Turning data points into revenue is both a challenge and an opportunity for companies. Silicon Valley-based Quantifind is helping companies with that challenge by providing artificial intelligence products that cut through the data noise.
Malcolm De Leo, Chief Evangelist at Quantifind, spoke to RewardExpert. “Quantifind has productized AI so companies can find revenue-driving insights themselves, and keep finding them as the product and the marketplace adapts in the years ahead,” he said. “From structured financial data to volumes of unstructured social text, Quantifind’s data science platform finds the reasons behind movement in KPIs (key performance indicators).”
The Quantifind Story
Founded in 2009 by two physicists from Stanford, the company initially focused on pilots for technology and defense intelligence mapping. A meeting with Disney executives forced a change of course toward helping marketers and financial institutions. Company founders noticed that many companies were not approaching their data correctly, leading to missed opportunities.
“Companies are still relying too much on their hunches dressed up as data-based decision-making. Culturally, companies need to admit to themselves that their burgeoning data problem can only be solved by bringing the mathematical signal process to data, and to decision-making,” stated De Leo.
Bringing Data to Life
At its most basic level, Quantifind puts critical data points for a company in one easy to analyze place. Its AI software removes the so-called data noise, allowing influential and potentially revenue increasing patterns to be detected more easily. It does this through its platform, which puts structured data (easily searchable data) and unstructured data (not easily searchable, more opaque like human language) into one location.
“By using a platform to bring this data to life, companies can tell stories about anomalies in their businesses much more easily, and correctly,” explained De Leo.
With Quantifind, the data is not just in one convenient platform; it also speeds up the time required for analysis. De Leo points out that Quantifind’s technology takes just seconds to analyze tough to quantify unstructured data.
“Quantifind has solved a really thorny problem because it has productized the signal processing of unstructured data so it can be queried in moment in real time—meaning analysis takes seconds not hours. This enables them to learn what they need to know, quickly, so they can course-correct and thus optimize their processes and workflow,” he noted.
Quantifind describes its products as helping companies in four critical areas: timeline, analysis, affinity and impact.
Timeline gives a bird’s eye view of the data that matters to a business, which is essentially the where, when and why. Analysis allows a company to understand why customers like or don’t like a specific product or service. Affinity allows a company to see insights that help build brand loyalty and expand the customer base. Finally, impact can help determine whether specific ad campaigns and outreach efforts are reaching the target audience.
Quantifind has been quick to gain clients looking for an artificial intelligence edge, and its adoption has been rapid in the food business. Eight of the top 20 U.S. restaurant companies are clients of Quantifind. The company’s products help restaurants gain insight into their customer base by analyzing customer surveys, social media mentions and more.
Helping Financial Services Companies
Another area in which Quantifind has seen rapid adoption is financial services. The company offers software that helps financial companies protect against fraud, as well as track fraud that’s already been committed. Quantifind’s AI modeling platform checks social chatter, newsfeeds and the dark web to find potential bad actors. Other clients come from retail, media, entertainment and other industry groups.
To find out if Quantifind is right for your business, check out quantifind.com.