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.
It's hard to imagine daily life without technology. Whether it's the computer at your desk, the cell phone in your hand, or even the television where you shop online, stream your favorite shows, and catch up on the news, technology is everywhere. More recently, technology has evolved and artificial intelligence and machine learning (AI/ML) has grown in popularity. And to no one's surprise, it is a part of our everyday lives. When we search on Google, AI/ML intelligence helps autocomplete our search query and provides results based on our location and what others commonly search for.
Artificial Intelligence (AI) and Machine learning (ML) are starting to feel a lot like the latest celebrity gossip--high on hype and light on substance. You can barely read a technology article or release today without someone espousing the latest AI/ML capabilities. The sales performance management (SPM) space, in particular, is one where the hype of AI/ML has not yet delivered on the hope of providing truly meaningful, actionable intelligence to customers--until now. Organizations must undergo a sales transformation to truly stay ahead in the fast-paced, competitive sales environment. It all comes back to the data, as well as access to vast computing power and readily available AI/ML algorithms.
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.