All lines of business are under pressure to meet targets and deliver expected results, but none is under more pressure than Sales. Like other organizations it must use information to derive insights about progress and problems and to decide what changes to make. Today businesses collect and analyze data from more data sources in more forms than ever before. To understand it they need effective analytics, and again none need it more than Sales.
Topics: Big Data, Sales, Sales Performance, sales analytics, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Financial Performance, Information Applications, Sales Performance Management, SFA
Most people in business management admit that sales is more an art than a science. Organizations have long struggled to find the right mix to improve its effectiveness, and few get the most out of available technology. For many the default is still to use sales force automation (SFA) and spreadsheets to manage processes and try to increase the productivity of sales staff. In our view they should take a holistic approach to sales processes from contact to close and support everything from sales forecasting to pipeline management to compensation with applications designed for these purposes. Those in sales operations need to apply analytics to understand and fine-tune sales activities. Those in sales management need applications that can help recruit, engage and retain the best talent. Even more than elsewhere in business, in sales people matter, and the organizations that most empower their teams are likely to get the best results. Optimizing people and processes requires a balance of information and technology to support the various needs of the sales organization.
In recent years line-of-business applications including accounting, human resources, manufacturing, sales and customer service have appeared in the cloud. Cloud -based software as a service (SaaS) has replaced on-premises applications that were previously part of ERP and CRM environments. They have helped companies become more efficient but have also introduced interoperability challenges between business processes. Their advantage is that cloud software can be rented, configured and used within a day or week. The disadvantage is that they don’t always connect with one another seamlessly, as they used to and when managed by a third party there is limited connectivity to integrate them.
Topics: Sales Performance, Supply Chain Performance, ERP, Order Management, Operational Performance, Business Analytics, Business Performance, CIO, Cloud Computing, Customer Service, Financial Performance, Accounting, CFO, SFA
Few sales organizations realize their full potential, partly because they don’t execute well. We urge organizations to move beyond conventional wisdom in how they think about executing sales processes and have placed methods for making improvement to sales execution at the center of our research on sales in 2014. In our recent research on sales forecasting almost half (44%) of sales organizations said they have impediments that are motivating management to consider further investment in sales technology, and the most common of those is inconsistent execution (for 53%). Many sales organizations don’t use training in a consistent manner and fail to automate processes to gain efficiency.
Sales forecasting is an essential process for most businesses. It helps guide the efforts not only of the sales function but also of finance, operations, manufacturing and customer service. Our recently released sales forecasting benchmark research reveals significant insights and best practices that can help companies optimize the effectiveness of this process. I recently wrote that most sales organizations need to make significant changes to the way they do sales forecasting. In that analyst perspective, I examined aspects of technology that can make sales forecasting a much more efficient process than it is in most organizations that use software not designed for sales forecasting.