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insightsoftware > Case Studies > How Medidata Accelerated the Time-to-Market of their BI Projects and Enabled their Clients to take Data-Driven Actions
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How Medidata Accelerated the Time-to-Market of their BI Projects and Enabled their Clients to take Data-Driven Actions

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Real Time Analytics
Applicable Functions
  • Business Operation
Use Cases
  • Predictive Quality Analytics
  • Process Control & Optimization
Services
  • Software Design & Engineering Services
The Challenge
Medidata, a Value-Added-Reseller (VAR) of Dundas Data Visualization, specializes in ERP software development for local Portuguese Governments. They were facing demands from their clients for software that allowed them to better analyze and interact with the valuable data produced from the ERP software they were using. Medidata felt it necessary to add a Business Intelligence (BI) and Analytics solution to their portfolio of software products. By providing a BI and analytics solution, Medidata’s clients would be able to make better and more informed decisions in order to improve their efficiencies and productivity, redefine their processes as necessary, and increase or decrease resources if needed. In addition to their external needs, Medidata wanted a BI and analytics solution that would detect issues regarding data quality within their own internally used software.
About The Customer
Medidata is a Value-Added-Reseller (VAR) of Dundas Data Visualization that specializes in ERP software Development for local Portuguese Governments. Their primary objective is to modernize the technology and software programs used by Portuguese governments in order to combat the rapid evolution of the market. They are committed to continuous development by providing products and services (such as Support Systems, Back Office Applications, Document Repositories, etc.) that increasingly meet the needs of Portuguese municipalities and their residents. Medidata is dedicated to providing their customers with ERP software products and services that help boost self-government, improve document management, and enhance workflow.
The Solution
Medidata has had a working partnership with Dundas Data Visualization since early 2009, when Dundas’ development core was Business Intelligence components. Their decision to migrate to Dundas BI was considered a ‘natural choice’ due to the current relationship in place, and their existing satisfaction with Dundas’ legacy products. Dundas got a better understanding of how Medidata planned to sell and market Dundas BI, and was able to put together an enablement program tailored specifically to Medidata’s needs. An onboarding process was created, which allowed Medidata the opportunity to test Dundas BI with full support, for an extended time period. Dundas also provided multimedia training content and webinars that simplified the learning curve, which resulted in an increase in adoption across Medidata’s organization.
Operational Impact
  • Medidata was able to validate certain database attributes (such as dates), which were inaccurate in some contexts but not in others. With Dundas BI, Medidata was able to discover their database inconsistencies and implement validation on those attributes, specifically using the Unknown Members functionality.
  • Medidata’s clients benefited from an increased ability to take data-driven actions, by being able to better identify and understand their key performance indicators (KPIs).
  • Their clients were provided with dashboards that included KPIs such as workflow performance, along with the ratio of workflow overdue tasks, grouped by department.
Quantitative Benefit
  • This has resulted in the resolution of 60% of the validity concerns Medidata faced.
  • Their client’s decision-makers were able to adjust resources in real-time, adjust task execution time in multiple scenarios, and ultimately improve their overdue tasks ratio.
  • Their clients’ manager’s productivity increased noticeably, and they experienced reduced uncertainty of why financial availability dropped below a predefined threshold.

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