filmov
tv
Data Intelligence – Realizing the value and potential of your data assets
Показать описание
"I don’t know what data I have. I don’t know where it is. What I do know is that I need to realize its value, soon!"
Sound familiar? Healthcare company executives are increasingly asking these questions. You and your peers need to align and synchronize business views with the technical aspects of data management. By achieving Data Intelligence, only then will you have a reliable, agile, and efficient data capability with demonstrable and sustainable value.
EXL’s Enterprise Data Management business unit sponsored a webinar, Data Intelligence – Realizing the value and potential of your data assets. This webinar covered:
• The data dilemma the healthcare market is facing,
• The seven steps towards data intelligence,
• The components of Enterprise Quality Information Management (EQIM): data governance, data management, data catalog, and more, and
• The keys factors for a successful implementation.
The webinar featured EXL Healthcare’s experts in Enterprise Data Management.
John Backhouse is a visionary leader in Healthcare Enterprise transformations, with a 20+ year history of driving Healthcare organizations to translate analytical challenges into innovative solutions. John is known for his deep understanding of Healthcare and its highly complex demands, which has led him to success in many patient engagement initiatives. John’s comprehensive operational and systems experience offers clients a unique and extensive understanding of how the multiple players in Healthcare operate, collaborate, and succeed
Palani Munisamy is a managed Healthcare professional with 20+ years of well-rounded experience in payer and provider market segments. Palani is passionate about healthcare and has a deep understanding of business, operational, and IT functions of both payer and provider systems, and leverages this understanding to create value for clients. He brings extensive expertise in solution consulting, Healthcare analytics, client relationship management, business liaison, and global delivery
Sound familiar? Healthcare company executives are increasingly asking these questions. You and your peers need to align and synchronize business views with the technical aspects of data management. By achieving Data Intelligence, only then will you have a reliable, agile, and efficient data capability with demonstrable and sustainable value.
EXL’s Enterprise Data Management business unit sponsored a webinar, Data Intelligence – Realizing the value and potential of your data assets. This webinar covered:
• The data dilemma the healthcare market is facing,
• The seven steps towards data intelligence,
• The components of Enterprise Quality Information Management (EQIM): data governance, data management, data catalog, and more, and
• The keys factors for a successful implementation.
The webinar featured EXL Healthcare’s experts in Enterprise Data Management.
John Backhouse is a visionary leader in Healthcare Enterprise transformations, with a 20+ year history of driving Healthcare organizations to translate analytical challenges into innovative solutions. John is known for his deep understanding of Healthcare and its highly complex demands, which has led him to success in many patient engagement initiatives. John’s comprehensive operational and systems experience offers clients a unique and extensive understanding of how the multiple players in Healthcare operate, collaborate, and succeed
Palani Munisamy is a managed Healthcare professional with 20+ years of well-rounded experience in payer and provider market segments. Palani is passionate about healthcare and has a deep understanding of business, operational, and IT functions of both payer and provider systems, and leverages this understanding to create value for clients. He brings extensive expertise in solution consulting, Healthcare analytics, client relationship management, business liaison, and global delivery
0:33:13
0:51:22
0:49:49
0:02:20
0:22:00
0:08:42
0:50:30
0:43:29
1:00:26
0:09:54
0:44:29
0:04:27
0:37:21
0:08:53
0:09:44
0:00:54
0:47:24
0:22:46
1:00:23
0:04:04
0:05:11
0:01:05
0:05:13