Analytics India Magazine brings the list of leading analytics and data science products for the year 2020 that have positively impacted businesses across the globe, helping them make decisions. To source the best 10 products, we reached out to more than 25 companies. Ranging from serving financial sectors to manufacturing, retail, solar and other industries, these products have made a significant impact on driving business value for the companies.
_Please note that this is not a ranking and the list is in no particular order. _
Cora Finance Analytics By Genpact
Cora Finance Analytic by Genpact is a comprehensive and persona-based financial analytics suite that enables data-driven decision making for finance professionals across all business units and functions. It aims at driving faster business outcomes by augmenting the evidence-based decision making cycle through Robust Data Foundation Layer, Advanced Analytics, Data Science Application, Domain Expertise and Smart Processes. It is built on a domain-centric data platform and can do real-time and API-based integration, including semi-structured and unstructured data.
**Key Differentiation Factor: **It is a technology platform agnostic and can be easily embedded into clients’ business workflows in any production environment — On-Prem, Cloud or Hybrid.
**Client, Sectors and Geographies Served: **It is being used by over 25 clients across sectors such as hi-tech, manufacturing and services, consumer packaged goods and retail. It serves across geographies such as the US, Europe, Asia, Australia.
About the Company: A global professional services firm, Genpact drives digital-led innovation and digitally-enabled intelligent operations for clients guided by deep experience in data and analytics. Headquartered in New York, it operates in more than 25 countries, accelerating the digital transformation to create bold, lasting results.
Prediction, Anomaly Detection By Quadrical AI
Working with the Renewable Industry (right now only Solar), Prediction by Quadrical AI helps companies maximise their returns on solar fields by assisting them in predicting with much higher precision exactly how much energy they will produce. It also points out faults, fissures and failures so they can be fixed. Using AI, they can track degradations to turn unplanned maintenance to planned maintenance. The platform further keeps learning and improving with time, reducing maintenance costs, and allowing for greater Return-on-Assets for the Solar companies.
Key Differentiation Factor: With Digital Twin technology, it aims to build an identical digital twin of the plant to make it an energy-efficient world.
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