Instant analysis, greater insight, and rapid delployments are the main benefits of in-memory analytics. It used to be the case that there were only a small number of business intelligence users in an organisation, and these people were happy to get a weekly report. Not any more - with modern tools, such as In-Memory 
Analytics that take advantage of the huge advances in technology, you can spread decision making throughout the organisation and you don't have to spend large quantities of money or involve your IT staff in developing complex reports. The pace of business now demands fast access to information and easy analysis; if the tools aren't fast and easy, business intelligence will continue to have modest impact, primarily with experts who have no alternative but to wait for an answer to a slow query. In-memory analytics promises to deliver decision insight with the agility that businesses demand. It's a win for business users who gain self-service analysis capabilities, and for IT departments which can spend far less time on query analysis, cube building, aggregate table design, and other time consuming performance-tuning tasks. Some even claim that in-memory technology eliminates the need for a data warehouse and all the cost and complexity that entails. Business users have long complained about slow query responses. If managers have to wait hours or even just a few minutes to gain insights to inform decisions, they're not likely to adopt a BI tool, nor will front-line workers who may only have time for gut-feel decision-making. Instead they'll leave the querying to the few BI power users, who will struggle to keep up with demand while scarcely tapping the potential for insight. In many cases, users never ask the real business questions and instead learn to navigate slow BI environments by reformulating their crucial questions into smaller queries with barely acceptable performance. For example, the Austin, Texas, fire department serves over 740,000 residents and responds to more than 200 calls a day. The department recently deployed QlikTech's QlikView to better analyze call response times, staffing levels and financial data. QlikView is an in-memory analytic application vendor that has been growing rapidly in the last few years. With QlikView, users can get to data in new ways and perform what-if analysis, which the department says has helped in contract negotiations.
Benefits of QlikView go well beyond the fire department. "Unless we spend more efficiently, costs for safety services will take a larger share of tax dollars, making budgets less available for services such as libraries and parks," says Elizabeth Gray, a systems supervisor. Gray says that attendance and payroll data come from different systems and never seemed to make the priority list in the central data warehouse. "With QlikView, we can access multiple data sources, we can control transformations and business logic in the QlikView script and easily create a presentation layer that users love."
In many cases, In-Memory products such as QlikView have been deployed at the departmental level, because central IT has been too slow to respond to specific business requirements. A centralized data warehouse that has to accommodate an enterprise's diverse requirements can have a longer time-to-value. Demand for In-Memory is also strong among smaller companies that lack the resources or expertise to build a data warehouse; these products offer an ideal alternative to older BI tools because they can analyze vast quantities of data in memory and are a simpler faster alternative to relational data marts.
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