Advanced Options in Reports

Dive into the exciting capabilities of Kimola's advanced options in reports, where you'll find robust tools designed to transform your data analysis journey. With these features, you can leverage customized machine learning models tailored to your specific needs or explore pre-built models that perfectly align with different sectors. Imagine being equipped with a powerful array of tools to dissect your data, track KPIs with precision, and glean actionable insights. This guide will show you how to maximize these advanced options, turning complex data into strategic revelations with ease and effectiveness.

Step 1: Log in and Access the Dashboard

Start by logging into your Kimola account and navigating the dashboard.

Step 2: Upload Your Dataset

Use the "Upload your custom dataset" button or drag and drop your spreadsheet into the upload area to load your data.

Step 3: Select Relevant Columns

Identify and select columns crucial for your analysis, such as reviews, URLs, and dates, then choose the "Advanced" option.

Step 4: Enable Auto Classifier

Enable Auto Classifier to leverage topic modeling technology. Then click the "Continue" option.

What is Automatic Classification?

Automatic Classification is an effortless way to dive into text analysis, revealing insights without the burden of intensive training required by traditional models. Its key advantages include:

• Instant Analysis: Seamlessly dissect customer reviews and feedback instantly. This feature lets you forgo the time-consuming preparation, diving directly into the analysis.
• Adaptable Labels: As each dataset presents its unique challenges, dynamic classification tailors its labeling approach, creating relevant and flexible labels that adapt to your data’s specific context. This adaptability uncovers hidden patterns and insights that might otherwise remain obscured.

Step 5: Select Custom AI Model

Decide whether to use your custom AI model alone or with automatic classification. You can also analyze your data by simply selecting your “Custom AI Model” without selecting the automatic classifier in the previous step.

What are AI Models?

Custom AI models offer a dedicated approach to analysis, allowing you to monitor specific KPIs closely. You can combine your custom models with automatic classification or rely solely on your tailored models.

Step 6: Using Pre-trained AI Models

Click on the "Pre-Built Models" button just to the right of the "Custom Models" button. Select the models for your analysis data.

What are Pre-trained AI Models?

For those without a custom model or seeking sector-specific solutions, Kimola’s Gallery provides pre-built models ready for use in any plan.

Step 7: Explore Interpretations

In the interpretation section, dive into insights like Buyer Personas and Usage Motivations. Select these or skip directly.

Step 8: Review Report Preferences 

         8.1: Name Your Report: Provide a descriptive name that captures the essence of your report.

         8.2: Choose Output Language: Select the language for your report’s presentation.

         8.3: Utilize Multi-label Classification: Activate this if your plan includes it, enabling a richer analysis.

         8.4: Create Your Report: Click ‘Create Report’ to launch the analysis and gain strategic insights.

Follow the same procedure as custom models, choosing pre-trained options at the Classifier selection step that best suit your data’s needs.
Kimola’s advanced report options empower you to explore your data deeply and uniquely, enhancing your data journey with insights driven by sophisticated models and adaptable tools. Transform your datasets into compelling, strategic narratives that align with your business goals.