Category: Analytics

For more than a decade, organizations have embraced data lakes to overcome the technical limitations of data warehouses and evolve into more data-centric entities. While many organizations have used data lakes to explore new data use cases and improve their data-driven approaches, others have found the promised benefits hard to achieve. As a result, the […]

Never waste your time; it is too precious. There are never any guarantees we will have tomorrow. —Catherine Pulsifer, Author “I don’t have enough (fill in the blank)” is a common refrain in the face of new demands. It’s normally followed by that much-loved phrase “We need to prioritise.” I’ve observed that the challenge is […]

Powering transformations with real-time data How much of your company’s resources are spent searching for answers to day-to-day operational issues and writing reports, looking inwards rather than focusing on your customers’ needs? While technology has dramatically changed our world in many ways, the way organizations work has not always kept pace. This was illustrated in […]

Like other industries, insurance must respond to rising customer expectations for digital interactions. In this post, Tony Jacob, Amazon Web Services’ Worldwide Insurance Business Development Manager, explains how insurers can deepen their relationships with customers by engaging them digitally. Interestingly, he finds that the challenges have less to do with the digital interactions themselves, and […]

            From speaking with enterprise customers of all shapes and sizes, it is abundantly clear that we all share the same challenges: we’re racing to digitize our businesses, turn stalled progress into frequent innovation, and leverage data and machine learning. However, I feel there’s a gap in understanding how critical […]

Application modernization is one of the big drivers of cloud adoption, with enterprises considering it as an opportunity to not just reduce operating costs as they move their core technology to the cloud, but also to improve performance, resiliency, and speed of delivery for new products and features. Enterprises also begin to modernize their architecture […]

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” ― Jim Barksdale Conversations about data-driven enterprises often focus on tools, big data, and the technological advancements that have made storing, processing, and analyzing data faster and cheaper. While these are all important, creating a data-driven culture […]