As digital transformation efforts proliferate and become commonplace, data will take center stage as a critical driver of these initiatives. Organizations that are able to mobilize their data assets to power critical business initiatives will see a distinct advantage in the years to come. In fact, a majority of C-level executives (87%) believe that data has greatly disrupted their organization’s operations over the last 12 months.
It is challenging for medical device manufacturers to remain competitive in a fast-paced, cost-conscious market while offering high-quality, compliant products. A promising medical device may quickly experience a detour from its product roadmap or even an early retirement due to unexpected events, such as a safety issue necessitating a product recall or a quality issue resulting in a legal liability.
It is impossible to efficiently manage and ensure return on data center investments without accurate and timely data.
Continuous, real-time asset tracking, management, and environmental monitoring must be integrated into your capacity planning to ensure protection of your investments and to drive bottom line return on every data center asset in your organization.
How are enterprise organizations handling the growing complexity of big data environments?
With over 275 vendors and products in the data platform and analysis landscape, growth is expected, but so too is convergence of data platforms.
In this Executive Brief, you will learn
The transformation of enterprises required to initiate big data analysis involves many catalysts for successful change. Creating a predictive enterprise involves precise strategic planning and establishing a top-notch data science unit.
The position of data science within an enterprise will impact the outcome of Big Data analytics.