We’re pleased to announce the beta release of Codatum Agent, an agent that autonomously performs data analysis, creates Notebooks, and adds charts—all through natural language instructions.

Simply type requests such as “I want to visualize KPIs from this table” or “Analyze last week’s sales trend” in chat, and Codatum Agent will handle everything from SQL generation and execution to Notebook editing.

Even users who have previously spent time operating analytics tools or writing SQL can now move their analysis forward simply by having a conversation.

Two modes for different use cases

• ASK Mode

  • This mode is for when you want to inspect data or Notebook contents, or run queries to check something. It allows you to investigate and validate safely without modifying existing Notebooks.

• Agent Mode

  • This mode is for actually performing actions such as creating or editing Notebooks and adding charts.With a single instruction like “Create a graph of this metric’s trend and add it to the Notebook,” the task can be completed end to end.

Key features

• Operate with natural language

  • You don’t need to write SQL. Simply type something like “Aggregate monthly sales and turn it into a chart,” and the AI will generate and run the query, then add the chart to your Notebook.

• Automatically discovers relevant tables

  • Based on catalog information and table schema details, the agent automatically identifies the tables needed for analysis. You don’t need to manually search for the right tables yourself.

• Flexible context control

  • You can specify a Notebook or catalog as context, allowing the agent to perform analysis with reference to a particular context.

Switch models with AI Profiles based on your use case

You can switch the AI model used depending on the scale of analysis or your accuracy requirements. (Paid option)

Example use cases

• “Create a chart of sales trends by channel using last week’s order data”

  → Automatically identifies the relevant tables, generates and runs SQL, and adds the chart

• “Add a summary of monthly KPIs to this Notebook”

  → Appends content while referencing the existing Notebook

• “Investigate why the conversion rate dropped”

  → Cross-analyzes multiple tables, aggregates findings, and reports the results

• “Create a new Notebook for a sales report”

  → Automatically creates everything from the Notebook structure onward

For setup instructions and detailed usage, please refer to the support documentation.

Service site is here.

Specifications are subject to change without notice.

We hope this helps make your data analysis more effective.

Please give it a try, and we would greatly appreciate any feedback or feature requests you may have.

You can now split XY charts into separate vertical panels per series when multiple series are configured. Each panel uses its own independent Y-axis scale, making it easy to compare metrics with different units or vastly different value ranges side by side.

Highlights

• Independent panel per series: When multiple series are defined, a "Split display by series" option becomes available. Enabling it arranges each series in its own vertical panel with an independent Y-axis, so you can read each metric accurately without overlapping scales.

Use Cases

• Compare trends of revenue (¥) and conversion rate (%) side by side in a single view

• Monitor KPIs across multiple products or channels in aligned panels

• Visualize absolute values alongside ratios where scale differences would otherwise distort the chart

For setup details, see the support documentation.

Specifications are subject to change without notice.

We hope this helps you get more out of your data analysis!
We'd love to hear your thoughts and feedback on this feature.

We've added a new display mode called Grid Layout to the Frame feature. It splits your chart by the values of a selected column and displays multiple small charts side by side. Since each chart shares the same axes and scale, it's easy to spot trends and differences across categories or time periods at a glance.

Highlights

• View up to 16 frames in a grid: Charts are split based on the values of a selected column and displayed in a grid. The number of columns is automatically adjusted to keep the layout as close to square as possible.

• Switch between Grid and Timeline layouts: You can toggle between Grid Layout and Timeline Layout (with playback controls) using the same frame settings. Use Timeline to trace changes over time, or Grid to get a full overview — whichever fits your analysis.

Use cases

• Compare sales trends across regions, stores, or product categories on a single screen

• Evaluate conversion rates side by side by owner or channel

• Spot seasonality by viewing monthly or weekly KPIs across periods

For setup instructions and more details, please refer to the support documentation.

Specifications are subject to change without notice.

We hope this helps take your data analysis further!

We'd love to hear your thoughts and feedback on this feature.

We’ve added a new chart type: Word Cloud. It provides an intuitive way to represent aggregated text data through word size, making it easy to spot frequently appearing keywords and important trends at a glance.

Key features

• Selectable font-size scaling methods

  Choose from three scaling options: linear, square root, and logarithmic. By adjusting the scaling to match your data distribution, you can optimize the layout for better readability.

• Fine-grained control over font size range and spacing

  You can adjust the font size range and spacing between words to suit different use cases.

• Color linked to values

  By default, colors change according to the magnitude of the values, allowing the chart to convey data intensity through both size and color.

• Frame feature supported

  You can switch between word clouds by category or time period, making comparisons easier.

Use cases

• Quickly identify key issue themes by analyzing frequently occurring keywords in inquiries or reviews

• Visually compare access counts or purchase counts by product tag

• Use category distributions from survey responses in presentations for executives

For more details, including setup instructions, please refer to the support documentation.

Specifications are subject to change without notice.

We hope this feature helps support your data analysis.

If you have any feedback or feature requests, we would love to hear from you.

We've added a Frame feature that lets you split and switch chart views by the values of a specific column. You can now explore how data changes over time or compare across categories using a slider or animated playback — making it easier than ever to tell compelling stories with your data. Give it a try!

