Companies are tiring of CRM projects, which are failing at a rate of 70 percent, but there is hope. Jill DychŽ, author of The CRM Handbook: A Business Guide to Customer Relationship Management (Addison-Wesley, 2001), says CRM would work better if companies did a better job defining specific needs and customizing the technology to fit them. She spoke with CIO about CRM’s problems and potential. (For the full text of this interview, go to www.cio.com/printlinks.) CIO: Are we about to see a CRM backlash? DychŽ: It’s already started. Companies are canceling CRM projects because budgets have gotten way out of whack, and they’re renaming projects, shying away from the CRM acronym. They call it their corporate customer loyalty program, customer reengineering program, customer care initiative or even just campaign management. As these programs succeed, we’ll see a readoption of the CRM term and an understanding of what it really means?a combination of process refinement, new information and organizational change. What mistakes do companies make with CRM implementations? The biggest mistake is to let technology features drive CRM functionality. Instead of defining the business problem up front then locating the technology to solve the problem, these companies are doing it backward. Another problem is thinking that because you have a customer database, you are doing CRM. Data warehousing and decision support are not equivalent to customer relationship management. Likewise, just reorganizing around a new customer focus doesn’t mean you’re doing CRM. CRM means changing your focus and the business processes to support it, and applying technologies to automate those new processes. By nature, CRM is customized. There’s no such thing as off-the-shelf CRM. That’s a controversial statement, but it’s true. If companies already have off-the-shelf CRM, how can they make it work? Back up and redefine the business problems, the ideal business processes and information to solve that problem, then automate the tool around the information and the business processes. And what if a company is just starting a CRM project? Define the problem, understand what’s going to solve it and understand the functionality of the solution. Once you understand a requirement, you can find technologies to support that particular functionality. That’s the right way to do it: the requirement, the functionality, then the tool. Related content brandpost Sponsored by Palo Alto Networks x Accenture Making sense of zero trust - why a managed SASE solution is the ideal option for enterprises Security leaders are turning to SASE as their preferred network security solution amid a new era of cloud-powered businesses working from anywhere. By CIO Contributor Nov 28, 2023 4 mins Network Security feature 8 tips for unleashing the power of unstructured data For most organizations, data in the form of text, video, audio, and other formats is plentiful but remains untapped. Here’s how to unlock business value from this overlooked data trove. By Bob Violino Nov 28, 2023 10 mins Data Mining Data Science Data Management opinion What you don’t know about data management could kill your business Organizations without a solid data management strategy are on a collision course with catastrophe. Unfortunately, that’s most businesses, judging by the fundamental disconnect on the importance of strong data foundations. By Thornton May Nov 28, 2023 6 mins Data Architecture Data Governance Master Data Management brandpost Sponsored by Dell Technologies and Intel® Gen AI without the risks Demystifying generative AI: Practical tips for cost-effective deployment in your organization. By Andy Morris, Enterprise AI Strategy Lead at Intel Nov 27, 2023 6 mins Artificial Intelligence Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe