In today's rapidly evolving digital landscape, Chief Data Officers are increasingly tasked with demonstrating the return on investment (ROI) from data initiatives. The ability to articulate this ROI not only garners interest but also drives commitment to using data as a strategic asset. Concurrently, CDOs must navigate the complexities of adopting emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to spur greater innovation and business efficiencies.
So what’s inhibiting CDOs from leveraging company data to achieve these objectives? For large enterprises, three challenges stand at the forefront:
- Low Data Literacy – The inability to gain a meaningful understanding of data management principles and practices has led to low data literacy among employees seeking data insights to drive decision-making.
- Suspect Data Integrity – Gaps in data management tooling and practices have led to low visibility and trust in data, as well as the inability to orchestrate the use of data across the company in a coordinated and streamlined manner.
- Inefficient Management of Security and Regulation Concerns – Manual and time-consuming fire drills in response to the evolving landscape stymies efforts to advance data management practices that drive greater data literacy and usage.
At the center of these challenges is the recognition that in order to stay competitive, organizations that have historically relied on core platforms like the IBM® Mainframe for success must find pathways to integrate them with the cloud – thus realizing a hybrid cloud strategy that effectively drives application and data modernization.
Download this whitepaper from The Futurum Group for a comprehensive understanding on how efficient hybrid cloud management enables CDOs to effectively demonstrate ROI to business leaders, as well as manage the integration of AI and ML technologies amidst the complexities of security and regulatory compliance in the modern data landscape.
