GoPay, the fully integrated payment solution, serves over 18.000 merchants. As a payment gateway, GoPay processed over 100 million transactions, connecting merchants, retail customers, and financial institutions in a seamless payment experience across mobile, desktop, and web. Their work is challenging - on one hand, the data they work with needs to be thoroughly validated to comply with financial regulations.

Retail analytics is transforming the bricks and mortar and e-commerce landscapes. From Amazon drones delivering your favorite cupcake the moment your sweet tooth starts to tingle to your local shop stocking the new GoPro just before you set up on a new adventure. In this article, we will explore the guiding principles of how data can be used to improve your retail business. But we will also make it actionable.

The retail industry is being reshaped by big data analytics. From supply chain management optimization so your favorite product is always in stock to deliveries that happen in under 1h that fulfill the immediate customer needs, retail businesses are using predictive analytics to drive growth. In this article, we will look at what big data analytics is and what are the three main drivers it uses to reshape the retail sector. Let us start with some clarity surrounding the terms.

Enjoy Digital is one of the fastest-growing independent digital agencies in the UK. They help their clients create innovative digital experiences that rethink and reshape the digital marketing landscape. And they back their success up with hard numbers. We talked to Luigi, a senior data engineer at Enjoy Digital, to discover how their small team of data experts fuels data-driven growth for the entire marketing agency. But the path to driving marketing growth with data was not always smooth.

Keboola is proud to announce the launch of its new feature: the Flow builder.

Data governance is a set of rules, processes, role delegations, and responsibilities that clearly define data quality, accessibility, data security, and regulatory compliance for an organization’s enterprise data management. You are most probably already applying some sort of a data governance program - setting up rules for the management of data and acceptable use of data assets.

Marketing Intelligence empowers companies to leverage their in-house data with advanced data-driven insights to transform and optimize marketing efforts towards scalable growth. We talked to Marek, a battle-proven data scientist and co-founder of Marketing Intelligence. Marek started his career as a solo data scientist in a marketing team, grew into the Head of Marketing, and decided to marry the two fields into the successful company we nowadays know as Marketing Intelligence.

Ignorance is bliss. But not so much if it’s costing you money, right? If you are running an eCommerce business and are still not leveraging data to make data-informed decisions, you are missing out on crucial insights that can maximize your sales and minimize costs. One of the common misconceptions is that becoming a more data-driven company is complicated, difficult, and will cost a lot of money. This can be true, but there is also a better way.

In the era of big data, an unprecedented amount of data is available to companies to drive growth. Yet up to 73% of companies’ data never get used. What are the bottlenecks to accessing data? And why is there such a wide gap between the data we have in our data lakes and data warehouses and the data we end up using for making business decisions? The smoking gun is in the hands of data democratization.

In the era of hyper-personalization, your customers expect you to tailor your products and services to a market of one (aka, them). This is hard to do when the majority of big corporations are built for the masses, not for the hyper-niche markets. So how do you move from addressing the “male or female between 20 and 65 years” segment to having personalized conversations? With the Customer 360 view.