation among corporations. This lack of innovation is a major problem for businesses, as it can lead to stagnation, decreased competitiveness, and even obsolescence. As the pace of technological change continues to accelerate, it's becoming increasingly important for companies to find ways to foster innovation and stay ahead of the curve.

Running a Shopify ecommerce store can be challenging - you have to take care of marketing, supplies, deliveries, returns, complaints, and every little thing in between, so you easily lose focus on what matters and brings value. Luckily, we have an easy solution! Keboola and Snowflake have partnered to bring you a no-code solution that turns your Shopify data into an insights machine in just 45 minutes. Let's take a look and try it hands-on! You might say.

The data we generate, store, and share is growing exponentially as the world inexorably digitizes. With the global data sphere expected to double in size by 2026 as organizations and consumers increasingly go online, automate, and digitize processes, the right tools are required to mine this massive trove of valuable data coming from a widening and diverse pool of sources globally. The competitive edge gained by rapidly converting complex data into business insights is a crucial growth driver.

The data catalog is a critical step in the movement toward becoming a data-driven business. Here are 4 table-stakes questions to ask yourself to deliver reliable, trusted data.

When was the last time you had all the data you needed to make a business decision? Hopefully, it was today. But if it wasn’t, you’re not alone. It’s increasingly difficult for people inside enterprise organizations to harness the power of their data. Even though good decisions are nearly impossible without good data, getting data into the right hands at the right time is easier said than done.

Today we’re excited to announce ThoughtSpot Sage, our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform. With this new integration, data teams will be able to exponentially increase their impact across an organization as business users self-serve personalized, actionable, and trustworthy insights like never before.

When I was working at Google back in the mid 2000’s, we dealt with tens of billions of ad impressions a day, trained several machine learning models on years worth of historic data, and used frequently-updated models in ranking ads. The whole system was an amazing feat of engineering and there was no system out there that was even close to handling this much data. It took us years and hundreds of engineers to make this happen, today, the same scale can be achieved in any enterprise.

Every so often, different advocates across organizations ignore the Voice of the Customer. This may be due to changes in business priorities, redistribution of resources, focus on new trends, or that they clear a profit regardless. This brings the value of the customer's voice into question: should we still allocate time and effort towards listening to customers when following new trends is the norm? ‍ The short answer is a resounding yes.