VERADATA, LLC
FT. MYERS, FLORIDA

VeraData is the decision sciences company. Decision science is the core of every service we offer to our clients. We use decision science to help you know your customers or donors. We know what they like and what they respond to. We know where to find them and engage them. We help you start a relationship with a donor or customer and then build a lifetime relationship with them. Our machine learning infrastructure, along with our people and processes identify and predict your best prospect to present the product/offer , through the right channel, and with a prescribed engagement message. We are proud to serve many of the nation’s leading not-for-profit and cause marketers to help them accomplish their mission. We provide similar services to our commercial clients with a focus on companies in the retail, automotive, utility, home services and any company which needs to generate new leads. All of our services are built around decision science driving the optimized use of data, marketing technology and digital services to identify, engage and grow your engagement with your customers. Contact us today to schedule a consultation and see the difference working with VeraData Decision Labs can have on your results. We know them, we’ve used them, we think we have re-invented them and sometimes we are succ­essful — but not anywhere near the success, had we relied on technology that runs across high performance networks in Peta scales… More on that later… Because machine learning’s emergence as a mainstream management tool is recent, it often raises questions. However, the competitive significance of business models turbocharged by machine learning will increase as these tools become more widely adopted Raw computational power is growing at an even faster rate, and machine learning is unconstrained by the preset assumptions of statistics, a primarily descriptive tool. Business management and operations (the human element), however, have not caught up with the enormous increase in machine learning capabilities. Machine learning applications analyze and predict the optimal combination of touch points based on many patterns at scale with very high precision, e.g., geography, time of day, demographic factors, credit quality, etc. This is a computationally effective process, often involves many trillions of calculations per second (TFLOPS/ranges or greater), and is controlled by distributed frameworks which manage data flows, formulate algorithms, and provide consistent statistically valid output. Those non-donors we talked about earlier—1.60% response rate compared to .53% response rate for cold acquisition lists. The non-donor segment achieved positive net for not only this campaign, but are continually doing so with each acquisition effort. Not all are firm believers in this relatively new field of machine learning. Here’s where a head to head proved the proof is in the pudding. A bake off between those cute, catch phrase segments and machine learning algorithms resulted in significant lifts in every segment: many upwards of 50%. Segmentation combined with giving history is no match when it comes to looking at data in 50,000,000 dimensions. These are just a few of the many examples of how machine learning tools can surpass traditional methods of RFM, demographics, giving propensity, and basic regression models. Most marketers in the commercial space have been approaching reactivation through this network of machine algorithms and making sense of big data. Dina Fanelli is a 27+ year veteran of non-profit fundraising and often shares her expertise speaking and presenting at industry events. Her professional background includes data-driven fundraising solutions for multi-channel marketing campaigns. Throughout her career, she has had the privilege of assisting some of the largest charitable organizations raise hundreds of millions of dollars in support of their fundraising efforts. Since joining VeraData as an Executive Vice President, Dina has been responsible for new business development in the non-profit division. She cultivates and strengthens relationships with our largest accounts while also providing strategy, insight, and training to the Client Services team. Before you can make any marketing decisions, you need to know what’s going on right now. And it’s equally important to know what has happened in the past. Our Descriptive Analytics Service lets you do both. It does so by segmenting “Big Data” into smaller, more useful bites of information. Descriptive Analytics can provide invaluable insights into and visualization of your data on customers, donors and prospects that you can use in your day-to-day decision making. VeraData delivers business intelligence with big data and analytics technologies. We’re a decision science company. Which means we use scientific techniques and technology to help clients make marketing decisions. Our next generation technologies and machine learning- based analytics are behind some of the smartest decisions being made by direct marketers and fundraisers today. What’s more, we’re the only decision science company to guarantee results. We will build a machine learning solution for you that out performs your Control. If it doesn’t out perform – you don’t pay. It’s that simple. VeraData is the only decision science company in the world to guarantee its’ machine learning performance result. Since our campaign analytics and recommendations beat the others more than 96% of the time, it’s likely we’ll continue to be the only ones who make this gaurantee to you. If you’re a nonprofit, we can help you get more donors … keep the donors you have … bring back those who have strayed … and get the most out all of them. All at lower cost. And if you’re a for-profit direct marketer, we can help you get more customers … keep those you have … bring back … well, you get the idea. No matter which you are, we can help you make better decisions on which campaigns to run and what media to use. We can even provide insights that can help guide your creative decisions. All to help your organization achieve its goals.