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EY Big Data and Analytics vs Infosys Data Analytics comparison

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Views
217
Comparisons
189
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Overview

Used the right way, data and augmented intelligence can create competitive advantage, re-engineer processes and enhance risk controls.

Technology-savvy organizations, as well as “digital non-natives,” can benefit from analytics and augmented intelligence across all disciplines by using an infusion strategy.

Infusion means that by embedding analytics and artificial intelligence (AI) into the very core of your business processes, we can help you drive capital allocation strategies and investment decisions, create an end-to-end digital audit, generate new revenue opportunities, manage risk, conduct investigations, measure financial and nonfinancial performance, capture tax big data to inform decisions, increase customer satisfaction, and improve the customer experience.

Take a look at our insights on how combining issues-led and technology-enabled approaches helps you get to the heart of how organizations can thrive in the digital age.

Data is the life and blood of an enterprise that aspires to be digital. It is that strategic asset that helps 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. And when this is enabled in a Do-it-Yourself culture, everyone, at any given time, is able to move quickly, in the right direction to defend, differentiate and even reimagine the business.

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. Thereon we chart the roadmap to incrementally build the capabilities they need to deliver on the blueprint.

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Sample Customers
Information Not Available
BMG, USG Boral
Top Industries
VISITORS READING REVIEWS
Energy/Utilities Company27%
Computer Software Company16%
Comms Service Provider9%
Media Company8%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business14%
Midsize Enterprise14%
Large Enterprise72%
No Data Available

EY Big Data and Analytics is ranked 7th in Data and Analytics Service Providers while Infosys Data Analytics is ranked 12th in Data and Analytics Service Providers. EY Big Data and Analytics is rated 0.0, while Infosys Data Analytics is rated 0.0. On the other hand, EY Big Data and Analytics is most compared with Genpact Augmented Intelligence, Fractal Analytics Eugenie.ai, LTI Data & Analytics and Cognizant AI & Analytics, whereas Infosys Data Analytics is most compared with EXL Analytics, Palantir Foundry and KPMG Data & Analytics.

See our list of best Data and Analytics Service Providers vendors.

We monitor all Data and Analytics Service Providers reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.