Data Analytics

Data Analytics

ShanSys Engineering integrates Artificial Intelligence (AI) and Machine Learning (ML) in several of its offerings in multiple domains. This is observed across several use-cases such as predictive maintenance, vehicle diagnostics, large scale simulations and more. Make your Data by building an analytics driven enterprise to monetize data.


Data is an enterprise that desires to be digital. It is that strategic asset that facilitates the business learn about evolving opportunities, hidden threats, changing customer expectations and the competitive landscape, in context and in time to respond meaningfully.


This, in turn, helps to automate the supply chain, drive continuous innovation, and create micro-moments based customer experience. Artificial Intelligence powers the core of this data-driven enterprise and creates signals that then act on the business to bring transformational value.


We help our clients adopt this approach to ubiquitously create value from data.


We move them away from the conventional use case or point solution-led approach, towards the path to building industrialized capabilities to monetize data. We begin by creating an integrated blueprint of opportunities - unique to their business - for data-led value creation.



What is Data Analytics?

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.



Explore our offerings

Analytics to cover the whole spectrum of Analytics work done in an organization, from Insights and Modeling to AI and ML.


Data Operations to build automation-driven, scalable platforms for optimized data operations and managed services.


Data Modernization to build a boundary-less data landscape, powered by cloud-based data platform architectures to scale data, and pervasive analytics to democratize its consumption.


Data Monetization to discover and realize new insights-led opportunities, which are unique to the business, to improve the work they are already doing, and also innovate in unexplored dimensions.


General Data Protection Regulation (GDPR) to enable organizations to be GDPR ready by leveraging our end to end framework - Assess, Define, Administer and Manage.


Make your Data by building an analytics driven enterprise to monetize data

Analytics to enable the organization with insights and modelling to AI and ML.


Data Modernization to enable a boundary less data landscape.


Data Monetization to enable opportunities driven by insights, innovate in unexplored directions and to amplify outcomes.


Data Operations to enable automation driven scalable platforms for optimized Data Operations and Managed Services.


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