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Our latest benchmark research on sales applications and technology reveals three trends sales organizations see as critical to improving their operations and performance: mobile technology like smartphones and tablets, collaborative capabilities and business analytics applied to sales. At the same time many sales processes are becoming easier to use, including compensation, forecasting and quota and territory management. To take advantage of these advancements sales management has to establish priorities and better understand how they can help maximize the time focused on selling.

Our research found that while many sales organizations have made steps forward, most are still lagging when it comes to their overall sales processes. Only 14 percent of sales organizations are operating at peak levels of efficiency and effectiveness, due to a range of issues across the sales team, its processes and the information, applications and technology, which they need to operate across all levels of the organization. Sales leadership also sometimes fails to understand how technology can help retain sales talent and foster sales activity. While our research found that most organizations agree on the common goals of sales – increasing revenue (72%), improving efficiency of sales (57%) and growing business in net new customers (56%) – more than two-thirds still use spreadsheets universally or regularly, though they admit that reliance on spreadsheets makes it difficult to manage sales efficiently.

After two decades of sales force automation (SFA) software, more than two-thirds of sales organizations use it now, compared to 42 percent in 2008, and 61 percent are satisfied with the software. Most sales organizations are content with their suppliers, which provides challenges for competitors that focus on converting SFA customers rather than expanding their portfolios of sales applications. Yet more than two-thirds of sales organizations today do not have applications to support a range of sales processes, including channel management, commissions, incentives, objectives, configure-price-quote, proposal, and quota and territory management. Most still use spreadsheets and custom applications for these activities. Our research found sales organizations’ most important priorities to be forecasting, analytics, lead management, planning and tracking, and commissions and compensation, all of which indicate that sales will need tools beyond sales force automation. Integration of these new areas with SFA is critical to leveraging operational resources like accounts and opportunities.

I recently outlined our research agenda for sales to educate the market on the use of technology and best practices. I have been engaged in the sales applications market since the early 90’s and have designed and deployed SFA, and it is a pretty exciting time to be assessing how new mobile technologies can help improve sales. Unfortunately, most sales applications are not ready for use on smartphones and tablets. Quick access to information from smartphones is essential, as sales teams are usually on the go. Our research found that 30 percent of sales organizations are planning to deploy tablets in 2012, and they plan to purchase both Apple and Android tablets; supporting them will require software vendors to build applications that can operate natively or within the Web browser on both platforms.

Our research and work with sales organizations shows a lot of need for improvement. We recommend that they create a team to classify the improvements needed for each role in the sales management process: managers, operations, analysts and account executives. Each has specific needs that often get overlooked or are expected to be addressing by upgrading the SFA application. Our research found that sales organizations are slowly moving to do what they need to do; one-quarter plan investments evenly across the roles in sales. Across all roles, usability is the number-one evaluation criterion for new technologies in 73 percent of sales organizations, even more critical than functionality, manageability and other criteria that we have defined in our Value Index evaluation and RFP methodology.

Many organizations (41%) will get new applications primarily through cloud computing and software as a service. Another 27 percent have no deployment preference. This leaves only one-quarter of organizations preferring the on-premises approach, and 7 percent preferring hosted. The days of buying, installing and living with legacy applications for sales are over, as companies turn away from relying on their IT staff to upgrade them.

Our research confirmed that sales organizations that are most efficient and able to maximize selling time are those that have invested in applications designed for sales. But we found that getting the budget to enhance sales applications will not be easy; it is the largest impediment for organizations, followed by lack of executive sponsorship and an unconvincing business case for investment. The more that sales teams can demonstrate how new software can save time and improve sales effectiveness toward revenue targets, the faster these advances will be adopted. If your organization needs technology help, you might find allies in finance, since they have a vested interest in improved sales performance and revenue; the research shows that one-quarter of finance groups will sponsor and help fund new investments in order to get information on a more timely basis. If you have not been looking at what technology can do to improve sales efficiency and effectiveness, get started and look at what could be a new renaissance in sales applications. In the coming weeks I will be writing in more depth about some of the key tools, from analytics to forecasting, that can help improve sales results and overall business health.

Regards,

Mark Smith – CEO & Chief Research Officer

Business intelligence software is increasingly mobile, becoming available via smartphones and tablets and now enabling planning and what-if scenarios to determine the impacts of changes that might be made to improve performance. InetSoft, which has been providing business intelligence tools for more than 15 years, has advanced its technologies to address these trends. The company recently announced version 11.2 of InetSoft Style Intelligence, adding many new capabilities. Among them, the software now allows users to modify data within its Viewsheet data worksheet and provides database write-back to support a range of needs. It also lets users export and manipulate data within Microsoft Excel and then import it back into Style Intelligence for further use.

I got a chance to review these capabilities in scenarios including reviewing sales leads and cleaning up data to change the status of specific leads in order to see how sales quotas and projections are completed. Setting up these situations is straightforward. An analyst can define fields using the software’s Visual Composer and can extend data further through scripting in Style Studio.

InetSoft’s Style Studio is one of the easiest-to-use business intelligence tools. You can model data relationships using the Data Block feature, then easily build out a Viewsheet of analytics and present it using the Visual Composer assembly and presentation environment. This approach helps analysts reduce data preparation time. That can be an important advantage, as our business analytics benchmark research found that organizations spend two-thirds of their analytic process time in such data-related activities. InetSoft users also can assemble and deploy dashboards or reports quickly reducing the time to get the analytics and information in the hands of the business.

InetSoft added support for HTML5 last year with Style Intelligence 11.1, and it can support browsers on Apple iPads and Android devices. Its tablet application is not just a dashboard to visualize analytics; it provides interactive controls such as sliders and checkboxes for data discovery, functionality like what analysts get from desktop BI tools.

With version 11.1 Style Intelligence became a BI product for distributed enterprises, with support for a multitier development and deployment environment. Analysts can easily save and push out new versions of reports for review and approval. They can build derived metrics and calculate fields based on intelligent aggregates that the software automatically recalculates in any analytic view. These metrics could be sourced from various data sources, and analysts can drill down within charts and crosstabs to the underlying data. Analysts have come to expect this type of capability as they look to build upon what they know how to accomplish with spreadsheets, but in simpler, sharable and secure ways.

We have been covering InetSoft for years. Its 11.1 and 11.2 releases continue to expand its software’s sophistication for creating planning and what-if scenarios. Its drag-and-drop interactive visual assembly of analytics within a Web browser and data discovery enable business users to move from conventional business intelligence software that depends  on IT assistance but still securely access enterprise applications and systems to get the data they need. In a future release, I would like to see InetSoft embed more collaborative capabilities to help individuals share notes and actions that are found within the data but this is something that all BI providers need to do more of in their products.

InetSoft’s advancements align with our business intelligence research agenda for 2012. If you are looking for an easy-to-use and -assemble business intelligence technology that can work across a distributed enterprise and on mobile platforms, take a look at InetSoft’s latest release.

Regards,

Mark Smith – CEO & Chief Research Officer

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