Strategies for Data Exploration and Analysis in the Age of Big Data Analytics
According to multiple TDWI surveys, the vast majority of IT users feel that big data is an opportunity, because of the new and more granular insights it provides about customers, operations, partners, and many other business entities and processes. Likewise, most users now see advanced forms of analytics as the primary path to reaping insights from big data, whether big data comes from traditional enterprise applications or new sources, such as Web applications, application logs, sensors, machines, and social media. For these reasons, TDWI sees many user organizations diving deeper into big data analytics.
This webinar will provide an overview of new technologies and user practices that lead to success with all big data and analytic applications, with a focus on multi-tool and multi-data-platform approaches.
You will learn:
Why big data analytics is becoming increasingly important for many businesses
Leading applications for big data analytics, such as discovering the root cause of the latest customer churn, the hidden costs that are eroding the bottom line, new customer segments, or operational efficiencies
Trends in designing data structures and integrating multiple tools and data platforms in a unified data architecture
Emerging practices with advanced analytics, data exploration and discovery, and managing highly diverse big data