Gaining new insights, taking action faster and creating new opportunities with analytics on big data is becoming a game changer for a growing number of organizations already competing on information and analytics. IBM has worked with hundreds of clients to identify the five highest impact strategies for analytics on big data that work across industries and the pitfalls to avoid. Learn about the best practices and technology innovations that can help you grow your existing analytic and information infrastructure investments for market advantage.

At the IBM Smarter Analytics Leadership Summit you will:

• Gain invaluable insights and best practices from IBM thought leaders for successful big data analytics investments that work.
• Hear from leading organizations how they got started with big data analytics, their game changing results and their advise for embarking on your journey.
• Reserve time to speak one-on-one with a Big Data Expert to discuss strategies that could turn your big data into better business outcomes.

In the age of the empowered consumer, how can you maximize the value of your interactions with your customers? Leading organizations are tapping into the wealth of insights hidden in their customer information to deliver the most appropriate action at the right time across channels.

Join industry leaders and IBM experts at the Smarter Analytics Leadership Summit on February 21, 2013 in New York City. At this summit, you will learn how customer analytics can help your company predict customer behavior and determine the next best action to optimize customer interactions in real time to enhance loyalty and satisfaction, drive acquisition, and increase retention.

At the IBM Smarter Analytics Leadership Summit you will:

• Learn how to leverage big data to uncover customer sentiment so you can improve service and satisfaction with every interaction.
• Hear examples of how leading marketers are using analytics to provide a consistent, cohesive customer experience across multiple channels.
• Discover where to deploy next best action strategies in your organization to drive maximum return and deliver fast results.

As banks around the world struggle with increased competition and regulation, firms are looking to optimize capital deployment across business units to increase profits and improve return on capital. 2013 will be an especially challenging time as regulators around the world demand that banks hold greater and higher quality capital to fund their businesses and implementation timelines for Basel III and enforcement of regional legislation like the Dodd-Frank Act and EMIR (European Market Infrastructure Regulation) are imminent.

At the IBM Smarter Analytics Leadership Summit you will:

• Learn how banks are improving profitability and return on capital through better capital allocation across businesses and more capital-efficient operational execution.
• Hear from leading organizations on how to take a coordinated, enterprise approach to managing risk and optimizing capital.
• Participate in an interactive discussion with your peers about proven practices on how to leverage existing risk infrastructure investments and cost effectively implement new risk projects.
• Learn how IBM is engaging with our clients to improve profitability, address strategic optimization of capital, liquidity and risk and enable risk-informed operational decision-making.

With the continued soft market conditions and customer loyalty at an all time low, insurers are realizing that claims processing can be a key competitive differentiator. At the same time, insurance companies are no longer prepared to accept fraud as a cost of doing business. Leading insurance companies are applying analytics across the claims lifecycle to improve processing speed and accuracy - driving better decisions about resource allocation and reducing the cost of fraud.

In this interactive session, we will walk through three claims scenarios and see how analytics can be applied to lower claims leakage, reduce loss adjustment expenses and improve recoveries.

At the IBM Smarter Analytics Leadership Summit you will:

• Find out how one insurer achieved 400% ROI in 3 months with a smarter claims solution.
• Learn how to create a concrete, practical business case for claims analytics and walk away with materials to highlight to your executive team about:
  • The direct and indirect benefits of a smarter claims process
  • How claims analytics can predict fraud and reduce losses
  • Key value drivers for analytics projects
  • And how to quantify the expected return on your investment

Rather than rely on a reactive approach that waits for failure or relies solely on preventative maintenance schedules, predictive maintenance enables proactive monitoring of products, production equipment, and processes to identify potential issues and take corrective action before they fail. This transforms maintenance from a tactical production line repair activity to part of strategic predictive asset monitoring & optimization program. Whether it‘s by monitoring production line continuity, driving stellar first pass quality results, maximizing uptime of field equipment, or analyzing warranty and returns data, the use of analytics for predictive maintenance enables break through financial and operational improvements.

At the IBM Smarter Analytics Leadership Summit you will:

• Hear how companies like Daimler Chrysler, BMW, Caterpillar, Coca Cola and GM have achieved dramatic results including:
  • Reduced defects by 50%
  • Reduced scrap by 80%, and warranty costs by 5%
  • Improved first pass quality by 2-3% resulting in a $2 million dollar savings per paint shop
• Gain actionable insights and benefits including:
  • How to make predictive asset monitoring & optimization a strategic element of a continuous improvement and cost reduction campaign
  • Learning how leading organizations have implemented high ROI predictive maintenance programs
  • How to justify and prove return on predictive asset monitoring & optimization programs in highly cost-conscious environments
  • Learning how Predictive Maintenance complements investment in Enterprise Asset Management and ERP applications