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Addressing the Need for Personalization in the Financial Services Industry

Perficient

In the financial services industry, security, stability, and protection are foundational brand values from which to deliver customer experiences. From these key values, customer journeys and the experiences they deliver bring these brand values to life for the consumer. Elements of Delivering a Personalized Experience.

Industry 294
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Revel Systems And Punchh Team Up To Enhance iPad POS

PYMNTS

6) it is partnering with Punchh , a provider of mobile engagement, CRM and marketing automation technologies for restaurant chains. According to the company, it is partnering with Punchh because mobile engagement is becoming crucial for companies to enhance the customer experience via personalized features.

System 100
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Insurance Microservices Provide Needed Agility Today

FICO

It flies in the face of more traditional, monolithic insurance applications which were developed, deployed and are maintained as one giant operating system. They are at odds with the insurance industry's reputation for being static and sluggish when it comes to responding to customer demand. Fractured Customer Experiences Can Be Fixed.

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Finding Business Success Through Customer Engagement

FICO

This is no small task and is a real dilemma when you have thousands or perhaps millions of customers. To solve this, Greenberg makes a strong argument for predictive analytics, pointing out that while they are not totally foolproof, they do “a great job of using history to predict future patterns.”.

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Finding Business Success Through Customer Engagement

FICO

This is no small task and is a real dilemma when you have thousands or perhaps millions of customers. To solve this, Greenberg makes a strong argument for predictive analytics, pointing out that while they are not totally foolproof, they do “a great job of using history to predict future patterns.”.

article thumbnail

Finding Business Success Through Customer Engagement

FICO

This is no small task and is a real dilemma when you have thousands or perhaps millions of customers. To solve this, Greenberg makes a strong argument for predictive analytics, pointing out that while they are not totally foolproof, they do “a great job of using history to predict future patterns.”.