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        The business intelligence (BI) industry has been challenged with poor user adoption for years. Yet, many CIOs continue to push BI as a core initiative. Billions of dollars have been spent on traditional BI, but adoption rates are below 30%. Why? Successfully levering the full capabilities of business intelligence is still difficult to achieve, and product managers are searching for more. These individuals are looking for ways to expand the impact and value of their BI tools but are lost about where to start.

        The overall goal of BI is to provide business teams with the proper data and information at the right time to create insightful, data-driven decision-making. However, these solutions fall short and continually fail the industry through inefficiency, hefty costs, and an overall lack of value and insightful data production.

        Currently, traditional BI solutions force users to exit their current workflow to even attempt and secure any valuable data. When your team is operating in the middle of their workflow and needs data to inform a decision, they shouldn’t have to exit the application to enter yet another application, gather data and then jump back in. The likelihood of delays in report deliverability also factors into this headache. This process dramatically slows down any workflow and causes frustration for employees, especially when the data secured isn’t always useful.

        Additionally, many BI tools are not designed for business users but instead for more technical individuals within the organization. Traditional vendors often try to cover the complexity of their solution with self-service options and features, but users continue to feel like they need an advanced engineering or computer science degree to navigate them. This sucks up valuable time for non-technical users as they work to navigate a difficult platform to get the information they need.

Internet:: <rtinsights.com>  (adapted).