Strategy & Profiling
Smart organizations are using data analytics and sophisticated data-driven tools to focus on the future, rather than on the past. They gain insights from the data they collect on their customers. But perhaps, more importantly, they use that data to create marketing strategies that drive business growth.
Click here to see one realisation of Data driven project : Analysis of Ta Feng Grocery.The dataset contains a Chinese grocery store transaction data from November 2000 to February 2001.
Dashboard & Reporting
A Real-time dashboard monitoring is a tool that gives business leaders valuable information, and it provides a quick outlook of all the most valuable numbers, which allows business leaders to perform an accurate business analysis. It is the most efficient way to track multiple data sources because it provides a central location for businesses to monitor and analyze performance.
Click here to visualize a dashboard created using Tableau Desktop : Supply-Chain-project, which illustrates the product varieties and the reserves of each product for the postal service in France
Classification and Scoring
Scoring and classification algorithms are part of the fundamental in data science to solve business problems like to predict the asset price direction and to build an investment portfolio.
Click here to see basic way to predict the asset price direction of AAPL stock price using python notebook. We present a python program that predicts the price direction of stocks using different classification algorithms. We focus also on natural language processing (NLP) to analyze financial documents such as 10-k financial reports to forecast stock movements. 10-k forms are annual reports filed by companies to provide a comprehensive summary of their financial performance. Through sentiment analysis, investors can quickly understand if the tone of the report is positive, negative, or litigious etc. The overall sentiment can then be used to help investors decide if they should invest in the company.
