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.
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.
It’s clear that sales organizations need to be efficient, but many are unaware of critical applications they could deploy to establish sales excellence. In my recent analysis, “Sales Organizations Need a Swift Technology Kick”, I outlined why sales departments have to look beyond using sales force automation (SFA) and spreadsheets and examine dedicated applications for improving productivity and effectiveness. Our benchmark research in sales applications found a new set of application priorities in sales organizations that you should assess to determine how well your sales efforts match up to others’. Also, in most cases, we found the prioritization and needs of sales organizations are not aligned, resulting in wasted time and likely creating a lack of access to accurate information for sales management and operations.
Topics: Sales, Sales Performance, Social Media, Supply Chain Performance, Sustainability, sales analytics, Sales Forecasting, IT Research, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, SFA
NICE Systems last week announced an agreement to acquire Merced Systems, a provider of business applications for customer service and sales organizations. This acquisition slipped by with little fanfare, but it marks a significant milestone for NICE, a major provider of applications and technology for call centers and a player in their evolution into multichannel contact centers. Building on a good 2010, as my colleague Richard Snow noted, NICE expects to reach almost $800 million of revenue in 2011, which would make it one of the largest companies in its segment. NICE has made multiple acquisitions to build its software portfolio, including purchases of Actimize, CyberTech, eGlue and others mentioned below. It recently won our 2011 Ventana Research Leadership Award in the contact center category with its customer deployment at Alliance Data. NICE Systems plans to have Merced Systems as a foundation of its enterprise systems and a complement to its contact center workforce optimization offering. This purchase builds on its other acquisitions, including FizzBack recently and IEX and Performix in 2006, which helped NICE establish its customer service and back office agent performance management software. That area has not grown as quickly as NICE would like, mostly due to marketing that was not aggressive enough in attracting customers. NICE recently rebranded its NICE SmartCenter for helping agents, as Richard noted, and is leveraging its assets into the back office, which he also assessed. Our benchmark research on contact center technology found that companies’ priorities for future investments match up well with NICE Systems’ focuses on expanding customer service agent applications and analytics applications.
Topics: Predictive Analytics, Sales, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience Management, Customer Feedback Management, Marketing, Merced Systems, NICE, Revenue Performance, sales analytics, Sales Compensation, Sales Force Automation, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, 360-degree view of the Customer, Agent Performance Management, Call Center, CFO, CMO, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Sales Performance Management, SFA, Text Analytics, Unified Communications, Workforce Management