Traditional business intelligence and analytic models are being disturbed as the balance of power shifts from IT to the business, according to Gartner. The researcher has predicted that by 2017, most business users and analysts in organisations will have access to self-service tools to prepare data for analysis. Most tools will also have incorporated smart data discovery capabilities to expand the reach of interactive analysis, Gartner said. End user clamour for access to business data – combined with IT’s inability to satisfy this need – has manifested in self-service BI initiatives across many organisations. Vendors are responding with broadly deployable, cloud-based technologies for basic query, analysis and reporting, Gartner said. Often, these products are implemented by business units that have bypassed IT – disposing them to analytic sprawl, an inconsistent or incomplete use of data, capricious development of metric and formulae, and either too-restrained or unrestrained sharing of results, Gartner said. “As a result of the limited governance of self-service BI implementations, we see few example of those that are materially successful – other than in satisfying end user urges for data access, said Doug Laney, research VP, at Gartner. “This, combined with increasing examples of data privacy and security breaches, along with anticipated instances of public disclosure inconsistencies, will temper business leaders’ enthusiasm for self-service BI,” Laney said. “From unfortunate occurrences like these, we expect resulting investor and customer blowback for organisations with ungoverned or loosely governed, BI initiatives.” To counter this trend, Gartner expected a return to more controlled enterprise BI implementations or the deployment of self service BI technologies within a better governed, IT-led project environment. Meanwhile, Gartner also expected basic business user data mashup capabilities to become mainstream as part of discovery tools in the near future. Follow CIO Australia on Twitter and Like us on Facebook… Twitter: @CIO_Australia, Facebook: CIO Australia, or take part in the CIO conversation on LinkedIn: CIO Australia Follow Byron Connolly on Twitter:@ByronConnolly Related content feature エッジにおけるアナリティクスの価値を証明する データを収集する場所のアナリティクス機能を強化することで、企業はより高い応答性と効率性を実現しています。ここでは、エッジ アナリティクスの3つの成功事例をご紹介します。 By Bob Violino Jun 06, 2023 2 mins Edge Computing brandpost From edge to cloud: The critical role of hardware in AI applications The rise of generative artificial intelligence By Broadcom Jun 06, 2023 5 mins Machine Learning Artificial Intelligence brandpost The new value calculator: Levers for business optimization Squeezing maximum value out of your data is not only about cost-savings—it’s time to create significant potential by transforming your competitive position. By Sandrine Ghosh Jun 06, 2023 5 mins Data Management brandpost The new wave of data observability Innovative ‘applied observability’ can detect issues and diagnose their root causes swiftly and effectively. By Sandrine Ghosh Jun 06, 2023 4 mins Data Management 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