Systems | Development | Analytics | API | Testing

We’ve been speaking with many auto and equipment finance organizations over the last year, and they all say that their technology landscape is growing more complex by the day. The Auto and Equipment Finance Orchestration solution that Accenture has built with Appian seeks to address this.

In 2020, the gaming market generated over 177 billion dollars, marking an astounding 23% growth from 2019. While it may be incredible how much revenue the industry develops, what’s more impressive is the massive amount of data generated by today’s games. There are more than 2 billion gamers globally, generating over 50 terabytes of data each day.

Businesses are now storing more personal data on their customers than ever before—from names, addresses, and credit card numbers to such as IP addresses and browsing habits. Understandably, many consumers are speaking up and pushing back on how these businesses use their data—including an insistence on the “right to data portability.” Data portability is an essential issue for companies that must comply with regulations such as the GDPR and CCPA.

When it comes to closing the technology delivery gap, most organizations are seeing in the IT space, API-led connectivity as the missing link. APIs are a powerful way to integrating your systems, applications and databases and API-led connectivity is the new way of connecting your business. API-led connectivity comes with a few key advantages that make it an increasingly attractive option when achieving seamless technology delivery across the organization.

Even though automated testing helps you do more software testing in less time with fewer people, maintaining your test suite can be very time-consuming. Many QA teams have a hard time keeping up with maintenance as their product grows. If they fall behind, they get more and more false positives (i.e., cases where the test fails because of a problem with the test, not a problem with the application).

Greetings, my dear readers. It’s been some time since I’ve posted my last article. This is the third chapter of the introduction to the internal data world of Keboola. In the previous chapters, I’ve posted about an introduction to our internal reporting and communication with our users. Since the last time, a couple things have happened.

Kindred Group is a publicly-traded gambling operator with offices across four continents, offering entertainment options such as online poker, sports betting, and online casinos. Since its founding, Kindred has experienced fast growth acquiring nine different gambling brands over the last 20 years. With over 30 million customers globally and numerous brands to manage, the Kindred team had a pressing need for a good data management system.