Few would argue that the customer is king. Lately, though, customers have become more powerful than ever as providers focus on market share to ride out the recession. In the recovery period, they'll be looking to average revenue per user (ARPU) and lifetime value gains to achieve better-than-average market growth. Throughout this transition, providers are making strategic investments to improve the customer experience and therefore better position themselves to achieve short- and long-term market, financial, and performance gains.
To support these goals, providers have focused on two areas of investment:
- business intelligence software to provide stakeholders and executives analyses, dashboards, and reports that show the baseline realities and subsequent progress on customer key performance indicators (KPIs); and
- predictive analytics that use complex algorithms to predict customer behavior to help guide marketing and other programs.
Both of these investments have proven their value over time and can provide a meaningful analytic backbone.
However, these capabilities miss a critical factor in what shapes the customer experience and actions in the first place. Organizations must first understand how customers transact and traverse across the large, complex order-to-cash process, from marketing programs through to billing, customer care and field service. This is where the customer lives, and where the strength -- or lack of strength -- of the provider's entire order-to-cash process can either enhance or erode the customer experience.
Process analytics, in this case customer-based process analytics, deliver transaction-by-transaction, root-cause based analytics to determine if the sub-processes and systems that comprise the order-to-cash process are operating optimally and whether they are supporting or inhibiting the over-arching customer experience goals. They can also provide a more complete view of the implications and value of upstream marketing programs. More specifically, customer-based process analytics focus on three core sets of issues:
- Errors, delays or confusion in the order-to-cash process (e.g., order-to-activation delays, billing errors, complex or misaligned interactive voice response (IVR), or unclear marketing programs) that can frustrate customers and cause a negative impact to customer experience.
- Avoidable calls to the contact center and sub-optimal call handling processes driven from CSR performance, outsourcer performance, or complex or misaligned IVR logic that can unnecessarily drive up costs while further frustrating customers.
- Suboptimal revenue management in terms of errors that delay revenue and/or collections, call handling issues prompting excessive customer credits, and marketing programs that negatively impact margins by driving up call volumes without the associated ARPU gains.
Process analytics enables providers to acquire and analyze data and the associated process logic in the relevant order-to-cash systems and sources. It also establishes and analyzes causal relationships by understanding how the customer transacts and traverses across the process, and identifies atomic-level defects or find new relationships among the data to enable providers to attack root cause issues that impact the customer experience.
For example, providers investigating customer complaints will likely encounter a practical reality: the complaint data is only as good as the customer service representative inputting the data and often is different than the operational reality. To understand and address complaints, the actual operational data is the only reliable "system" of record and is uniquely able to show what is actually happening to the customer (e.g., errors in the order, system-driven delays to activation, provisioning errors, multiple on-site visits, etc). Without process analytics, the provider can determine that something is happening, but not exactly what, why, or how to resolve it.
One example clearly showcases the power and focus of customer-based process analytics. As part of a critical product launch that was central to their Triple Play strategy, a leading North American telecommunications provider was experiencing a significantly faster rate of growth in truck rolls and on-site times than actual customer adds. This was creating immediate risk to customer acquisition and churn in their business, as well as risking the full portfolio of services offered to those customers. It was also significantly driving up call volumes and overall cost.
The provider attempted unsuccessfully, using existing tools and manual efforts, to correlate and analyze the range of data and rules that resided in order management, billing, CRM, dispatch, and trouble management systems, among others. The operational complexity outstripped the capabilities of the tools, which could not help identify root cause or enable a continuous improvement program. The customer then applied customer-based process analytics and was able to rapidly identify and correct the systemic and individual issues related to products, delivery models, technical skills, and customer segments that were causing excessive truck rolls, lengthy time on-site and diminished customer satisfaction.
Winning the customer battle secures revenue in today's economic climate and is a central lever to driving higher-than-market growth as economies recover. Providers can quickly and cost-effectively add process analytics to identify and resolve defects before they erode the customer experience and impact market share or customer lifetime value. More to the point, the absence of these types of analytics leaves providers unnecessarily vulnerable. Process analytics leverages and complements existing customer service and analytic investments and provides significant operational visibility, customer value, and financial return.
About the Author
Victor Milligan (firstname.lastname@example.org) is chief strategy officer at Martin Dawes Analytics, a leading global provider of process analytics software. For more information, visit www.mda-data.com.
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