How to strengthen your company's data literacy

Those who use data wisely have competitive advantages and more profits. As a result, companies are increasing their focus on improving their data literacy. For example, the importance of data has led companies like AppNexus1 and Chevron2 to conduct internal data science competitions to identify and hone analytical talent. But, as noted in the kickoff blog post to our series on data-driven organizations, merely having data does not ensure you have a useful interpretation of that data.

Engineering Industry Embracing Qlik's SaaS Analytics to Address Environmental and Sustainability Concerns

Working in the engineering field means navigating a variety of needs. Those range from meeting various local and national regulatory statutes, to measuring and monitoring delivery of essential outputs like drinking water and power supply, to understanding the data surrounding regional operations on both the supply and demand side. Organizations that serve this market operate behind the scenes, yet impact our daily life in the United States.

The Future of Sports Data

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.

6 Ways to Lose Sports & Gaming Customers Through Poor Realtime UX

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.

Transform your business with cloud, search, and AI-driven analytics

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.

Six Top Trends and Predictions for Data, Analytics, and AI in 2021 And what to do about them

Although making predictions about the future is difficult even under the best of circumstances, it's never been more important for business leaders to focus, prioritize, and act in order to stay ahead of the technological curve-and the competition. The strategies you used to innovate and grow your business in the past will not be the same ones you use today. Rethinking how you use data to react and proactively adapt to change will be critical to your bottom line.