Global Big Data Conference's vendor agnostic Global Predictive Analytics Conference is held on March 27th, March 28th & March 29th, 2017 on all industry verticals. The Conference allows practitioners to discuss data management through effective use of data analytics.
Large amount of data created by various mobile platforms, social media interactions, ecommerce transactions, and IoT provide an opportunity for businesses to effectively tailor their services by effective use of data analytics. Proper use of data analytics can be a major competitive advantage for any business considering vast amount of data being generated.
Data analytics allow businesses to effectively mine historical data and predict future consumer behavior. This type of data driven approach is critical for any business to successfully launch its product and position it in the right market.
Over 50 leading experts in Data Science, Business Intelligence, and Predictive Analytics present at our conferences regularly. Please send an email to firstname.lastname@example.org for speaking engagements.
You Get To Meet
You get to meet technical experts, Senior and C-level executives from leading innovators in the predictive analytics space (Executives from startups to large corporations will be at our conference.)
Who Should Attend
CEO, SVP/VP, C-Level, Director, Global Head, Manager, Decision-makers, Business Executives, Analysts, Project managers, Analytics managers, Data Scientist, Statistian, Sales, Marketing, human resources, Engineers, Developers, Architects, Networking specialists, Students, Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff, Delivery Manager and other line-of-business executives
No refunds will be given for cancellations
Although Online Order using credit card is preferable, we accept several other types of payment: Wire Transfer, checks and Invoices / Purchase orders.
If you have any questions concerning Predictive Analytics Conference, please do not hesitate to contact email@example.com or Call: 408-400-3769
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