Systems | Development | Analytics | API | Testing

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?

As an e-commerce retailer, which business metrics matter the most to you? Net revenue? Business growth? Conversion rate? All these KPIs are important, but there could be one critical e-commerce metric you’re overlooking: The repurchase rate. All e-commerce business owners worry about how many units of their products or services they’re going to sell, and how much revenue they’ll make. It turns out that focusing on existing customers could be the key to increased long-term revenue.

We are excited to announce that Integrate.io has achieved Google BigQuery designation! Google's BigQuery service is a great way to store and analyze large amounts of data. To ensure customers have confidence in their integration, Google engineers do validation tests on the integrations before they're allowed into their system - making sure everything works as expected!

Starting a small business is an exciting journey, but there are so many metrics to consider, especially when evaluating your success or demonstrating that success to stakeholders. Business finance is about so much more than the number of sales you make. Within the startup world, it’s common to hear of e-commerce companies implying that they are enjoying financial growth from the get-go.

Five things to know about customer profitability analysis: Digital retailers often talk a lot about 'profit' without ever determining the factors that drive profitability in their businesses. One of the biggest contributors to profit in e-commerce is existing and new customers who purchase products and services from online stores. However, the connection between customers and profitability can be unclear unless you carry out the right kind of analysis.