Start Date:11/1/2016
Start Time:10:00 AM PDT
Duration:75 minutes
Abstract:
Data-driven organizations champion many of the core initiatives in data management: big data implementations, cloud deployment services, governance and security, enterprise standards, and advanced analytics. These organizations are disrupting business models and markets by collecting information from within and outside the organizations so that new insights could be garnered to ultimately achieve a decisive competitive advantage. This drives the requirement that organizations move away from their traditional reliance on structured data sources to also include other unstructured (and to some extent dirtier) and important data such as ones from social media, text, weblogs, call centers, images, and more. Data-driven cultures also push for faster time to implementation – a core component associated with cloud (public, private, hybrid) and other alternate deployments besides in house appliance installations. This spurs growth and exploration in the area of advanced analytics to not only look back from a historical perspective, but to also enable robust predictive models that are flexible enough to respond quickly to the ever changing nature of the business climate in which organizations operate.
Attendees of this webinar will learn about:
- Worldwide results of EMA’s new 2016 end-user research on big data implementations
- What do data-driven cultures look like? How do they operate?
- How data-driven organizations drive the need for big data implementations
- Impact of cloud-based and other options (e.g., on Hadoop) advanced analytics implementation deployments
- A survey of the ways in which big data organizations are implementing advanced analytics
SPEAKERS
Managing Research Director
Enterprise Management
John has nearly 20 years of experience in areas related to business analytics and business intelligence in professional services, sales consulting, product management, industry analysis and research. He has helped organizations to solve their analytics problems whether they related to operational platforms such as customer care or billing; applied analytical applications, such as revenue assurance or fraud management John is a frequent contributor to industry publications including Search Business Analytics, Inside Analysis and Information Management. He speaks internationally on the topics of telecom analytics, data virtualization and Big Data. John is also considered one of the Top 100 Big Data Influencers in 2012 and 2013.
Senior Product Manager
Teradata
Results-driven executive offering a strong balance between business savvy and technical capabilities. Possesses a proven track record of over 20 years of experience devising advanced analytics, product management, product marketing and sales initiatives that drives the performance and profitability of organizations across the Big Data Applications.
Marketing Manager
Teradata
Results-driven professional with more than 9 years of experience and expertise in B2B marketing management, and Masters in Communication Management from USC with specialization in demand generation for data analytics, and driving marketing operational efficiencies across Teradata.
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