The CIO at ING Insurance in Japan explains how he provided a new vision and framework for improving the reputation and effectiveness of the IT department When I joined ING in Japan, I had been recruited as a turnaround agentbecause I had a track record in large technology transformations. The morale of the IT organization was at an all-time low, as was business confidence in IT.My vision was to move the IT organization beyond the role of modifying and enhancing what was already there to become an effective partner with the business. I immediately engaged the IT department, meeting with every member to get a sense of where the organization was and how ready it was for a transformation. I also talked to my business peers to understand their agendas, their perception of IT and what they were expecting from the department.As is typical of the siloed business culture in Japan, technology was scattered throughout the organization. Application delivery and infrastructure were almost like two separate IT departments. There was some governance at a high level, but it was not consistently applied. 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 My top priority was establishing a new IT operating model that would enable us to continue delivering what we need today while also building the organization we needed to be tomorrow. This meant moving to a more service-oriented delivery model that would help us align with where the business wanted to go. To do this, we needed to clarify the key roles and responsibilities within IT, identify our core and non-core capabilities, and develop a vendor-management strategy. ING had performed a lot of its infrastructure work in-house and outsourced the requirements-management and business-analyst functions, but we have taken steps to reverse that.Our new operating model went into effect in June, and we’re using it for all our new application-development requests and projects. As we bring business partners to the table, we’re starting to see how the communication has changed. After our monthly forum with key division managers, our head of sales said everyone was surprised–the only answer they ever got from the old IT organization was, “No, we can’t do it,” and now we’re saying, “No problem.” Another issue with insurance in Japan is the emphasis on in-house-developed, customized software. With shrinking profits and high costs, we need to look at packaged solutions to become more efficient. We apply the 80-20 rule, where we assume that 80 percent of what we do is standard and identify the 20 percent that requires customization. This way, the business doesn’t feel it is being force-fed a solution that doesn’t fit its needs, and we’ve been able to improve our success rate in implementing those technologies.A good example is our recent successful migration of ING field agencies to our existing Salesforce.com implementation. This proved that IT could be effective, leverage a solution already in place and create opportunities for future benefits. Our new focus is mobile computing and building applications that can run on any mobile device.My job was to create the vision, framework and guidelines, then remove obstacles and be a cheerleader. There have been many adjustments as we evolve from the IT of the ’90s to a service-oriented, partnering model. But we’re getting there and building confidence so that when we try big things, we’ll have a better chance of success.Houston Ross is vice president and CIO at ING Life Insurance in Japan.Follow everything from CIO.com on Twitter @CIOonline, Facebook, Google + and LinkedIn. Related content feature The year’s top 10 enterprise AI trends — so far In 2022, the big AI story was the technology emerging from research labs and proofs-of-concept, to it being deployed throughout enterprises to get business value. This year started out about the same, with slightly better ML algorithms and improved d By Maria Korolov Sep 21, 2023 16 mins Machine Learning Machine Learning Artificial Intelligence opinion 6 deadly sins of enterprise architecture EA is a complex endeavor made all the more challenging by the mistakes we enterprise architects can’t help but keep making — all in an honest effort to keep the enterprise humming. 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