by Andrew White | May 24, 2017 | Comments Off on Cool Vendors in Data and Analytics 2017
Data and analytics leaders struggle to leverage data to drive innovation and govern their information assets effectively. New approaches suggest disruptive efforts to drive both innovation and effective governance will change the economics and complexity of innovation.
Organizations with data science ambitions need to optimize scarce data science talent and engage innovative technologies and techniques. Four innovative vendors can help data and analytics leaders bring the full data science and machine-learning spectrum to their organizations.
The Cool Vendors in this note let business users find and explain insights automatically, build analytics models and uncover relationships in unstructured data. Data and analytics leaders modernizing BI and analytics should consider them to benefit from data science without data scientists.
Artificial intelligence core technologies are ready for experimentation. Now is the time for data and analytics leaders, who want to be in the vanguard of AI in their industries and domains, to begin AI initiatives, deliver immediate value from them and make bigger plans for analytics modernization.
Digital business is driving innovation in data management through effective access to and processing of data. Unified data access, multimodel DBMS approaches, metadata management techniques and real-time data integration top the list of innovations for CIOs and data and analytics leaders.
Read Complimentary Relevant Research
Data and Analytics Programs Primer for 2017
The convergence of data and analytics is driving business value and changing decision-making processes enterprisewide. Data and analytics...
View Relevant Webinars
The Chief Data Officer's Guide to Meaningful Business Metrics
Only 15% of data and analytics strategies have concrete measures of success. The rest mentions no business outcomes at all, or list qualitative...
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.