Tag: 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 […]

Any sufficiently advanced technology is indistinguishable from magic. -Arthur C. Clarke

“He uses statistics as a drunken man uses lamp posts—for support rather than for illumination.” —Andrew Lang When it comes to the data, it is culture first and capability second. In my previous post, I talked about how executives can create a data-driven culture in their enterprises. In this post, I am going to dive […]

In our latest “Ahead in the Cloud” post featuring Colleen Camuccio, VP of Program Management at Dow Jones, she explains how the AWS Cloud has helped transform and optimize their customer data platform program, which she directs. Now, she’s looking ahead to more innovation and business value for Dow Jones, leveraging the cloud. As if […]

Our enterprise strategy blog—like the rest of Amazon and AWS—is oriented around the expressed needs of our customers. We write about the issues and challenges facing the enterprises we meet with, and try our best to give them new ways of framing problems, of anticipating the future of IT, of thinking about the cloud and […]

Advancements in artificial intelligence (AI), machine learning (ML), and big data technologies enable organizations to harness the troves of data being captured (or which were previously thrown away), bringing new insights, automating processes, and even creating new products, services, and businesses. AI, ML, and the associated data (powered by the AWS cloud) is a critical […]

who_is_danny/shutterstock.com In my last post I covered why every organization has a big data problem. In summary, the shortcomings in legacy database technologies (and associated infrastructure costs) lead companies to fragment and throw a lot of data away because it’s not perfect, too big, too old, etc. In this post I’ll cover what businesses should […]

“Raining Data” by Joe Chung (created in Blender) The weekly Excel report comes out and is delivered to your email. As you review it, you see an anomaly in the financial data that you don’t understand, despite the pivot table provided in the report that allows you to drill down to at least some level […]

In his post on the AWS Public Sector blog, John Brady, the CISO of the Financial Industry Regulatory Authority (FINRA), talks about building a data lake in the cloud to reduce the cost of curiosity. The concept is brilliant and consistent with the way I like to think about agility and innovation: that reducing the […]