Part 3: Patient Recruitment
This new series focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contain a specific use case, the business value derived, and the technology synopsis to achieve the outcome. Continue reading Innovating Business Through Data: Part 3 – Patient Recruitment
Many organizations are data rich and information poor. Industry leaders believe continued success will be significantly influenced by their ability to maximize the value of their data assets. Continue reading Provider Data Governance: Manage Data as a Valuable Asset
Ashish Haruray, a Solution Partner with Knowledgent and a Collibra Certified Ranger, recently partnered with Collibra University to discuss the lessons learned through a failed data governance initiative, and what could have been done to prevent it. Continue reading Learn How to Avoid Bad Outcomes in Data Governance with Knowledgent at Collibra University
As the financial services industry is rapidly transforming to a digital culture, there is an explosion in the quantity and complexity of data. At the same time privacy concerns continue to increase, new and more complex regulations arise, and demand for faster access to data and consistency across multiple domains grows from the business. Continue reading Accelerate the Access, Use, and Consistency of Data in Financial Services
In Pharmaceutical R&D, Research and Development are always grouped together almost unconsciously at this point. While connected, the Research and Development areas tend to have different needs and different ways of doing business. Continue reading Why Research is the Perfect Place to Begin Your Data Lake Initiative
Depending on your perspective and what you are trying to achieve, “quality” takes on different meanings. That being said, most people would probably agree that data quality relates to some degree of “correctness”. However, data can be correct in different ways.
So, what is “quality”? Many might say that quality is having the correct information, but that is only part of the data quality story. I like to think of quality as a three-legged stool, where each “leg” or characteristic is critical in supporting the overall structure.
Continue reading 3 Main Factors for Data Quality