Posts Tagged ‘DMW’

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 […]

When it comes to clinical trials, bad data can result in severe consequences. Research and development can become more complicated and lives can be put at risk. Clean clinical data is critical for accurate analysis and reporting, ultimately enabling safer drugs and devices to be brought to market faster. In this two-part blog series, we’ll […]

In the previous post, I talked about varying levels of scrutiny for data review and what happens when recording the user actions. In this post, I will talk about the importance of the user interface for a review. Successfully navigating requirements, design, development, testing, user acceptance and ongoing support of any application requires user involvement […]

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 blog post entitled Using On-demand Data With Dynamic Data Writeback In Spotfire, I discussed using Spotfire as an aid for Clinical Review of data along with supporting writeback capabilities to record the user review actions.  As a follow-on discussion, I wanted to expand those capabilities to include Clinical Data Cleaning Review in […]

When it comes to clinical trials, the consequences of bad data can be severe. Research and development becomes complicated and lives can be put at risk. The need for clean clinical data is critical for comprehensive reporting and analysis, ultimately enabling safer drugs and devices to be brought to market faster. Join us this Thursday […]

  Oracle recently created a short video that explains what Data Management Workbench (DMW) is all about. In short, DMW is an application that is part of Oracle’s clinical data warehousing suite that’s designed to combine data from various data sources and third-party providers, and transform it into standard data models. In addition to the […]