Advance Analytics – Do You know

Cancel Execution

"Ability to Cancel Insight Execution." With this feature, users gain greater control over their insights by allowing them to cancel an ongoing execution at any stage.

Key Benefits to the User:

Enhanced control over insight execution.
Improved efficiency for last-minute adjustments.
Reduced execution time for insights requiring modifications.

Key Areas of Application:

Streamlined insight execution for data professionals.
Increased responsiveness to changing analytical needs.
Improved user experience in managing insights.

Hindi Text Support

Feature Description and Working: "Hindi Text Support." This feature enables users to harness the power of text analytics for datasets containing Hindi text, opening new doors for linguistic analysis and insights.

With Hindi Text Support, users can upload datasets that include Hindi text content and perform various text analytics operations.

Key Benefits to the User:

Comprehensive text analytics for datasets with Hindi content.
Enhanced understanding of sentiment, topics, and classification in Hindi language.
Data-driven insights and decision-making for Hindi text data.
Seamless integration with Lumenore's existing text analytics capabilities.

Key Areas of Application:

Social media sentiment analysis in Hindi.
Market research and trend identification from Hindi text sources.
Customer support optimization for Hindi-speaking customers.
Content creation and optimization in Hindi language.

Sentiment Threshold

Enhanced Sentiment Analysis in Do You Know: Introducing Manual Sentiment Threshold

This feature empowers users to fine-tune and customize sentiment analysis results by setting their desired sentiment sensitivity level.

With the new Manual Sentiment Threshold, users can adjust the sentiment threshold effortlessly using a user-friendly slider.

Key Benefits to the User:

Customized Sentiment Analysis: Tailor sentiment analysis to your specific goals and requirements.
Increased Precision: Fine-tune sentiment sensitivity for more accurate sentiment results.
Enhanced Insights: Capture subtle nuances in sentiment within text data.

Key Areas of Application:

Social Media Monitoring: Gain deeper insights into customer sentiment on social platforms.
Customer Feedback Analysis: Identify and address specific sentiments in customer feedback.
Market Research: Extract nuanced insights from surveys, reviews, and open-ended responses.

Insights Sharing

The ability to share insights and machine learning models seamlessly within your organization. With this new feature, users can foster collaboration and knowledge sharing, making data-driven decision-making more accessible and efficient.

Key Benefits to the User:

Enhanced Collaboration: Foster a culture of data-driven decision-making by sharing valuable insights and models.
Time Efficiency: Eliminate the need for redundant analysis by sharing pre-built insights and models.
Knowledge Sharing: Accelerate the learning curve by sharing best practices and successful analytics approaches.

Key Areas of Application:

Cross-Functional Collaboration: Facilitate collaboration between different departments and teams.
Knowledge Transfer: Share data analysis expertise and valuable insights within your organization.
Streamlined Decision-Making: Ensure decision-makers have access to the latest insights and models.

Custom Time Selection

This feature empowers users to forecast their data with precision by selecting a custom time range based on their preferred time frequency.

With the new Custom Time Selection, users can effortlessly set the time range for their forecasts according to their unique.

Key Benefits to the User:

Precise Forecasting: Customize your forecasts by selecting the exact time period and frequency.
Improved Planning: Make data-driven decisions with forecasts tailored to your specific time-related needs.
Efficient Resource Allocation: Optimize resource allocation by accurately predicting demand and trends.

Key Areas of Application:

Demand Forecasting: Enhance supply chain and inventory management.
Financial Planning: Make informed financial decisions with accurate revenue and budget forecasts.
Operational Efficiency: Optimize resource allocation and planning based on precise forecasts.

Multi Class Classification

This feature significantly expands your modeling possibilities by allowing you to create classification models for columns with up to 10 distinct classes.

With Multi-Class Classification, users can leverage the predictive power of classification models for columns with multiple distinct values.

Key Benefits to the User:

Expanded Modeling Capabilities: Create classification models for columns with multiple distinct classes.
Improved Decision-Making: Gain insights and predictions for diverse categorical data.
Enhanced Data Utilization: Unlock the potential of diverse datasets for predictive analytics.

Key Areas of Application:

Retail and E-Commerce: Predict customer behavior and preferences for diverse product categories.
HR and Recruitment: Efficiently categorize job applicants based on various criteria.
Manufacturing and Quality Control: Predict product quality grades based on multiple attributes.