The State of Data & Analytics 2023
Our latest research report reveals that data and analytics continue to be extremely high on the list of priorities for senior executives as they strive toward business goals.
It also finds a number of key challenges that still face data and analytics leaders as they implement their data strategies, develop data governance, and scale AI and ML capabilities.
This study presents the findings of a representative study of 200 senior data and analytics professionals in the retail, financial services, banking, insurance, manufacturing, healthcare, and FMCG industries.
Download your copy of the report now to discover how the organizational data maturity is affecting business results, as well as insights from many of our esteemed speakers at CDAO UK.
Key Findings Include:
92% of data leaders were either optimistic or very optimistic about the value generated from their data and analytics projects
Only 13% of respondents placed their maturity level at a five, with their data and advanced analytics were fully embedded into company processes
75% of respondents expect AI/ML and predictive analytics to slightly or significantly overperform expectation
Our latest research report reveals that data and analytics continue to be extremely high on the list of priorities for senior executives as they strive toward business goals.
It also finds a number of key challenges that still face data and analytics leaders as they implement their data strategies, develop data governance, and scale AI and ML capabilities.
This study presents the findings of a representative study of 200 senior data and analytics professionals in the retail, financial services, banking, insurance, manufacturing, healthcare, and FMCG industries.
Download your copy of the report now to discover how the organizational data maturity is affecting business results, as well as insights from many of our esteemed speakers at CDAO UK.
Key Findings Include:
92% of data leaders were either optimistic or very optimistic about the value generated from their data and analytics projects
Only 13% of respondents placed their maturity level at a five, with their data and advanced analytics were fully embedded into company processes
75% of respondents expect AI/ML and predictive analytics to slightly or significantly overperform expectation