Integrated with Salesforce, Xactly's Sales Performance Artificial Intelligence (AI) platform applies machine learning algorithms to over 13 years of pay and performance data to analyze and predict the risk of future employee attrition. Leveraging a model of over 50 unique data elements, organizations can proactively address and prevent undesired sales attrition, reducing a significant business cost and safeguarding performance. Customers now have the ability to leverage the power of Salesforce Einstein and Xactly Insights together, allowing sales leaders to become smarter and more predictive. With the ability to predict leading sales indicators using both customer as well as their own reps' pay and performance data, sales leaders can: prioritize opportunities, prevent their top reps from leaving the organization and make real-time decisions to optimize overall sales performance. "Xactly has harnessed the power of big data to provide organizations with a predictive, real-world AI application that they can easily implement and use today to ensure the productivity and health of their sales force," said Christopher W. Cabrera, founder and CEO of Xactly.
Today's business environment is becoming increasingly competitive. As a result, sales organizations need deeper insights and access to data to stay ahead of the competition. One way sales teams are getting a competitive advantage is through artificial intelligence and machine learning (AI/ML). However, while many companies are looking into and adopting AI/ML technologies, success relies on more than just the algorithms within the tools. Organizations need the right data in order for AI/ML to "learn" to be truly effective.
Technology is becoming more and more important in corporate businesses as both an enabler for competitive advantage and a means to successfully reach sales goals and drive growth. In turn, this has increased executives' roles in the technology adoption process, specifically CFOs. In the accounting and finance worlds, companies are beginning to dip their toes into automation tools. While most organizations are open to automation, a select few are also beginning to explore artificial intelligence (AI) and machine learning (ML) capabilities. As part of CFO Alliance's Q2 Breakfast Roundtable Series, Xactly CFO Elizabeth Salomon participated in a Q&A to discuss the future of finance with technology and talent recruitment.
No one with any experience in enterprise IT would suggest that technology itself can boost the bottom line. Emerging AI sales technology, however, can provide a shortcut to success by delivering more leads and making more reliable predictions than sales reps can on their own. Today's sales teams rely on numerous tools to fill out the entire sales value chain, with large organizations reporting the use of 60 or more sales technologies, said Tad Travis, Gartner research director, in an October 2018 panel webinar in which analysts discussed emerging trends in sales technology. Sales force automation (SFA) handles the basics of sales execution programs, like managing accounts, deals, forecasts, sales activity recording and lead management. Then, there are components that integrate with those, such as configure, price, quote tools, master data management, marketing automation and partner relationship management tools.
Xactly delivers a scalable, cloud-based enterprise platform for planning and incenting sales organizations, including sales quota and territory planning, incentive compensation management, and predictive analytics. Using this powerful sales performance management (SPM) portfolio, customers mitigate risk, accelerate sales performance, and increase business agility. Combined with Xactly InsightsTM the industry's only empirical big data platform, Xactly empowers companies with real-time compensation insights and benchmarking data that maximize the bottom line. With an open, standards-based architecture, Xactly seamlessly integrates within an enterprise's existing infrastructure, with the ability to work with any ERP, CRM, or HCM application, while meeting the highest enterprise standards in security, reliability, and privacy.