Systems | Development | Analytics | API | Testing

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.

Marketing, sales, and growth leaders are screaming “customer is king”. There is a palpable FOMO around customer-centricity: But what we are missing is a concrete guide that showcases how to build better customer experiences. In this step-by-step guide, we will dive deep and showcase how to set up a customer experience strategy from the ground up to delight your customers.

Qlik enhances analytics exploration in Snowflake by launching Direct Query, a new capability that allows Qlik Sense applications and dashboards to query Snowflake directly using SQL pushdown.

From creating a single source of truth to reducing the amount of human errors and time spent building reports, here is why dashboards are important.

Learn how to build a complete SEO client dashboard in 6 easy steps and automate your client’s SEO reporting process.

Geospatial data has many uses outside of traditional mapping, such as site selection and land intelligence. Accordingly, many businesses are finding ways to incorporate geospatial data into their data warehouses and analytics. Google Earth Engine and BigQuery are both tools on Google Cloud Platform that allow you to interpret, analyze, and visualize geospatial data.

As the Senior Director for Marketing Ops at ThoughtSpot, I’m the owner of our full marketing and sales tech stack. So, you know. No pressure. I started out as a Marketing Analyst — certified Tableau superuser, the whole deal. And I’ve got to say what I can do now versus what I could do then is night and day. What used to take me hours in Tableau back in 2015 literally takes me minutes in ThoughtSpot.

Snowflake has once again transformed data management and data analytics with our newest workload—Unistore. For decades, transactional and analytical data have remained separate, significantly limiting how fast organizations could evolve their businesses. With Unistore, organizations can use a single, unified data set to develop and deploy applications, and analyze both transactional and analytical data together in near-real time.

Sometimes the need for processing power you or your team requires is very high one day and very low another. Especially in machine learning environments, this is a common problem. One day a team might be training their models and the need for compute will be sky high, but other days they’ll be doing research and figuring out how to solve a specific problem, with only the need for a web browser and some coffee.