Getting to the "Why?"

A recent Deloitte study found that 71% of ‘Big Data’ was less than 50% accurate. And even with more accurate in-house data, Starbucks and American Airlines made disastrous changes to loyalty programs because they didn’t understand the ‘why’ behind their customers’ behavior. Satya’s unique, proprietary algorithms accurately extract human sentiment about an issue, person, or idea from vast amounts of unstructured and ambiguous data.

Unlike existing techniques, this analysis understands context and consumers’ personal and political biases. It also identifies multiple emotional dimensions that, for example, can reveal the likelihood of purchase decision, or turnout in an election. We curate data sources to get the most accurate, detailed, comprehensive, and balanced view of a topic, providing deep unfiltered insights into consumer and voter behavior, while tracking subtle shifts in opinion that other technologies miss. Integration with existing data sources exposes hidden insights, and brings certainty, clarity and focus so that candidates and marketers are more effective in achieving their goals.

Satya’s technology continuously learns about many industries, products, policies, election candidates, and the opinions and language used by the population. As more customers are acquired for each application and in each industry, data gathering and analysis costs per customer will fall rapidly. These industry databases will become a valuable asset, and Satya will be able to provide industry benchmarking.

By completing the customer’s information jigsaw puzzle, Satya will increase the value of their information investments, becoming the essential information source for every organization that wants to understand its audience. Our data should be an ongoing and essential tool for any marketing and advertising department or political campaign. Global consulting company, McKinsey, recognizes the untapped potential of sentiment analysis:

"Digital data-gathering and monitoring techniques—such as mobile diaries, social-media “listening,” and artificial-intelligence-driven message boards— will be vital tools to help companies understand emerging behaviors and contextual cues. When structured well, those insights generate new thinking within an organization that can be validated through larger-scale surveys and in-market testing. Companies can then refine their product offerings and marketing messages accordingly."