HCL Digital & Analytics Services vs KPMG Data & Analytics comparison

What does digital mean to you? Is it a great website or an engaging app? Is it a powerful, modular, and open digital engagement platform that allows you to drive agility and speed? Or is it an opportunity to foster business transformation for Digital Age enterprises? We ask our customers these questions every day. At HCL’s Digital & Analytics division, we help design and build key platform components of customers’ Digital-Technology-Footprint ™ to power their Digital transformation journey.

After building powerful, immersive, as well as experiential platforms and infrastructure for more than 50 global customers, we understand that digital is a journey into fundamental business transformation that begins with reimagining existing business processes and user experiences. Our team of design-thinkers & industry-process experts help our customers break down barriers by combining deep knowledge of business processes with user-centered design principles – to truly visualize the potential of digital technology.

But what makes our process unique is that we are never ideating in a bubble. Digital Business Architectures, Technology platforms and Data Innovation makes business transformation a reality. HCL’s Digital & Analytics services brings its entire gamut of expertise – from consulting to implementation – to ensure that digital journeys can enable an end-to-end IT its transformation.

We believe that every enterprise has a unique DNA. We help amplify this uniqueness, through the power of digital technologies and analytics.

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.