Build a lean analytics strategy that empowers project managers to optimize their development lifecycle by focusing attention only where needed. Doing so gives product teams the opportunity to make real-time decisions about feature implementation.
Explore the advanced analytics platform, Part 4: Analyze location data to determine movement patterns using a mobility profile pattern
Create mobility profile patterns by analyzing location data, which is captured across time and space for an entity, to determine movement patterns. A use case that involves location data from mobile devices illustrates the concepts.
IBM Business analytics proven practices: Revival procedure for predictive maintenance and quality solution
Get the IBM Predictive Maintenance and Quality environment back to the right state using the detailed steps in this article. Each section describes the process for starting each node to retain its integrity.
Get updated information, additional detail, and troubleshooting techniques for issues regarding images not showing up in supported report output formats.
With larger and larger amounts of data being generated both privately in business and publicly over the web, data mining is becoming increasingly more interesting and useful. Learn how fuzzy set theory is better suited to handle some forms of uncertainty and vagueness.
Business analytics capabilities
Provide line-of-business managers with actionable insights through packaged analysis and reporting solutions
Harness the data explosion, meet needs for flexible business intelligence deployment options, and satisfy user expectations.
Empower front line workers and systems to get the most out of every customer interaction and improve outcomes.
Guide management strategy with timely, reliable insights, scenario modeling, and transparent and timely reporting.
Discover subtle patterns and associations and develop and deploy predictive models to optimize decision-making.
Make risk-aware decisions and meet regulatory requirements with smarter risk management programs and methodologies.
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IBM experts explain various analytical methods, such as data visualization, OLAP, descriptive and comparative statistics, data mining, time series analysis, social analytics, and more.