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Our Five Key Points: When you start an e-commerce business, you know that you’ll need some top-level digital services to get your products and services online and in front of the right audience. Not every online store is as big as Amazon, but with effective tools, you can still make waves. How do you pick the right apps and SaaS or PaaS to make your online business as profitable as possible?

E-commerce is the future of B2C retail, with online retailers expected to generate a total of $5.55 trillion in sales in 2022. The benefits of e-commerce are almost endless: This business model overcomes geographical limitations, allows merchants to sell new products and services 24 hours a day, and eliminates many of the costs associated with managing a brick-and-mortar store. But do you know how e-commerce influences B2B analytics?

The essential things to know about e-commerce dashboards are: Choosing an e-commerce platform like Shopify is just the first step when building an online business. In order to make smarter business decisions and boost your online sales and marketing campaigns, you’ll need information about how your e-commerce site is performing. That’s exactly what an e-commerce dashboard is designed to accomplish.

The 8 most important parts of your Shopify e-commerce tech stack are: As a Shopify e-commerce business, you’ve made the right choice: you have access to the best e-commerce platform for creating and managing an online store. However, choosing an e-commerce solution like Shopify is just the first piece of the puzzle. To truly take advantage of your e-commerce software, you’ll need a solid Shopify e-commerce tech stack to back it up.

The 5 best tools for visualizing e-commerce data are: Whenever you encounter a thorny business problem, data is your secret weapon. By deploying tools for business intelligence and data analytics, you can crunch very large datasets and get real-time insights to assist your decision-making process.

Here are seven key differences between data lakes vs data warehouses: A lot of terms get thrown around in the big data space that every business should understand. Many of these terms are easily confused with each other. This is the case with data lakes vs data warehouses. What are some of the most important differences between them, and how can your business use them most effectively for data analytics and data management? Read on to learn the differences between data lakes and data warehouses.

Five differences between using an ETL platform vs. writing your own code: The ETL (extract, transform, load) process is one of the most critical, and one of the most challenging, parts of enterprise data integration. But what if we told you there was a low-code ETL solution to your problems?

Our five key points: Value shoppers are the savvy buyers, the ones always on the lookout for the best deals and who knows where to find every discount and coupon. If you're an e-commerce retailer, the importance of understanding your value shoppers can’t be overstated. Consumers searching for a great deal will absolutely look elsewhere if they’re not impressed by your online offerings.

The five main reasons to implement a fully automated data pipeline are: When you think about the core technologies that give companies a competitive edge, a fully automated data pipeline may not be the first thing that leaps to mind. But to unlock the full power of your data universe and turn it into business intelligence and real-time insights, you need to gain full control and visibility over your data at all its sources and destinations.

One of the most important parts of the function of any company is a secure database. With phishing attacks, malware, and other threats on the rise, it is essential that you make the right choice in order to keep your data safe and process it effectively. However, it can be extremely difficult to choose among the wide variety of database solutions on the market today. Two commonly-used options are Mongodb and Postgresql. What do you need to know about MongoDB vs. PostgreSQL?