Data analytics is the science of analyzing raw data in order to make conclusions about that information. ... This information can then be used to optimize processes to increase the overall efficiency of a business or system.
Modernizing the core to prepare for the digital transformation.
Building intelligence systems that interpret data cognitively to discover new signals and connect the unconnected.
Leveraging Artificial Intelligence to nurture a learnable and adaptable enterprise that evolves at digital speed
Modernization entails releasing data and insights hidden in the legacy landscape to create a flexible mesh of foundational services. This foundation can then be decomposed into components that can be dynamically organized in several ways and automated to deliver against an evolving context.
.
Having released data from the core, the next task is to digitize the data supply chain and turn it into an asset that can be interpreted cognitively and leveraged for making data-led decisions across the enterprise. We do this for several of our clients in the retailing business.
We work to make sense of their structured and unstructured data around consumer actions, response to promotions, Smart Label scans, product affinities, customer propensities, along with price and promotion sensitivities. We then use machine learning models to improve the recommendation logic for their real-time product promotions.
We put to use several Artificial Intelligence models to solve business problems in an expert-assist, near-fully automated mode. This allows for continuous learning and continuous improvement to be factored into both validated and new models.
We deploy AI techniques to detect anomalies in data values and transaction volumes that point to suspicious events and then alert decision-makers to potentially fraudulent activities. We even study these patterns to predict incidents and enable just-in-time prevention of irregularities.