Infosys Data Analytics vs KPMG Data & Analytics comparison

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.

Terms such as Machine Learning, Analytics and Big Data have become a part of the commonly used language of the Advanced Data Analysis field, or Analytics in short. This field has received attention and acknowledgment in recent years and become recognized as a valuable asset for every organization in any sector.

Analytics have changed the way we approach data in organizations. In the past, organizational information was replicated and transformed to match a format of the organization’s database. In order to access and analyze that information users created queries, however, not all organizational data could be processed that way since the database only worked with structured data.

Nowadays, we know that the numbers and types of data sources available to us are enormous, and we must take the internal and external information into consideration in order to get the full picture.

The Data & Analytics practice provides holistic solutions by collecting ALL available data and directing it towards interesting issues by raising anomalies and trends in the data.