Business Intelligence: 3 Reasons Why Traditional BI Failed
Business intelligence solutions often fall short and fail due to inefficiency, hefty costs, and an overall lack of value and insightful data production.
Charles Caldwell is the VP of Product Management at Logi Analytics, where he developed the Logi Solutions Engineering team from scratch to support OEM, SMB, Enterprise, and Channel Partner sales in North America and Europe.
Business intelligence solutions often fall short and fail due to inefficiency, hefty costs, and an overall lack of value and insightful data production.
Follow these best practices for data lake management to ensure your organization can make the most of your investment.
The need for automated data pipelines is clear. What role will data scientists play in bringing them about?
Developing an enterprise-ready application that is based on machine learning requires multiple types of developers.
Cloud optimization could offer the best method for reducing costs according to a new report.