Deloitte AI and Analytics vs KPMG Data & Analytics comparison

Reveal smarter insights. Achieve stronger outcomes.
Achieving your business outcomes, whether a small-scale program or an enterprise-wide initiative, demands ever-smarter insights—delivered faster than ever before. Doing that in today's complex, connected world requires the ability to combine a high-performance blend of humans with machines, automation with intelligence, and business analytics with data science. Welcome to the Age of With, where Deloitte translates the science of analytics—through our services, solutions, and capabilities—into reality for your business.

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.