Key Features

• Slider & Animation Playback: Use the frame controls at the bottom of the chart to manually step through frames or play them as an animation, giving you an intuitive view of how data evolves

• Unified Axis Scaling: To make cross-frame comparisons easier, the Y-axis range, bubble size scale, and heatmap color scale are shared across all frames by default

• Independent Scale Option: You can switch to per-frame independent scaling via Advanced Settings > Frame > Independent Axis Scale

Use Cases

• Animate monthly or quarterly sales trends to highlight growth patterns in presentations

• Step through regional or product category performance comparisons with a slider

• Visualize how correlations shift over time using an animated bubble chart

Supported Chart Types

XY Chart / Circular Chart / XYZ Chart / Hierarchical Chart / Graph Chart (except Drilldown Bar Chart) / Funnel Chart / Waterfall Chart

For setup instructions and more details, please refer to the support documentation.

※ Specifications are subject to change without notice.

We hope this helps take your data analysis to the next level!

We'd love to hear your thoughts and feedback on this feature.

We've added a new Waterfall Chart to help you visually represent step-by-step increases and decreases in your data. You can now intuitively track cumulative changes driven by multiple factors — such as revenue, expenses, and balances — making financial analysis and variance analysis easier than ever. Give it a try!

Key Features

• Step-by-step visualization

  : Increases and decreases at each step are color-coded, giving you an at-a-glance view of the overall flow

• Flexible label configuration

  : Specify a dimension column to freely define the stages and categories you want to analyze

• Cumulative value display

  : Track the running total at each stage, from starting value to final result

Use Cases

• P&L analysis

  : Clearly show the flow from opening balance through revenue, expenses, and other changes to the closing balance

• Cash flow visualization

  : Break down cash inflows and outflows by factor to understand how funds moved over a period

• Budget vs. actuals

  : Highlight the sources of variance step by step to pinpoint the root causes of discrepancies

For setup details and more, please refer to our support documentation.

Specifications are subject to change without notice.

We hope this helps take your data analysis to the next level!
We'd love to hear your feedback and feature requests.

We’ve launched our JavaScript SDK, for integrating Signed Embed into web applications. By covering processes that previously required custom implementation, the SDK enables a more stable embedding experience with significantly less effort. Give it a try!

Key features

• Automatic token refresh: Automatically fetches a new token before the current one expires, preventing errors while users are interacting with the embedded content.

• Loading state control: Handles loading state UI behavior to reduce implementation overhead.

• Less effort, more stability: Offloads common logic to the SDK so you can keep your codebase smaller while ensuring reliable behavior.

Signed Embed is an optional add-on for the Enterprise plan.

For setup instructions and details, please refer to our support documentation.

Specifications are subject to change without notice.

We hope this helps support your data analysis workflows. If you have any feedback or feature requests, we’d love to hear from you.

We've added frame functionality and heatmap display to graph charts. You can now intuitively visualize time-series changes and network importance, making comparative data analysis easier than ever. Please give it a try!

Key Features

• Frame feature: Split charts by specified column values and compare changes using a slider

• Autoplay: Continuously play through frames to animate changes over time

• Heatmap display: Change node colors based on weight to visually represent importance

• Layout improvements: Node positions remain fixed across frames for better comparison visibility

Use Cases

• Website transition analysis: Compare page transition patterns month by month to understand changes in user behavior

• Supply chain visualization: Track changes in logistics networks and identify when bottlenecks occur

• Social network analysis: Identify influential individuals (nodes) using heatmaps and observe community changes over time

For configuration details, please refer to our support documentation.

*Specifications are subject to change without notice.

We hope this helps with your data analysis!

If you have any feedback or feature requests, please feel free to share.

We're excited to announce new auxiliary line features for charts! Use statistical lines, trendlines, and reference lines to intuitively analyze data trends and manage goals. Give it a try!

Key Features

• Statistical Lines

  : Display average, median, maximum, and minimum values as dashed lines for each series

• Trendlines

  : Support for 6 types including linear regression, moving average, and polynomial

• Reference Lines

  : Add lines or bands to mark target values and acceptable ranges at any position

• Available for XY Charts and XYZ Charts

• Trendlines display equations and R² (coefficient of determination)

Use Cases

• KPI Dashboards

  : Overlay sales targets (reference lines), actual averages (statistical lines), and forecasted trends (trendlines)

• Quality Control

  : Display acceptable ranges (reference lines) and statistical values (avg/max/min) to instantly detect anomalies in product data

• Time Series Analysis

  : Add moving averages to monthly data to identify underlying trends beyond short-term fluctuations

• Performance Monitoring

  : Display danger zones (reference lines) and average values (statistical lines) for system metrics

For setup instructions and details, please refer to our support documentation.

※Specifications are subject to change without notice.

We'd love to hear your feedback and suggestions about our chart features!

Analyze hierarchical data more deeply! Transform date fields to create time-based hierarchies, then intuitively drill down with bar charts. Give it a try!

Key Features

• Date Field Transformation: Convert dates to hierarchical units like year, month, week

  • Truncate: Round down to specified units (e.g., 2025-01-15 → 2025-01-01)

  • Extract: Extract specific components (e.g., 2025-01-15 → 15)

• Bar Chart (Drill-Down): Display hierarchical data as bar charts and click to drill down

  • Breadcrumb navigation shows current position for easy navigation back

  • Smooth animated transitions

Use Cases

• Progressive Time Series Analysis

  : Drill down through Year → Month → Week hierarchy to instantly examine specific periods

• Intra-Month Pattern Analysis

  : Extract DAY from dates to aggregate same days across multiple months, like post-payday sales trends

• Regional × Temporal Cross-Analysis

  : Combine Region → Prefecture with Year → Month for multidimensional analysis

• Product Category Trends

  : Drill down Major → Minor category hierarchy by month to identify trends

For setup instructions and details, please refer to our support documentation.

※Specifications are subject to change without notice.

We'd love to hear your feedback and suggestions about our chart features!