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.
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.
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.
Note: In May, I wrote about why companies that are providing a larger set of services and products to their clients might want to be thinking in terms of mini-ecosystems. Imagine my surprise when I was contacted by Matt Bray, who had built just that -- a mini-ecosystem in Europe around Xactly, one of the leaders in sales compensation. I asked Matt, who is the director of Strategic Alliances for Xactly in EMEA, if he would tell his story so you can see what they did and get a few hints on what to do. It's been an amazing summer for sports: Formula One Grand Prix, Soccer Euro 2016 Championship, Wimbledon lawn tennis, Tour de France, and finishing with the Rio Olympics. As an avid sports enthusiast, I look at all our athletes in admiration, representing their country (or team), aspiring to be at the pinnacle of their game to ensure at the right moment they perform, when it matters, their best.