"Logan: That's the way things are. The way things have always been."
In Redwood City this week, the answer I heard from Oracle was an emphatic yes. At Oracle's Industry Analyst World, the company stressed its cloud bonafides against Salesforce, IBM, and SAP with its new Customer Experience (CX) Suite. The CX Suite is a horizontal offering, assembled primarily from acquisitions, newly rechristened as Oracle Marketing (Eloqua), Oracle Commerce (ATG, Endeca), Oracle Sales (Oracle CRM On Demand), Oracle Service (RightNow), Oracle Social (Collective Intellect, Vitrue, Involver), and Oracle Content (Fatwire).
The Software as a Service (SaaS) suite promises to deliver a lower total cost of ownership, easier integration, and faster time to value for a business looking to streamline its enterprise software providers. While Oracle's approach is to lead with SaaS, it also promotes an Enhance, Augment, Migrate strategy, enabling existing customers to extend an on-premises deployment --- think Siebel Loyalty --- with one or more CX products, say Eloqua's email delivery capabilities.
You Can Outrun Your Past
So what does it mean for Eloqua? Marketers using or considering Eloqua should recognize that Oracle:
The deluge of customer data shows no signs of abating. The perpetually-connected customer leaves data footprints in every interaction with a brand. This presents tremendous opportunities for customer insights professionals and analytics practitioners tasked with analyzing this data, to not only get smarter about customers but ensure that the insights get appropriately used at the point of customer interaction.
When we asked customer analytics users about the challenges and drivers of customer analytics adoption, we found that data integration and data quality continue to inhibit better adoption of customer analytics while users still want to use analytics to improve the data-driven focus of the organization and drive satisfaction and customer retention.
Forrester’s Customer Analytics Playbook guides customer insights professionals, marketing scientists and customer analytics practitioners into this new reality of customer data and helps discover analytics opportunities, plan for greater sophistication, take steps towards building a customer analytics capability and continually monitor progress of analytics initiatives. It will include 12 chapters (and an executive overview) that cover different aspects of customer analytics.