Intuit, one of the financial software providers gazes at digital transformation as an excellent and must-have framework for attaining its business goals. Digital transformation is no longer a ‘nice to have’ thing; instead, it is a ‘must-have’ for any successful organization. Companies that are transforming digitally showcased continuous growth in the market compared to other organizations. This article is about Intuit’s approach towards data analytics, cloud computing, and AI for exploiting digital transformation.
Intuit is persistently re-inventing their approach in cleansing and harmonizing data through a transformative data engine. Their sophisticated data structural design intends to build an end-to-end experience and enable their employees to serve customers superior across the company. Intuit breaks down data silos and merge all these data to create a considerable impact, deliver insights, and greater value. Data analytics is the core of their approach towards binding the digital transformation. Data architecture is a critical component that enables us to unlock our potential of being an AI-driven expert platform.
To automate tasks, make solutions, and to spawn insights, Intuit makes use of the supremacy of the integration of machine learning, artificial intelligence, knowledge engineering, and natural language processing. To find outcome-driven solutions and knowledge, it recognizes and analyzes the patterns across customers’ data. Every year Intuit receives millions of data returns which contain a rich data set that can characterize customers’ financial ability. Intuit try their best to flawlessly meet the customer needs by digitally programmed business logic and rules to transform as well as render the best service for the customers. With their knowledge engine, they can craft personalized customer experience exclusively tailored for customers’ situations without sacrificing precision or break compliance needs, by asking the minimum set of missing info.
Intuit’s team in India built a tool that is capable to aggregate product reviews and articles on the web to gain product insights. AI and ML are used to identify topics that are discussed frequently during a specific time of interest. This tool facilitates product owners to derive insights that are difficult to do manually, from a large number of product reviews and articles available. Intuit also makes use of the flexibility of the public cloud to accelerate innovation and drive solutions.
They are using Kafka and Kubernetes, native cloud technologies to build a modern developer platform that will offer continuous integration, delivery, and operations to speed up productivity. Also, they have transferred around 400 submissions with highly sensitive information and complex frameworks which is a yardstick for any public corporation. By powering open source solutions for instance Argo CD for Kubernetes, they are contributing to the community and this is how Intuit is one of the largest and first financial platform companies says Jyoti Ahuja, Director of Engineering, Intuit.
