Advanced Analytics

Technology

Artificial intelligence is changing the world., incorporating these tools in all decision-making processes is going to be key to projecting ourselves into the future. At RSM Chile we have a highly experienced team that will help you incorporate these technologies in an in a scalable way and according to the reality of your company.

Advanced Analytics is the analysis of data using advanced techniques, is beyond traditional (BI), to discover deeper insights, make anticipations or generate recommendations. Advanced analytical techniques such as natural language understanding NPL/NLU, machine learning, forecasting, visualization, network/graph analysis, clusterization, multivariate statistics, machine learning and deep learning.

Predictive Analysis and Forecasting

It is an advanced analytics approach that uses mathematical and statistical models to predict future events based on historical patterns and current data. This service can be especially useful for companies that need to plan their production or inventory, or for those looking to anticipate the demand for their products or services.

Anomaly and Fraud Detection

This involves identifying unusual patterns or behaviors in data that may indicate the presence of fraud or anomalies in an organization’s processes. This service can help companies across different industries detect fraudulent situations, for example in the insurance or banking sectors, where fraud cases occur frequently.

Customer Classification and Segmentation

This enables dividing customers into more specific groups based on their behaviors, needs, or characteristics, in order to offer them more personalized products or services. This service can be especially useful for e-commerce, retail, or financial services companies that want to improve their offerings for their customers.

Process Optimization and Decision-Making

This service involves applying advanced data analysis techniques to optimize processes and improve decision-making within the company. This type of analysis can help enhance production efficiency, reduce costs, and increase the quality of products or services.

Recommendation and Personalization Models

Recommendation models are algorithms that analyze customer behavior and preferences to deliver personalized recommendations. This service can be especially useful for e-commerce companies seeking to increase sales and enhance the user experience.

Sentiment and Social Media Opinion Analysis

This consists of analyzing and classifying user comments and opinions on social media to understand the perception they have of the company and its products or services. This type of analysis can help businesses better understand their customers, improve customer service, and make data-driven decisions.

Text and Natural Language Analysis (NLP/NLU)

This service uses advanced natural language processing techniques to analyze large volumes of text and extract relevant information. Text and natural language analysis can be applied across a wide range of sectors, from customer service to market research, and can help organizations gain a better understanding of their customers’ and users’ needs and preferences.

Network and Graph Analysis

This service uses advanced data analysis techniques to visualize and analyze complex interaction networks. Network and graph analysis can be applied across a wide range of sectors, from academic research to cybersecurity, and can help organizations better understand relationships within data and identify important patterns.

Simulations and What-If Analysis

This service uses advanced data analysis techniques to create models that simulate different scenarios and assess how they might impact organizational outcomes. Simulations and what-if analysis can be applied across a wide range of sectors, from logistics to risk management, and can help organizations make more informed decisions and better prepare for unforeseen situations.

Data Visualization and Interactive Dashboards

This service uses advanced data visualization techniques to create interactive dashboards that allow users to intuitively explore and analyze organizational data. Data visualization and interactive dashboards can be applied across a wide range of sectors, from marketing to human resources management, and can help organizations make more informed decisions and better communicate results to stakeholders.

Next-Generation Language Models (LLM)

Incorporating next-generation language models (LLM) into organizational processes: Next-generation language models are a powerful tool for advanced data analytics and natural language processing. By integrating LLMs into organizational processes, it is possible to achieve more accurate and relevant results in tasks such as text classification, sentiment detection, text generation, and machine translation.

Our advanced data analytics consulting services can help your organization make the most of next-generation language models — from selecting and training the right model to implementation and evaluation. Our team of advanced data analytics experts will work closely with yours to identify the areas of your organization that can benefit from LLMs, providing the necessary support and training for effective implementation.

By incorporating LLMs into your organizational processes, you will be able to enhance efficiency, accuracy, and the quality of communication with customers and users, which can ultimately lead to improved customer satisfaction, increased revenue, and greater organizational profitability.