Enterprises Eye Cloud-Native Platforms for Modern Data Analytics Strategy
April 19, 2021
new report by MIT Technology Review Insights
explores how decision-makers from leading
organizations excel by deploying advanced
cloud-based technologies, including
analytics and machine learning capabilities.
The findings are as follows:
Technology-enabled collaboration is creating a working data culture. The chief data officers interviewed for the study ascribe great importance to democratizing analytics and machine learning capabilities. Pushing these to the edge with advanced data technologies will help end-users to make more informed business decisions—the hallmarks of a strong data culture.
Machine learning's business impact is limited by difficulties managing its end-to-end lifecycle. Scaling machine learning use cases is exceedingly complex for many organizations. The most significant challenge, according to 55% of respondents, is the lack of a central place to store and discover machine learning models.
Enterprises seek cloud-native platforms that support data management, analytics, and machine learning. Organizations' top data priorities over the next two years fall into three areas, all supported by wider adoption of cloud platforms: improving data management, enhancing data analytics and machine learning, and expanding the use of all types of enterprise data, including streaming and unstructured data.
Open standards are the top requirements of future data architecture strategies. If respondents could build a new data architecture for their business, the most critical advantage over the existing architecture would be a greater embrace of open-source standards and open data formats.
data is highly complex and can be a real
challenge for organizations. But creating
the right architecture is the first step in
a huge business transformation," says
Francesca Fanshawe, editor of the report.
"There are many models an enterprise can
adopt, but ultimately the aim should be to
create a data architecture that's simple,
flexible, and well-governed."