Žiga Vaupot's Blog

Oracle Analytics Cloud (OAC) is now frequently updated on bi-monthly basis. May Update release has been announced a week or so ago, and I was able to take a look at preview version which brings again several nice new features and functionalities . The one that has drawn my attention was Maps Conditional Formatting , an option to highlight important data events in map visualizations along with other visualization types. So how does this work? Actually, it is very straight forward as the same model is used as with any other conditional formatting. The map above is the starting point and presents profitability by country. Couldn't be more simple, right? In order to implement conditional formatting on the map, click on the traffic light icon ( Manage Conditional Formatting Rules ). This will open Conditional Formatting popup window. Select to what this particular conditional formatting applies to, the whole workbook or just selected visualization. Provide a name for the rule a

Being able to talk, by using natural language, to computers, especially with the advancements in general AI models like ChatGPT, has become very fashionable in the last couple of months. Everybody does it. It is simple, easy to use and let's be frank, it can be also very useful. Something that has been around for a while, remember Siri or Alexa or TV remote controllers, has been lifted to a new level and has wide spread use in business already. A bit of a secret is also that  Oracle Analytics  can use natural language, query and generation. Here are some of my findings about NLQ and NLG support in  Oracle Analytics . Natural Language Querying (NLQ) In Oracle Analytics , NLQ has already been around for a while, at least for some years now. I remember those early days when Oracle Day by Day mobile application has been introduced. One of the coolest features in Day by Day was actually the ability to ask a question using natural language. Something like What is revenue by region a

About Watchlists In this short post, I am discussing a very nice usability feature in Oracle Analytics called the Watchlist . Users at their everyday's work frequently use a specific and limited number of reports or analyses. Oracle Analytics lets users to mark these reports or analyses as favorites, which means these analyses will be displayed in the Favorite Workbooks section of Oracle Analytics Home Page , hence enabling users with fast and easy access to their favorite analyses. Another way of presenting frequently used content, available in the latest release of Oracle Analytics , is the Watchlists. This idea has already been introduced in Day by Day mobile application, and same functionality is available in Oracle Analytics Mobile app. The idea is to give users ability to run analyses and review results of selected visualizations, like visualization cards , in user's home page without actually opening any of them. Users are not require to review analyses if they

Gartner has published its  Magic Quadrants for Analytics and Business Intelligence Platforms  (Gartner, 2023) report for 2023, on April 5th.  As usually, it presents how various analytics and BI vendors position regarding the completeness of their vision and ability to execute. It is considered as “the go-to resource” when evaluating and comparing these technologies. In this post, I am trying to look at Oracle’s position and explain why Oracle is placed where it is placed - in Visionaries quadrant. Of course, everything from here on, is my personal view and experience. Personally, as I said, I am mostly interested in Oracle’s position which is (if I recall correctly) in Visionaries quadrant for the 3rd straight year in the row. It seems that Oracle with its Oracle Analytics Cloud has the strongest completeness of vision among all Visionaries, and in general only Microsoft seems stronger in this respect. But on the other hand side, there is quite a crowd of vendors in Visionaries quad