Work with thought leaders and academic experts in analytics

Companies can benefit from collaborating with an academic researcher in Analytics in several ways. These experts can provide valuable insights and help companies make data-driven decisions. They can analyze large datasets to identify patterns and trends, uncover hidden insights, and provide recommendations for improving business processes. Academic researchers can also develop predictive models and algorithms to optimize operations and enhance customer experiences. Additionally, they can assist in designing experiments and conducting research studies to test hypotheses and validate strategies. Overall, working with an Analytics researcher can help companies gain a competitive edge and achieve their business goals.

Researchers on NotedSource with backgrounds in analytics include Jim Samuel, Edwin Love, Michael Levin, and David Anderson.

Jim Samuel

Associate Professor at Rutgers University
Most Relevant Research Interests
Other Research Interests (21)
Artificial Intelligence
Machine Learning
NLP NLU NLG Behavioral Finance
Pharmacology (medical)
And 16 more
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

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Example analytics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on analytics?

Customer Segmentation for E-commerce

An Analytics researcher can analyze customer data for an e-commerce company to identify distinct segments based on demographics, behavior, and preferences. This segmentation can help the company personalize marketing campaigns, improve product recommendations, and enhance customer experiences.

Demand Forecasting for Retail

By analyzing historical sales data and external factors like seasonality and promotions, an Analytics researcher can develop accurate demand forecasting models for a retail company. This can help the company optimize inventory management, reduce stockouts, and improve supply chain efficiency.

Fraud Detection for Financial Institutions

An Analytics researcher can develop advanced fraud detection algorithms for financial institutions by analyzing transaction data and identifying patterns indicative of fraudulent activities. This can help the institutions prevent financial losses and protect their customers from fraudulent transactions.

Predictive Maintenance for Manufacturing

By analyzing sensor data from manufacturing equipment, an Analytics researcher can develop predictive maintenance models that can identify potential equipment failures before they occur. This can help manufacturing companies reduce downtime, optimize maintenance schedules, and improve overall operational efficiency.

Churn Prediction for Telecom

An Analytics researcher can analyze customer data for a telecom company to develop churn prediction models. These models can identify customers at risk of churn and enable the company to take proactive measures to retain them, such as targeted retention offers or personalized customer engagement strategies.