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• Campaign objectives

• Target audience

• Key product messaging , copy blocks

• Event planning and execution

• Event promotion

• Event execution : 30 , 60 , 90-day timeline

• Additional resource

• Event overview

It ’ s way too easy to drown in data . Yes , your business generates and collects valuable information that can give you an edge over the competition , but wading through the data deluge – making sense of it all – takes time and money and often comes with security risks and delays . What ’ s needed is a straight-forward way of efficiently storing and operationalizing your data , a process that results in faster querying , elastic scaling and real-time analytics that can inform decisions immediately .

Execute this event as we explore how the next generation of IBM Netezza Performance Server enables organizations to unify their analytical data , powering real-time decision making , data governance and security , and analytics accessible to everyone across cloud , hybrid and on-premises deployments . You will learn how Netezza helps you predict data warehousing costs based on performance needs , securely collaborate across your organization , automate maintenance and operations , and power analytics at any scale .

The objective of this campaign is to get the audience to :

• Discover

• Learn

• Try

• Buy

Discover means introducing your audience to your solution .

Learn means you ’ re providing deeper information , so your audience connects their needs with the benefits of your solution .

Try means you are giving your audience the opportunity to experience the advantages of your solution .

Buy means you are providing the mechanisms to purchase or engage with your solution ; enabling the transaction , including pricing information , sales incentives or discounts .

Product overview

This product or solution does …

With IBM Netezza Performance Server , we make analytics accessible across your organization , with a governed , trustworthy and secure source for your data designed to unify your analytical data in the cloud , hybrid , and on-premises . p

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