If you are part of a large modern enterprise, you probably consider your company to be data-aware, meaning that you can transform raw data into useful information using a variety of data integration, data management, and business intelligence (BI) tools. But being data-aware doesn’t necessarily mean that you are insights-driven. These days, your organization must…

This post was guest-written by Dan Woods, CEO of Evolved Media & Chief Analyst of Early Adopter Research. Dan creates ideas about technology products, based on a broad technical understanding. By writing as an analyst in Forbes and working with Evolved Media’s clients, he sees the magic in technology and why it matters to IT buyers. It’s…

Co-written with Peter Memon, Managing Director – Global Head of Emerging Technology at Synechron. This article was originally posted on Synechron Mind the Gap between Technology and Business Intent Solutions to complex analytical problems often rely on the craftsmanship of highly-specialized experts in data science, machine learning, and other branches of artificial intelligence.  The extent to which advanced…

For those of you who are always on the move, I’ll not hold you down and instead quickly tell you that you can easily get started with visualizations on Apache Kafka topics with KSQL without a big time investment, and you can get help from us in our new community forum at alexandria.arcadiadata.com. For the…

Companies are extending data and analytics across departments, so “a follow-on effect is that personnel who previously didn’t have to perform analytics now have to do so in order to do their jobs,” according to the 451 Research report Citizen Data Scientists: The New Darlings of the Analytic Sector? Download the report to read 451…

If you are a believer in Betteridge’s Law, then you’re in for a surprise (though perhaps I should’ve titled this blog as, “Are Data Lakes Doomed to Fail?” so as to not contradict the law). Data lakes can, in fact, be saved. If you are reading this post because you are intrigued by the title,…

The need for immediate access to data is a popular theme in business today. The most successful companies will be those that react quickly to changing environments. One of the biggest challenges organizations face today is ensuring that many different types of users get access to granular data in a timely manner in order to…

As in any hot technology market, people become either enamored or confused by new terms and acronyms: AI/ML, GDPR, IoT, big data, data hubs, and of course, “data lakes.” A few weeks ago at the Gartner Data and Analytics Summit in Grapevine, TX, I attended 11 sessions, three analyst inquiries, and talked with dozens of…

It’s cool today to proclaim that Hadoop is dead. It’s perhaps even cooler to ignore Hadoop altogether. Just ask some of the cool technology vendors today like Cloudera, Hortonworks, and MapR, who no longer find the need to aggressively tout their Hadoop roots. And where are Hadoop World and Hadoop Summit, the main conferences for…

There’s an interesting truth about analytics on big data—once you complete your first analysis and find those deep insights you always thought required a CS or statistics degree from a top-tier school, you just want more. As businesses become more data-driven, employees in more departments need data to manage their universe. Not static bar charts…

Many leaders have outdated assumptions around their BI environments that they take for granted. The world of BI continues to change. These changes are driven by three major trends. Unfortunately, many organizations still approach BI with a traditional mindset and traditional models that just won’t work. In this article, I’ll discuss the trends shaping the…