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KPMG Data & Analytics vs McKinsey Analytics comparison

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KPMG Data and Analytics
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McKinsey
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Overview

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.

McKinsey Analytics helps clients identify and capture the most value and meaningful insights from data, and turn them into competitive advantages... Once the tools and models are implemented, we focus on building and transferring capabilities and skills to ensure that analytics becomes a sustained competitive advantage.

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KPMG Data & Analytics is ranked 13th in Data and Analytics Service Providers while McKinsey Analytics is ranked 18th in Data and Analytics Service Providers. KPMG Data & Analytics is rated 0.0, while McKinsey Analytics is rated 0.0. On the other hand, KPMG Data & Analytics is most compared with Infosys Data Analytics and Accenture Applied Intelligence, whereas McKinsey Analytics is most compared with Fractal Analytics Eugenie.ai and Deloitte AI and Analytics.

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

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