Capgemini Insights and Data vs KPMG Data & Analytics comparison

Actionable insights and AI are key to thriving in the digital era. Organizations see data as their most powerful asset to create superior customer experiences, perfectly optimized operations and new, disruptive business propositions. We work with our clients to create and deliver capabilities and solutions that drive impact with data, covering data engineering and information governance, next to data science, business analysis and much more. Through insights, algorithms and ‘AI everywhere’ we equip them with everything they need to differentiate with data.

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.