Wednesday, August 24th, 2016

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With terms like deep learning and artificial intelligence, predictive analytics is immeasurable to many of us. Yet, predictive tools are ubiquitous in today’s data-centric marketplace. What was once shrouded in mystery in the domain of data scientists, it’s now emerging as a way to prescribe business outcomes.

Key Takeaways:
• Recognizing how these tools and statistical models work to drive the customer journey and elevate their experience
• Best case examples of using Predictive intelligence in the entertainment industry
• How investing in these tools can enhance significant return on investment

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In today’s digital world, advanced analytics technologies are shaping the next generation of customer insights. Technologies and frameworks in the areas of anomaly detection and cognitive intelligence are allowing us to get more granular with data, providing insights into behavior, buying patterns, and even ways to generate customer delight. Through Happiest Minds, a digital transformation solution provider, this session will uncover innovative trends forever changing the way we understand our customers.

Key Takeaways:

• Leveraging your company data with a host of next generation solutions

• Using Digitally Assisted Services Platform (DASP), a cognitive intelligence solution to boost sales and services

• Implementing a domain agnostic solution to check data anomalies

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Savvy leaders are aware that a more agile big data culture begins at the C-Suite, which in turn informs business decisions and ignites innovation. What’s more, an effective, high-functioning data culture requires an exemplary level of employee engagement. Through a strategy, formulation, and execution framework, uncover the procedures required to promote a more robust data culture.

Key Takeaways:
• Strategy: Devising an analytical methodology
• Formulation: Identify the barriers to implementation and internal change agents driving the cultural shift
• Execution: Investing in talent development and demonstrating value to business leaders and stakeholders

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Have you ever wondered about if the data and information you accumulate daily have the correct oversight and governance? Is there a difference between managing and governing data? This session cover the fundamentals of creating an internal Center of Excellence (CoE),and defining a Data Governance Office with its inherent roles and responsibilities.

Key Takeaways:
• Aligning a data governance framework to your company’s mission and goals to create an organizational advantage
• Adopting a “new” way of thinking about how information is governed versus managed within your organization.
• Integrating information policy, strategy, taxonomy, compliance, and quality into frameworks supporting your company’s goals.

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The roadmap to customer-centricity demands organizations to prioritize analytics that drive business growth while improving the customer experience across interactive touch-points. Through leveraging text, social, and mobile analytics, organizations can effectively yield customer insights to build customer engagement and inform new products and brands. Nonetheless, being a great listener of the customer amid all the noise still serves as a major business challenge. This session will go over the techniques and benefits to effectively deploy the Voice of Customer into action.

Key Takeaways:
• Tools and techniques infuse a customer-focused philosophy
• Mining VoC Data to improve the overall customer satisfaction
• Leveraging Voc to influence product innovation

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Data which can be used for customer insights comes from a variety of sources, is often cluttered with operational system noise, and can be of dubious quality. Enabling business analysts and data scientists with a single source from which to derive the truth has enormous benefits. The trick is make the data 1) analyst ready, 2) complete at different levels of abstraction, and 3) model customer decision points.

Key Takeaways:
• Eliminate the noise from operational data
• Aggregating data to multiple levels of abstraction works for product and subscription businesses
• Making sense of unstructured data: Front line business analysts can answer their own ad hoc questions when given carefully structured data

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