Predictive Analytics Use Cases
Shift From Reactive to Proactive with Predictive Analytics
Attracting, retaining, and growing a customer base is an ongoing effort. To maintain an advantage, companies must shift from reactive to proactive decision making. Predictive analytics uses data mining, big data analytics, predictive modeling, AI, and machine learning to better inform sales, marketing, and services. Extrapolate trends from internal and external sources to build a more accurate model of your customers, provide a better customer experience, and improve sales & services.
Tips for Evaluating Predictive Analytics Tools
Know the Data Sources
Predictive analytics tools can pull internal data, but what about external factors? Do you have enough data to do predictive analysis? Comprehensive solutions also pull third-party data to extend your analytic capabilities.
Look for Customizable Inferences
A learning machine will draw conclusions and create processes based on its understanding of historical data. Sometimes, it draws the wrong conclusions. The ability to modify the conclusions and processes is the key to a successful AI.
Finding Hidden Insights
Look for a tool that can find patterns in the data to reveal hidden insights like recurring service issues, upsell candidates, most likely opportunities, best actions to close a sale, or leads that are likely to purchase.
The Law of Large Numbers
While a single piece of data only shows an instance, a large set of data shows a pattern. The Law of Large Numbers indicates overall trends and patterns that can be used to make predictions. Make sure the tool provides you with confidence calculations to determine the accuracy of the predictions.
What Customers Say About Us
You Know Your Business. We Know Your Software.
Purchasing software can be overwhelming. There are so many solutions on the market that it's hard to know which one will best serve your needs. Our job is to relieve you of the stress by recommending solutions based on your business goals, budget, and what will work with your existing applications. We've done the research so you don't have to. Check out the analytics solutions below. Then, let our team help you qualify and select the right one for your needs.
Predictive Analytics Solutions
Infor Coleman AIInfor's Coleman AI is an enterprise-grade solution built on the Infor OS technology platform. Coleman features natural language processing, intelligent automation, machine learning, voice user experience, citizen AI tooling, robotic process automation (RPA) , and much more. Users can explore data and personalize predictions quickly for optimal ROI.
SugarCRMWith built-in predictive analytics features, SugarCRM enables businesses to create extraordinary customer relationships with the most innovative, flexible and affordable CRM solution on the market. The company places the individual at the center of its solution, coordinating the actions of customer-facing employees and empowering them with the right information at the right time to transform the customer experience.
CreatioCreatio (formerly bpm'online) is a global provider of process-driven CRM for marketing, sales, and service. Uniting it's built-in predictive analytics capabilities with it's process-oriented approach, Creatio helps users uncover the deeper meaning from their data to streamline sales, marketing, and services.
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