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Thriving With Big Data Part 3 Make Customers Happy

Thrive With Big Data Webinar Series - Part 3: Make Customers Happy

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Big Data can help increase customer satisfaction – which can reduce churn and increase revenue – by opening up access to information and by empowering customers. A top 5 insurance company improved customer service by generating a 360-degree view of over 100 million customers from 70 legacy systems. A leading newspaper increased user engagement and ad revenue by serving custom content and interactive features to over 20 million readers. Considerations for Decision Makers: In this webinar, you will learn about the importance of Developer Appeal as well as applicability of Big Data solutions – specifically, General Purpose vs. Niche solutions – in the technology selection process for these projects.

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Page 1: Thrive With Big Data Webinar Series - Part 3: Make Customers Happy

Thriving With Big DataPart 3

Make Customers Happy

Page 2: Thrive With Big Data Webinar Series - Part 3: Make Customers Happy

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• Thriving With Big Data

• 5 Parts, ~15 min each– Build Apps You Couldn’t Build Before (July 16th)

– Adapt in a Competitive Market (July 23rd)

– Make Customers Happy (July 30th)

– Save Money (August 6th)

– Considerations for Decision Makers (August 13th)

• Fun, lively discussion + QA Session

• Customer examples + considerations

About This Series

Page 3: Thrive With Big Data Webinar Series - Part 3: Make Customers Happy

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• Considerations for Adapting with Big Data– Agility: The curvy line to success

– Community: Benefit from the experience of others

• Customer Stories– ADP responds to customers with a personal mobile

experience

– Major ISV expands with cloud and collaboration for desktop

– Leading telco goes head-to-head with over-the-top media players

Last Time (Part 2): Adapt in a Competitive Market

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• Considerations for Making Customers Happy

• Customer Stories

• Takeaways

Part 2: Make Customers Happy

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Consideration – Developer Appeal

• Does anyone want to use it?

• Attract the top minds

• Improve developer productivity

• Reduce cost and time to market

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Consideration – General Purpose vs. Niche

• Standardize technology

• Reduce complexity

• Amortize investment

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• 360-degree customer view

• 100M+ customers

• 70+ source systems

• 3 months

• 1 app

• Many more uses to come…

Example: MetLife

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Example: The Guardian

• Right content to users

• Real-time targeting – articles, ads, contests, etc.

• Increase user engagement, time spent on site

• (Increase revenue, too )

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• Developer Appeal– Attract the best

• General Purpose vs. Niche– Amortize the investment

• Make Customers Happy– Data democratization across the org.

– Up-to-date information

– Targeted, personalized content

Takeaways

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• Tuesday, August 6th 10:00AM PDT / 1:00PM EDT / 5:00PM UTC

• Considerations for Big Data and TCO– Software Licensing Models

• Customer Stories– A Tier 1 investment bank is saves $40M over 5 years

– Telefonica saves 50% on dev. costs, 67% on storage and gets to market 75% faster

– A global company in the travel industry reduces infrastructure costs by orders of magnitude

Part 4: Save Money

Page 11: Thrive With Big Data Webinar Series - Part 3: Make Customers Happy