Unless you’ve been living in a cave these last few months (a cave that somehow carries sufficient WiFi coverage to reach our blog), you’ll doubtless have heard about machine learning. If you’re a developer, chances are you’re intrigued. The machine learning algorithm, which solves problems without requiring detailed instructions, is one of the most exciting technologies on the planet.

Getting the right metrics at the right time could be the difference between running a smooth operation and making costly mistakes. And yet, data delays are still very much a part of data analysis today.

At RSA this year, we introduced a series of new enhancements to Security Analytics – our new app for helping organizations combat security threats and meet compliance requirements. We are now happy to announce the official release of one of these features — Drilldown!

So much of our decision making is made based on firmly held beliefs and stories we have absorbed in our lifetimes. Generally referred to as type one thinking – this is fast, emotional and generally unconscious. It is a type of thinking that is very useful for making day to day decisions like what to wear, what to have for lunch or how to get to work. However, this type of thinking is inherently flawed and full of bias.

The introduction of AI, automation and data storytelling to the world of analytics has not only had an immediate impact on the end users of analytics but also the people that work in the field. While many analysts may fear they will be replaced by automation and AI, CEO of Yellowfin, Glen Rabie, believes that the role of the data analyst will increase in significance to the business and breadth of skills required.

Lots of organizations use Google Analytics and Google Insights to monitor the effectiveness of their digital marketing. While it looks appealing, some of the information it delivers is almost meaningless. It’s so complicated that it doesn’t help you understand what’s happening in your business.

In the latest release of Splunk Security Essentials (Version 2.4) (SSE), we added a new set of features centered on choosing the most relevant analytics called the Analytics Advisor. If you would like to learn more about what it does (and you most certainly do!), head over here to go into greater depth about Analytics Advisor. In this post, I will show how you would benefit from using this awesome new feature!

At the dawn of the 20th century in South America, regional powers Chile and Argentina enjoyed dominant naval positions, driven by the best and latest technology available. The remaining chief power on the continent found itself far outstripped in capabilities, and in 1905, newly emerging Brazil responded to this naval imbalance by ordering three new battleships from Britain. However, the appearance of the revolutionary new warship HMS Dreadnought in 1906 caused Brazil to quickly scrap these plans.

Mattress marketers love to remind us how much time we spend in bed. It’s a simple value proposition; who wants to spend a third of their lives being uncomfortable? According to research by IDC, CFOs say that up to 70% of time spent with data is devoted to formatting and presenting it in a way that can support decision making. Why are companies okay with spending nearly three-quarters of their time doing busywork?