Career3A
Team Analysis
Career tools.
Career3A can quickly test your “Behavioral style”, “Work motivation” and “Core skills”. Career3A lists the most suitable occupations based on your personality traits to help you think about your career development direction. You can invite friends and colleagues to form a team, and use the “Team Analysis” tool to query the team’s test results. By learning more about yourself and the people around you, you can better build relationships with friends and colleagues with different personalities.
Behavioral Style
You can use the ranking results to understand your personality traits and preferences.
Work Motivation
You can use the ranking results to understand what drives your career.
Core Skills
You can use the ranking results to understand which core skills you value most in the workplace.
Cluster2A
Customer Segmentation
Cluster analysis tools.
For most people, it is difficult to obtain the information they need directly from raw data. Machine learning can transform disordered data into useful information. Clustering is an unsupervised machine learning technique that groups similar objects into the same cluster. Cluster2A combines the two most popular clustering algorithms, K-means and DBSCAN, to help you discover interesting patterns in the data.
For example, Cluster2A can perform cluster analysis based on customer consumption behavior and provide results for customer segmentation. Customer segmentation is the use of specific characteristics to identify and organize customers. These characteristics can be demographic, behavioral/psychological characteristics and geographic location. Customer segmentation can identify customers and provide products and services tailored to their needs. This personalization will provide you with a competitive advantage, increase customer conversion rates and brand loyalty.
Cluster2A
Customer Segmentation
Allocation3M
Resource Allocation
Allocation optimizer.
Machine learning and data analytics are increasingly used in project management to improve productivity. In project management, the efficient allocation of resources helps maximize the impact of project resources. Allocation3M uses three classical allocation models to optimize resource allocation results from different perspectives. Resources can be time, manpower, products, materials, budget, etc.
For example, you could allocate resources based on the monthly sales performance of 50 European retail stores over the past three years. The Mean-Variance model uses the Monte Carlo method to find a set of allocation weights with the best growth rate.
For example, you can allocate resources based on the monthly raw material prices of 20 suppliers in Asia Pacific over the past year. The Risk-Parity model uses Newton’s method to find a set of allocation weights with equal volatility.
Mean-Variance Model
The Mean-Variance model optimizes allocation results based on the growth rate and volatility of the allocation object.
Black–Litterman Model
The Black-Litterman model adds growth rate predictions to the Mean-Variance model to optimize the allocation results.
Risk-Parity Model
The Risk-Parity model seeks the same volatility weight for each allocation object to optimize allocation results.
Allocation3M
Resource Allocation
Macro3M
Economic Analysis
Macro analysis tools.
Macro3M uses mathematical statistics and machine learning models to analyze the impact of U.S. economic indicators on the market, find the rules and build a generalized model. Through the model, you can enter specific economic indicator data to predict the market performance next month. You can use the predicted value of the model to help you analyze the impact of economic indicators on the market. In the long run, the market always fluctuates around the economy and tends to the same direction.
Economic indicators are statistics about economic activity. The dataset analyzed by Macro3M contains 14 U.S. economic indicators from 1967 to 2022, 4 of which are highly correlated with the U.S. market. The 4 indicators are “M2 Money Supply”, “Producer Price Index”, “Industrial Production Index” and “Nonfarm Payrolls”. These indicators help analyze the overall performance of the economy.
Macro3M uses three “Deep learning algorithms” to build three generalization models. The evaluation metric for these models is to minimize the mean absolute error (MAE) between the predicted value and the target value. Macro3M has long tracked the MAE performance of nine “Machine learning models” and the final results show that “Deep learning models” outperform traditional “Machine learning models”.
MLP Model
MLP is very flexible and can usually be used to learn the mapping from input to output.
RNN Model
RNN mainly deals with the prediction of sequence or time series data.
LSTM Model
LSTM is a special kind of RNN that can learn long-term dependencies between data.Macro3M
Economic Analysis
SalesTSK
Sales Management
Analyze your sales core.
One of the best strategies for achieving good sales performance is to establish clear and appropriate sales steps in the sales process. SalesTSK combines time management and sales management knowledge to guide you to focus your limited time and energy on the sales process. You’ll feel better and more productive when your focus is no longer on results but on the sales process.
SalesTSK can calculate your sales metrics based on your sales data. Sales metrics include deal size, sales cycle, and success rate. You can look for bigger deals, shorter sales cycles and higher success rates to improve your sales performance.
Time Management
Prioritize your sales activities according to the urgency and importance of each activity.
Sales Management
Create a clear and visual sales process that helps you convert prospects into customers.
Key Metrics
Improve your sales performance by analyzing your sales metrics.
SalesTSK
Sales Management
