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New Data and Analytics Research: Data Mgt, Data Science, Analytics, and Self-Service Data Integration

by Andrew White  |  November 16, 2017  |  Comments Off on New Data and Analytics Research: Data Mgt, Data Science, Analytics, and Self-Service Data Integration

Adam Ronthal  and colleagues just published: Toolkit: RFP Template for Data Management Solutions for Analytics.

This request for proposal template gives data and analytics leaders a starting point to define requirements and evaluate vendors when selecting a data management solution for analytics, including data warehouse solutions.

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Jorgen Heizenberg just published the Market Guide for Data Science and Machine Learning Service Providers.

Data and analytics leaders looking for support for their data science and machine learning projects should use this research to identify and engage with candidate service providers to fill the analytics deficit and augment their existing data scientists with specific skills.

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Joao Tapadinhas and Shubhangi Vashisth just published the Toolkit: Gartner Analytics Atlas.

This Toolkit provides an analytics atlas that will help data and analytics leaders to understand and navigate the complexity of business analytics and data science technologies. This can further help synergize capabilities for different analytics initiatives within an organization.

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Joao Tapadinhas and Shubhangi Vashisth also just published: Toolkit: Gartner Analytics Evolution Framework.

This Toolkit will guide data and analytics leaders through the process of designing an evolution roadmap for business analytics and data science environments. It is based on the Gartner Analytics Evolution Framework that closely links data and analytics technologies to target business outcomes.

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Mei Selvage and Eric Thoo just published How to Drive Self-Service in Data Integration Strategies.

Self-service data integration increases integration speed and data value; however, it can also cause peril. Data and analytics leaders should socialize it based on personas, choose the optimal integration architectures, determine bimodal integration approaches and build the shared data access layer.

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Category: analytics  data-integration  data-management-for-analytics  data-science  machine-learning  

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a Distinguished Analyst and VP. His roles include Chief of Research and Content Lead for Data and Analytics. His main research focus is data and analytics strategy, platforms, and governance. Read Full Bio




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