I have been following advances in sales analytics since the 1990s. Over the last five years, however, I have seen evolution, not innovation. In most cases the information that analytics provides is too complicated and not contextualized enough for sales people who are not analytics experts to understand, let alone take action on. As I pointed out in my 2017 research agenda on sales, analytics is essential for planning that improves the impacts of sales efforts and meets the goals of the organization.
Topics: Big Data, Sales, cloud computing, Product Information Management, Sales Performance Management, analytics, Billing and Recurring Revenue, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Collaboration for Business, Sales Planning and Analytics, Mobile Technology Operations & Supply Chain
I am happy to provide my personal perspective on the potential of sales organizations, processes and technology to supercharge business activity in 2017. The sales processes of organizations – whether they involve digital commerce or direct or indirect physical selling – should be part of continuous optimization efforts to reach maximum results. To do this, the people leading and running sales processes must be able to use technology that supports their responsibilities and analyzes the crucial information coming into the business. For almost 15 years, we have advocated for sales applications and tools that are necessary to optimize sales effectiveness and improve the outcomes of their sales efforts. The available portfolio is much larger than sales force automation (SFA) and involves more than the continued use of CRM, which has clear limits in its ability to manage customer relationships. The applications on offer include many facets of sales: coaching, compensation management, contract management, configure price quote (CPQ), forecasting, quota and territory management, planning and optimization, pricing and revenue optimization, and target or market intelligence. New applications designed for sales also enable digital effectiveness that can transform organizations. Let me provide my perspective on six topics that are shaping the way sales can and should operate in 2017, and which are part of our sales research agenda for the year.
Topics: Big Data, Sales, Machine Learning, Mobile Technology, cloud computing, Product Information Management, Sales Performance Management, analytics, digital technology, Billing and Recurring Revenue, Digital Commerce, Operations & Supply Chain, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Collaboration for Business, Sales Planning and Analytics
Senior finance executives and finance organizations that want to improve their performance must recognize the value of technology as a key tool for doing high-quality work. Consider how poorly your organization would perform if it had to operate using 25-year-old software and hardware. Having the latest technology isn’t always necessary, but it’s important for executives to understand that technology shapes a finance organization’s ability to improve its overall effectiveness.
Topics: Big Data, data science, Mobile, Mobile Technology, Office of Finance, cloud computing, Continuous Planning, revenue recognition, Business Intelligence, Collaboration, analytics, Financial Performance Management, recurring revenue, Price and Revenue Management, Inventory Optimization, Billing and Recurring Revenue, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Collaboration for Business
Oracle and NetSuite have completed their merger. The combination is likely to be positive for customers because NetSuite will have access to “more,” a word repeated many times over the course of Oracle’s post-acquisition webcast. Existing NetSuite customers will benefit from increased investment as well as economies of scale that Oracle can bring to R&D and sales and marketing. Oracle has stated that there’s little overlap between its target customer base and NetSuite’s. However, there is substantial overlap with NetSuite’s application partner network because of Oracle’s own broad application portfolio. As such, many of these partners are likely to shift their attention to NetSuite’s cloud-only competitors (for example, FinancialForce and Intacct), which will benefit those rivals’ sales and marketing efforts.
Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Continuous Planning, revenue recognition, Customer Service, HRMS, recurring revenue, Price and Revenue Management, Billing and Recurring Revenue, Work and Resource Management, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning