Analysis Government Healthcare Strategy 
Collibra
MAY 5, 2022
Pharmaceutical, biotech and medical devices firms, among others, must comply with a plethora of regulations. This requires every company to perform gap analysis to determine what is required and then update their systems, processes, workflows and data management strategy accordingly to ensure compliance.
IBM Big Data Hub
MAY 9, 2024
The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.
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erwin
AUGUST 13, 2020
Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., Customer Engagement : How can we better engage with customers including brand, loyalty, customer acquisition and product strategy? operating strategy, global business services and shared services)?
IBM Big Data Hub
AUGUST 7, 2023
Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. Additionally, biopharma companies may find themselves building out AI capabilities in-house sporadically and without overarching governance.
erwin
MARCH 30, 2020
Managing and Governing Data From Lots of Disparate Sources. This data will be collected from organizations such as, the World Health Organization (WHO), the Centers for Disease Control (CDC), and state and local governments across the globe. Data lineage to support impact analysis.
Data Matters
SEPTEMBER 3, 2020
NAIC staff noted that guidance will also be prepared for the Financial Analysis Handbook , which will include clarifications regarding the confidentiality and purpose of the GCC, and that such guidance will also be exposed for comment. Revisions to Model 440. Impact of XXX/AXXX Reserves on Group Capital Positions.
erwin
FEBRUARY 7, 2019
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down. That’s time needed and better used for data analysis.
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