Data 'Poka-Yoking' With Data Observability for the Modern Data Stack

While in the past, businesses used data to gain an edge over their rivals, in today’s competitive environment, data is imperative to stay in business. Modern businesses rely increasingly on data to manage all aspects of their operations, from everyday workflows to impacts on business strategy and customer interactions. As a result, data stacks have become extremely complex.

Seven Benefits of Investing in Cross-Functional Data Projects

Nowadays most people in organizations understand how visibility into data adds overall value and there is a general dedication to be and remain data driven and increase overall data literacy. At the same time, sometimes there are limitations to how much organizations want to invest or augment their investment in data projects. It's important to make sure that companies have support across departments to budget appropriately for their data needs.

Using Data To Create A Superior Customer Experience For Digital Payments

The digital payment market is experiencing explosive growth, and the competition among digital payment app providers is fierce. In India, which has the largest digital payment market in the world, Ring is setting itself apart from the crowd by tapping into the power of Snowflake’s Data Cloud to harness the data needed to provide a superior customer experience. Learn more in this “Data Cloud Now” interview with Ring Founder and CTO Karan Mehta.

Calibrating For Crisis - Here Are the Data Trends Helping Businesses Thrive In 2023

Whether inflation, global conflict or supply chain disruption, 2022 has been full of significant events that have fundamentally impacted the business landscape. The undercurrent is an accelerating de-globalization process. But this isn’t just geo-political in nature; the re-distribution of power and fragmentation of data are inextricably linked. As a result, data-driven businesses are having to adapt to a more distributed world – fast.

Offensive vs Defensive Data Strategy: Do You Really Need to Choose?

Deliberations about defining your data approach often revolve around an offensive vs defensive data strategy. Here, an offensive strategy is focused on driving positive outcomes through increased revenues and profitability or by providing an enhanced customer experience. The primary objectives of an offensive data strategy are typically tailored to the product or business side of the organization, prioritizing AI and analytics use cases to drive superior commercial or financial outcomes.

FIFA World Cup 2022: Insights from Spotters

The FIFA World Cup 2022 is nearing its end, and the final game promises to be a nail biter. What started with 32 countries battling it out for close to a month, will now culminate in a play-off between Argentina and France. FIFA projects more than 5 billion people to tune in for the tournament, perhaps making the World Cup Final 2022 the most watched event of the year!