Systems | Development | Analytics | API | Testing

We are living in an unprecedented time driven by rapidly changing economic scenarios, the rise of digital native organizations and growing digital revolution, and the emergence of transformative business models. At the heart of much of this revolution is data. Organizations are collecting, analyzing, and mining data at an accelerated rate, creating new opportunities for powerful insights that deliver significant business impact.

Today, just 24% of organizations say they've succeeded at becoming data-driven.* This is a challenge many data leaders are still struggling to solve despite increasing demand for data-driven insights from business users. Migrating to a cloud data warehouse is a good first step-and many have done so-but introducing new technology is not the same as ensuring adoption. To truly reap the benefits of your cloud data warehouse investment, you need an equally fast, scalable, and easy-to-adopt analytics solution to make your cloud data available to all.

This white paper provides a continuous testing benchmark and practical advice from experts. See where your team is at and the steps needed to advance upon.

I watch sports for a living. I couldn't tell you the last time I watched a baseball game from beginning to end. Data is one of the most valuable resources around. But data is no longer something that languishes in a database to be looked at later. Like sports events, data is now live. The sports industry can reap and build on innovations in the realtime data space. But this is no long a nice-to-have. Driven by changing fan behaviour this is now a commercial imperative.

Sports and gaming app users demand an uninterrupted, true realtime experience. Almost 90% of US adults now use a mobile device while watching sports. In competitive arenas with similar offerings, like betting or sports, then you absolutely cannot afford to deliver poor mobile experiences. Customer experience is the new competitive battleground and realtime mobile experiences are an essential part of that.

With the ever increasing frequency of cyberattacks, software security is not only essential but necessary. The most effective and efficient practice for safeguarding software is with secure coding standards. When used effectively, these standards prevent, detect, and eliminate errors that could compromise software security. Even though secure coding standards are not overly complex, it can nevertheless be a challenge knowing when and how to use the right standard. For that reason, it is important that you learn about the key secure coding standards and how to comply with them.

The GDPR (General Data Protection Regulation) requires businesses to protect the personal data they hold for any citizens of Europe. It pertains to those organizations that operate within the EU (European Union), and also those that offer goods and services to individuals in the EU. Proving GDPR compliance is all about documentation. It can be difficult, however, to cover your bases reliably and efficiently. Especially when regulations change.

Despite huge investments in data and analytics over the last two decades, many companies are still struggling with how to become truly data-driven. What are data leaders doing at the organizations that have figured it out? In this white paper, DATAcated Academy's Kate Strachnyi explores four key strategies for critically evaluating your entire data and analytics stack and systematically removing the barriers that exist between their business users and business-critical insights.