We had an enlightening discussion with Rad Aniba and Noel Gomez as they shared insights inspired from their career in implementing data strategy within organisatio .
In the rapidly evolving landscape of life sciences, where innovation is paramount, numerous organizations have foundered in their efforts to establish effective data strategies. Despite recognizing the potential of big data and analytics to revolutionize drug development, personalized medicine, and patient care, a surprising number of life science entities struggle to harness their data's full power. The reasons for these failures to implement effective data strategies offer a cautionary tale for organizations across all sectors.
One notable example can be traced back to a report published by NewVantage Partners, which surveyed executives from major pharmaceutical companies and healthcare organizations. The report highlighted that a staggering 90.6% of respondents admitted they faced challenges in becoming data-driven. Additionally, 92.2% stated they continued to struggle with cultural challenges to organizational alignment and business adoption.
The causes are multiple. To dive deeper in this topic, there was a very open discussion between Rad Aniba and his guest Noel Gomez Co-founder of Datacoves on this topic. Both speakers have years of experience in implementing data strategy within organizations in industry.
Our Unscripted guest, Noel brings a wealth of experience and expertise in data management and strategy within the life sciences industry. With over 15 years of experience helping large organizations, Noel has worked with companies such as Pfizer, GSK, J&J, Amgen, and Kenvue, to name a few. He has implementation and change management experience working with both technical and business clients in their digital transformation initiatives. Noel is well-equipped to help us understand the challenges life science organizations face in implementing effective data strategies.
Below, the topics discussed in this podcast :
0:00 : Intro And Context
1:42 : Introduction Noel Gomez
3:53 : Definition of Data Strategy for Life Science Organizations
6:16 : Common problems life science organizations face during data transformation
10:03 : Importance of leadership buy-in to implement effective strategies
12:00 : Use Cases of effective data strategies implementation : Alignment is Key to Successful Outcomes
32:29 : Data strategy implementation is not just technical
36:10 : Importance of process continuity in Data transformation
39:48 : Importance of focus on the fundamentals
45:08 : Closure
