1-800-BUY-MYHP

Vertica Big Data Conference 2014
Boston, August 11-14, 2014

Business Track Sessions

Business Track Sessions

Tuesday, August 12 – Wednesday, August 13


 

Winning the Big Data Game: An interactive panel of online gaming analytics experts

Have you’ve played Clash of Clans, Farmville, Wheel of Fortune, Runescape, or other smash-hit online games? If so, chances are your actions are analyzed to better understand and appeal to your online behavior. Specifically, capturing clickstream data, understanding relationships, and ultimately monetizing this behavior in near real time is the difference between millions of downloads or the gaming graveyard. Join this interactive panel discussion to learn how leading online gaming companies are outperforming their competition by detecting and mining user behavior and sentiment for effective game development; evaluating and running profitable performance marketing, enabling predictive modeling for powerful business outcomes, and more.

Date: Tuesday, August 12
Time: 9:40am – 10:20am
Speakers
Yuko Yamazaki – General Manager of Analytics - Zynga
Erdem Inan – Head of Marketing & Business Intelligence - Peak Games
Portman Wills - Chief Datamonger - GSN Games
Chris Wright - CTO – deltaDNA


 

Predicting and Preventing Churn for Increased Revenue and Satisfaction

What if you could identify segments of “flight-risk” customers, provide them with personalized offers or services that ultimately reduce churn, increase revenues, and improve Net Promoter Survey scores? Organizations from across every industry, particularly those with high churn rates like telecommunications, have been investing in initiatives to do just that with marginal success, yet no silver bullets. The maturity of predictive modeling technologies paired with blazing-fast analytics has given organizations new hope in their quest for predicting and preventing churn. Join us for this popular session to learn best practices, lessons learned, and the technologies and approaches that you can apply to your initiative.

Date: Tuesday, August 12
Time: 10:30am – 11:10am
Speaker
Chris ‘CB’ Bohn - Senior Database Engineer - Etsy


 

Top 5 ways to make Big Data Analytics pervasive at your organization

You have evaluated and chosen a Big Data analytics platform, determined how Hadoop fits into the picture as your Big Data Lake. You even have the data scientists and analysts on staff to derive business insight from those massive volumes of data. However, even with the right technology and development resources, you’re unsure where to start in your journey in making analytics pervasive across your organization (and potentially even for your external customers). If you’re struggling to get your analytics initiative off the ground or hit a bump in the road in demonstrating business value, then join this session and learn how Larry Lancaster has implemented successful initiatives at four major technology companies, including in his current role at Nimble Storage. You’ll learn how to navigate common challenges and set your analytics initiative on the path for long-term success.

Date: Tuesday, August 12
Time: 1:40pm – 2:20pm
Speaker
Larry Lancaster – Chief Data Scientist - Nimble Storage


 

From Cost Center to Revenue Accelerator: Profiting from Big Data Analytics

Building the business case to secure funding for the technology, staff, and resources for your Big Data initiative can be challenging enough, particularly since you’re taking a leap of faith that there is real business value just waiting to be unlocked from that data. Even if you secure the funding, run your initial analytical queries, and use that insight to prove ways that your organization can reduce costs and improve customer satisfaction, there’s pressure to do more – revenue generation. For some progressive organizations, Big Data analytics is the opportunity to package up new value-added services that you can actually monetize. For others, it’s simply a matter of more progressive A/B testing to increase product sales (directly related to those near-real-time analytics). So, where do you start? Join this session to learn how your organization can transform from a cost center to a profit center, supported by actual use cases of revenue generation.

Date: Tuesday, August 12
Time: 2:30pm – 3:10pm
Speakers
Peter Fishman – Director of Analytics – Yammer
Craig Snodgrass – Chief Strategy Officer - Cardlytics
Shreyas Shrivastava - Director at Vichara Technologies
Chris ‘CB’ Bohn - Senior Database Engineer - Etsy


 

Modernizing the Enterprise Data Warehouse for Bottom-Line Business Benefits

Most organizations have made major investments in their enterprise data warehouses. However, squeezing out marginal performance gains requires constant spending on more hardware and services. Increasingly, organizations are supplementing or replacing their enterprise data warehouses with the HP Vertica Analytics Platform to dramatically reduce license and hardware costs, while increasing performance, team productivity, and organizational value. Join this session to learn how leading companies are modernizing their enterprise data warehouses to derive insight from Big Data and gain competitive advantage.

Date: Wednesday, August 13
Time: 9:40am – 10:20am
Speaker
Jimmy Mohsin – Principal – Norjimm LLC


 

Big Data for the better good: Saving lives, the planet and more

Organizations from nearly every industry are abuzz with how Big Data analytics has enabled them to meet their top-line business objectives: save money, make money, and increase customer satisfaction. But can HP Vertica actually help us make a safer world, a greener planet, and, without overstatement, actually save lives? Join our panel of leading analytics experts and philanthropists as they share how analyzing various forms of data – from sensor data in the rain forests of Africa to medical treatment data in your local hospital – can contribute to an overall better world.

Date: Wednesday, August 13
Time: 10:30am – 11:10am
Speakers
Eric Fegraus – Director of Information Systems – Conservation International


 

Operationalizing Big Data

From a strategic point of view, companies, particularly in telecommunications, are leveraging Big Data to reconnect with customers to obtain a full understanding of their needs, identify business trends and opportunities, detect fraud, and comply with regulatory requirements. Join this session to learn and share how Big Data analytics has improved aspects of operations to enable new business models, improve customer experience, reduce churn, and improve operational efficiencies.

Date: Wednesday, August 13
Time: 1:40pm – 2:20pm
Speaker
Arno Kolster – Senior MTS, Architect - PayPal/eBay


 

Taming Big Data from the Internet of Things

Across a wide range of industries, organizations are running analytics on sensor data to enable new value-added products, services, and business processes. From fleet management to usage-based insurance to mobile health and more, a growing list of use cases are emerging seemingly each day to create new business opportunities based on the Internet of Things. For original equipment manufacturers, sensor data analytics are critical to proactively monitor the health and performance of their products and address service and maintenance issues before they lead to product downtime. That’s critical for manufacturers that differentiate competitively on service as machines become commoditized. Join us for this session to learn how a leading equipment manufacturer analyzes sensor data with HP Vertica via the cloud to reduce downtime and meet to stringent service level agreements (SLAs) that result in increased market share.

Date: Wednesday, August 13
Time: 2:30pm – 3:10pm
Speakers
Barry Ralston – Assistant Vice President, Data Management - Infinity
Kevin Holbrook – Director of Advanced Development - Axeda
Martin Arlitt - Senior Research Scientist – HP Labs
Roberto Aiello - Technology Executive - Itron

*Track session topics are subject to change.