| Product | Market Share (%) |
|---|---|
| KPMG Data & Analytics | 3.3% |
| LTI Data Analytics Services | 1.4% |
| Other | 95.3% |
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.
LTI Data Analytics Services offer comprehensive data-driven insights tailored for businesses seeking to enhance decision-making processes.
LTI Data Analytics Services provide scalable and secure solutions for interpreting complex data sets. Leveraging advanced algorithms and cutting-edge tools, it transforms raw data into actionable intelligence, enabling businesses to optimize their strategies and achieve superior outcomes. The service is designed to seamlessly integrate with existing systems, ensuring a smooth transition and minimal disruption to operations.
What key features define LTI Data Analytics Services?LTI Data Analytics Services are widely implemented across industries like finance, healthcare, and retail. In finance, it aids in risk management and fraud detection. Healthcare utilizes it for patient data analysis to improve treatment outcomes. In retail, it's applied to customer behavior analysis for better inventory management and personalized marketing strategies.
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