Following on from Jon’s blog post “User Engagement: Why does it matter?”, I would like to take this one step further by talking about measurement. At Rittman Mead we believe that if you can’t measure it, you can’t improve it. So how do you measure user engagement?
User engagement for OBIEE is like most web based products or services:
- both have users who access the product or service and then take actions.
Other articles included:
- Tom Kyte's column looked at tips on automation, cleanup and database maintenance. Some of the details included index rebuilds, indexing interMedia files, killing and cleaning up sessions, (more...)
ODTUG KScope’15 is running in Hollywood, Florida next week and Rittman Mead are running a number of sessions during the week on OBIEE, Essbase, ODI and Big Data. I’ve personally been attending ODTUG KScope (or “Kaleidoscope”, as it used to be known) for many years now and it’s the best developer-centric conference we go to, coupled with amazing venues and a great community atmosphere.
Sessions we’re running over the week include:
- Gianni Ceresa : 2-in-1: (more...)
In yesterday’s post on using Oracle Big Data Discovery with Oracle Visual Analyzer in Oracle BI Cloud Service, I said mid-way through the article that I had to copy the Hadoop data into BI Cloud Service so that Visual Analyzer could use it; at present Oracle Visual Analyzer is only available as part of Oracle BI Cloud Service (BICS) so at some point the data prepared by Big Data Discovery had to be moved (more...)
Although you’ve been hearing a lot on the blog recently about extending Oracle BI&DW with Hadoop and big data technologies, another initiative Rittman Mead have been working on over the past couple of months is user engagement. All-too often developers create BI systems that meet all an organisation’s technical goals, but then fail to get adopted by users for reasons we can’t understand; all we know is that our brilliantly-architected system just doesn’t seem to (more...)
So now that Oracle Visual Analyzer is out as part of Oracle BI Cloud Service, and Visual Analyzer (VA) is due to ship on-premise as part of OBIEE12c sometime in the next twelve months, several of our customers have asked us if they need both VA and Oracle Big Data Discovery if they’re looking to analyse Hadoop data as part of a BI project. It’s an interesting question so I thought it’d be useful (more...)
For every dashboard succinctly displaying key business metrics, there’s another that is a set of unconnected graphs which don’t provide any insight to its viewers.
In order for your users to get value from your business intelligence and analytics systems they need to be engaging, they need to tell a story.
As part of its User Engagement initiative Rittman Mead has created a User Engagement Service. A key part of this is a Visual (more...)
- Fixed an issue where the username and password passed via the command line were improperly logged
- Fixed an issue reading MaxL XML data sources when the alias or UDA contained xml encoded characters such as the ampersand (&) character.
- Updated labels on the Input Source tab of the user interface to clarify their (more...)
As with any product or technology, the more you use it the more you learn about the “right” way to do things. Some of my experiences implementing Oracle Business Intelligence Applications 11g have led me to compile a few tips that will improve the overall process for installation and configuration and make the application more maintainable in the future. You can find me at KScope15 in Hollywood, FL beginning June 21st, presenting this exact topic. In this post I want (more...)
I have my blog (come website) on the go for a few years now. It all started out as a notebook really for myself and a way of recording certain things so that I could find them easily later.
Over time it has developed into some more that that and it now covers a number of technical how-to type of articles and some of my Oracle User Group (and ACE Director) activities.
It all started (more...)
"Hi, I'm Chucky. Wanna play?" Fans of the horror film genre will surely recall these lines - innocent-sounding on their own, yet bone-chilling in the context of the scene in the movie - that Chucky, the possessed demonic doll, utters in the cult classic, "Child's Play". Called a "cheerfully energetic horror film" by Roger Ebert , the movie was released to more than (more...)
Oracle released an update to Oracle BI Cloud Service a few weeks ago that included the new Oracle Visual Analyzer within the product, along with some other improvements including support for full Oracle Database-as-a-Service as the database backend, the ability to upload RPDs and run them in the cloud, and support for a new utility called DataSync. In this post though I want to take a quick look at Visual Analyzer, and in-particular look at (more...)
Monopolies may have the luxury of getting distracted. If you were a Microsoft in the 1990s, you could force computer manufacturers to pay you a MS-DOS royalty for every computer they sold, irrespective of whether the computer had a Microsoft operating system (more...)
PMML (Predictive Model Markup Langauge) is an XML formatted output that defines the core elements and settings for your Predictive Models. This XML formatted output can be used to migrate your models from one data mining or predictive modelling tool to another data mining or predictive modelling tool, such as Oracle.
Using PMML to migrate your models from one tool to another allows for you to use the most appropriate tools for developing your models (more...)
The value of any system can be measured by how often you interact with it. The perfect example is Slack, which is now seen as the most successful collaboration app ever and is valued at $1.2bn. The key metric for this is DAU/MAU (the ratio of daily users over monthly users), which scales from 0 (no visits) to 1 (every user visits daily) based on how active your users are.
How does this (more...)
InfoCaptor now officially works with Cloudera’s Hadoop distribution and specifically with Hive and Impala.
Once you get connected to either Impala or Hive you can perform drag and drop visualization just like with any other data source.
InfoCaptor adds native Impala and Hive functionality within the Visualizer so you can leverage Date/time functions for date hierarchy visualizations.
Read the details about InfoCaptor does big data with Impala and Hive
One of these is the DATE datatype.
The main issue that you have to look for is the TIMEZONE conversion that happens then you extract the data from the database into your R environment.
There is a datatype conversions from the Oracle DATE into the POSIXct format. (more...)