Foundations of AI Success: Data Governance and Quality
Learn how robust frameworks and high-quality data are essential for reliable AI outcomes, especially in sensitive sectors like healthcare and finance.
Our Analytics Readiness Assessment identifies your organization’s current capabilities with analytics and readiness to implement a formal data and analytics program. This is an initial step toward developing the business case to plan and implement data lifecycle management practices and analytics.
The assessment begins with an executive overview of analytics terminology, concepts and industry uses. Then, an electronic survey is distributed to your executives, middle management, and staff to gather their perceptions about your current capabilities with analytics and to surface their ideas for using analytics to improve your business.
An initial planning session to identify the target audience for an analytics survey
Distribution of an electronic survey and summarization of the data collected
Assess organizational readiness to implement a data and analytics initiative
Learn how robust frameworks and high-quality data are essential for reliable AI outcomes, especially in sensitive sectors like healthcare and finance.
Developments have made cloud computing a cornerstone of modern technology, driving innovation and shaping the future.
What does your corporate strategy and culture have to do with your data and analytics strategy? Everything.
Our Data Strategy Group can help your business study the data of any problems that arise.