EBOOK:
Businesses are facing new challenges to meet the expectations of customers and employees. In this 14-page buyer's guide, Computer Weekly looks at the benefits of the experience economy, the customer service implications of always-on mobile users and how digital platforms can engage customers across all channels.
EGUIDE:
In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
WHITE PAPER:
Customers expect your operations to be instant, seamless and insightful so that each interaction is fast and effective. Access this fascinating white paper today to learn about expert solutions for improving business operations so as to effectively cater to customer interactions.
EGUIDE:
In the following e-guide, Matt Schulz reveals how design thinking improves workflow and promotes innovation in app development. Also learn from experts how in-app analytics increase the likelihood of success in the design thinking outcome.
EGUIDE:
This expert e-guide explores an integrated approach to master data management (MDM) that incorporates an enterprise data governance program. Inside, you'll find out how to optimize your data quality strategy and learn how to garner business support for your MDM initiative.
EGUIDE:
This e-guide offers expert advice for creating a successful omnichannel customer experience by utilizing a unified user interface (UI), service clouds, self-service tools, and more. You'll also learn how to implement a unified contact record for customer interactions so that you can create a consistent, satisfying experience for your customers.
EGUIDE:
This exclusive e-guide features advice from experts on how to take your contact center from good to great with the right metrics for success. You'll also learn how to make better use of the large amounts of social data that are entering CRM systems with the right analytics approach.
EBOOK:
Learn from experts how predictive analytics should be used by sales teams, and the importance of having a strong model. Also uncover real-world examples of analytics being used to create more customer-specific advertisements and hire more promising workers, and how predictive lead scoring can help sales and marketing teams work together better.
