Posts Tagged ‘Oracle Data Management Workbench’

Oracle’s EPM September release contains three key updates. These three updates impact Smart View users, customers using Data Management, and those using journals within Financial Consolidation and Close. Continue reading below for explanations of each!   Smart View – Drill to All Levels in Base A new option named “Drill to All Levels in Base” […]

Now that September is here, I thought it would be neat to look back at what our readers found most interesting last month. Below are the top five blog posts Perficient’s life sciences practice wrote in August – they’re ranked in order of popularity, with number one being the most viewed piece. What The FDA Requires Of […]

This Thursday, Perficient is hosting a webinar on Oracle Data Management Workbench (DMW) alongside Oracle, one of our most valued partners. From Perficient, we’ll have Prabha Ranganathan, the director of clinical data warehousing and analytics, and from Oracle, we’ll have Srinivas Karri, the director of product strategy for DMW. Yesterday, I got a sneak peek […]

Now that March is here, I thought it would be neat to look back at what our readers found most interesting last month. Below are the top five blog posts Perficient’s life sciences practice wrote in February – they’re ranked in order of popularity, with number one being the most viewed piece. How And Why I Use Oracle VM […]

In my previous post, we discussed some examples of business rules that might be applied depending on how many people are performing a clinical data review. Today, we’ll discuss approaches for selecting the data that is being reviewed. In any data review that occurs multiple times during the course of a study there are two […]

In my last post, I discussed performing a clinical data review in Oracle’s Data Management Workbench, which takes value added data into consideration. Today, we’ll take it a step further and add external data into the mix. This scenario extends the data available for review by including data from external partners who may be managing […]

In my previous post, we discussed a simple scenario for reviewing clinical data cleanliness in Oracle’s Data Management Workbench. Today, we’ll discuss a similar process, although this scenario leverages value added data. Establishing value added data is another way to help the clinician to more quickly review the data and spot outliers and questionable data. […]