Hello community! 👋
The new Huwise experience offers many possibilities to help your users visualize and explore your data. To help you choose the right tool depending on your business needs, here is a complete overview—from no-code to custom applications—followed by our usage recommendations.
🗺️ The options matrix: from simplest to most advanced
| Level | Feature | What it enables | Who uses it? |
|---|---|---|---|
| 1: Automatic | Dataset preview (Data/Schema/Map tabs), and soon in the new “Explore” | The user generates a table, chart, or map fully independently from the dataset | Data consumer |
| 2: Conversational | Huwy conversational agent | The user asks a question in natural language and gets an instant, tailored visualization | Data consumer |
| 3: No-code, per asset | Custom view | The data producer manually creates charts (bars, lines, pie…), maps, or KPI widgets attached to a dataset—customizable and embeddable on the asset page—to simplify access to the data asset | Catalog curator / Data owner |
| 4: No-code, pages | Page Studio | The data producer assembles blocks (maps, KPIs, charts, tables) to build dashboards or chapter-based data stories that guide the user in understanding the asset | Catalog curator / Admin |
| 5: Code | Custom page editor | The Solutions team builds tailor-made pages using directives (ods-chart, ods-map, ods-aggregation, ods-timer…) for fine-grained, animated, or combined visualizations | Professional services & Solutions team |
| 6: Advanced / Custom App | SDK + Portal API + embedded widgets | The Solutions team creates custom applications integrated into the portal (or exposed elsewhere), consuming data via API | Professional services & Solutions team |
🤔 Usage recommendations: how to choose the right tool
To guide your choice, we recommend following the logic “simple entry point → advanced exploration.”
1. Visualizations as simple entry points to your data assets
🎯 Goal: provide an immediate glimpse of an asset’s value—without any effort—so you can capture attention. A simple visualization answers “Is this data relevant to me?” and should never require more than 5 seconds to read.
- 📊 Infrequently consulted dataset: use a chart or map custom view (one key visual). One well-chosen chart shows the dataset’s value at a glance, even before reading metadata.
- 🗺️ Geographic dataset: use a map-type custom view. A map is immediately more meaningful than a table for this kind of data.
- 🔢 Homepage or thematic catalog: use a KPI/indicator custom view. Key figures build confidence in reliability before deeper exploration.
- 📈 Onboarding a new persona (HR, Finance): use a thematic dashboard (Page Studio) to group 3–4 relevant visualizations and avoid users starting from scratch.
2. AI agents for exploration and complex dashboards
🎯 Goal: answer ad hoc, specific, or multi-criteria questions that were not anticipated.
- 💬 A precise, evolving business question: use Huwy to generate on-demand visualizations, with no development and no waiting.
- 💬 Quickly understanding an unfamiliar dataset: use Huwy to ask questions in natural language and get contextualized answers.
- 💬 A non-technical user looking for data without knowing where to search: use Huwy to facilitate exploration across the whole catalog.
❌ Avoid: don’t use an AI agent for stable, recurring reporting (monthly, fixed KPI tracking). A static visual via a custom view or Page Studio is more reliable and faster to load.
🎓 In short: the key nuance to remember
Ultimately, keep in mind the real challenge: capturing scarce professional attention. Your users are already pulled in every direction; if they don’t understand within a few seconds the value and use of a dataset, they move on. Your role is therefore to reduce cognitive load as much as possible, by presenting information as clearly as possible, with the right level of guidance, depending on the available data and the needs you’ve identified.
For your journeys, remember how these tools fit together:
- 🔎 Explore = the data consumer builds visuals independently.
- 🗺️ Custom views = the data producer creates a simple view to make access easier for the consumer.
- 💬 Huwy = the consumer explores data in natural language via chat.
- 📈 Page Studio = the data producer creates a more detailed view to guide the consumer in understanding the asset.
- 🧑💻 Code editor = the admin or Solutions team creates a custom app for more complex interactions.