In Context, by Doug Henschen
Doug Henschen joined Intelligent Enterprise as Editor in 2004 and was named Editor-in-Chief in January 2007. He has specialized in covering the intersection of business intelligence, performance management, business process management and rules management technologies within enterprise applications and architectures. See More by Doug Henschen It's Hard to Avoid BI Complexity
Posted by Doug Henschen I've probably seen more than a hundred press releases promising products that will "put powerful yet intuitive reporting and analysis in the hands of business users." When I covered the content management market on a daily basis (a few years back), the PR mantra was "make everyone in the organization a content contributor." All too often, these types of products aren't all that easy or intuitive. I was reminded of these promises as I researched this week's " In-Depth Analysis story, centered around an AberdeenGroup BI study released last week. The baseline assumption of the study is that companies want to improve access to actionable information, but the 370 study respondents reported these top-five obstacles: #1. Lack of BI skill sets (among business users) Despite the many promises about easy-to-use products that will help spread BI enterprisewide, we're still well shy of where we'd all like to be. As Cindi Howson observed earlier this year, "front-line workers and middle managers express exasperation at the state of many BI tools. Can't someone make it look like Google? Or iPod? Give me a gadget on my Blackberry?" One of the conclusions of Aberdeen's study is that "best-in-class" organizations those succeeding in improving access to data while meeting BI project budgets and deadlines are more likely to turn to embedded BI (inside ERP, CRM and other apps), outsourcing and SaaS/On-demand offerings. They're buying rather than building not only to avoid complexity and cost, but also to cover a big gap in BI and IT skills. Maybe if products truly were easier to use and to deploy, organizations wouldn't be struggling with a skills gap, but I dont know of many alternatives that could be described as Google- or iPod-easy. The allure of SaaS-Based BI as well as of alternatives such as data warehouse, BI and integration appliances is that it promises simplicity. Casual Male and Anchor blue ship their data off at night and merchandisers get their reports the next morning. The skill, experience and expensive software is all behind the scenes at the SaaS vendor. The tradeoff in taking these "easy" routes may be the creation of yet more silos and multiple versions of the truth. In this article, Joy Mundy of Kimball Group argues that analytic apps (or "smart apps" as she calls them) must have the solid foundation of an enterprise data warehouse and data quality programs. The same advice surely applies to SaaS-based approaches. In short, unless it's a very simple, straightforward reporting need that's not interconnected with all sorts of other data and interrelated analyses, it's probably impossible to avoid complexity somewhere along the way. The practitioners who succeed will be those who can hide the complexity from end users and make things look easy. That's where experience comes in, one of the biggest differences Aberdeen spotted between best-in-class organizations and the average and "laggard" companies. E-MAIL | SLASHDOT | DIGG This is a public forum. CMP Technology and its affiliates are not responsible for and do not control what is posted herein. CMP Technology makes no warranties or guarantees concerning any advice dispensed by its staff members or readers. Community standards in this comment area do not permit hate language, excessive profanity, or other patently offensive language. Please be aware that all information posted to this comment area becomes the property of CMP Media LLC and may be edited and republished in print or electronic format as outlined in CMP Technology's Terms of Service. Important Note: This comment area is NOT intended for commercial messages or solicitations of business.
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