| ENABLING A CULTURE OF SELF-SERVICE ANALYTICS | | | | | | As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using ... | | |
| APPLYING HYBRID OPERATIONAL/ANALYTIC PROCESSING (HOAP) IN THE REAL WORLD | | | | | | The need to monetize data has become a strategic imperative for businesses undergoing digital transformation, whether it’s using data to improve customer engagement, identify compelling opportunities or deliver actionable insight. However, as businesses look to expand revenue-generating, customer-fa... | | |
| GARTNER DATA & ANALYTICS SUMMIT | | | | | | Leading organizations in every industry are wielding data and analytics as competitive weapons, operational accelerants and innovation catalysts. New business models and sweeping technology change, including AI, are driving the need for a data and analytics-centric culture. Trust and ethics must be ... | | |
| THE NINTH INTERNATIONAL CONFERENCE ON DATA ANALYTICS
DATA ANALYTICS 2020 | | | | | | Tools, frameworks and mechanisms for data analytics; Open API for data analytics; In-database analytics; Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.); Analytics visualization; Multi-modal support for data analytics; Google/FaceBook/Twitter/etc. analytics;... | | |