The meeting starts with a familiar chart. Revenue is up. Margin has moved. Performance differs between locations. Then someone asks the question the dashboard was never designed to answer.
“Where did the change come from, which parts of the business are most affected, and what should we investigate next?”
Answering that question takes more than access to a database. It takes an understanding of what the records mean, how they connect, and which calculations can support a decision.
Aries Insight brings that understanding into the analytical workflow. It combines automated source knowledge, multilingual conversation, query-based analysis, and visual presentation in one business intelligence workspace.
Teams can ask in their working language, explore the evidence behind an answer, and turn useful findings into analysis that others can review and share.
Business intelligence starts with understanding
A database column does not explain its own meaning. An amount may represent a payment, an outstanding balance, or a transaction value. A date might record when an order was placed, fulfilled, or entered into a system.
These distinctions affect the answer. Counting rows is different from counting customers. Adding balances across dates is different from adding sales. Joining tables without understanding their relationship can inflate a result.
Aries Insight addresses this foundation through source discovery, field profiling, relationship measurement, and semantic interpretation. It builds an analytical knowledge layer: a reusable account of what the connected data represents and how it can be used.
A question asked naturally. An answer grounded in data. A decision others can understand.
Connect databases and business files
Insight supports sources including SQL Server, Oracle, PostgreSQL, MySQL, MariaDB, and BigQuery, alongside business files such as CSV, Excel, and SPSS.
Files can become analytical sources and go through the same understanding process. Conversation attachments also support focused investigation, while documents provide context for the discussion.
The objective is continuity: relevant business information becomes part of an analytical workspace where its structure, meaning, and access can be understood. Connector availability depends on the current package and configuration.
What Aries Insight brings to the business
| Capability | What it does | Why it matters |
|---|---|---|
| Source understanding | Discovers structures, profiles fields, measures relationships, and organizes analytical knowledge. | Reduces repeated discovery work and creates a reusable foundation for questions. |
| Conversational analysis | Supports natural-language business questions and follow-up exploration. | Lets users develop an investigation as new questions emerge. |
| Multilingual experience | Enables analytical conversations and presentation across languages. | Helps teams participate in the language they use to work and make decisions. |
| Query-based answers | Uses bounded, read-only queries to calculate supported analytical results. | Connects the answer to the underlying data and calculation. |
| Visible provenance | Can show field bindings, measures, filters, and SQL behind an answer. | Helps teams inspect the basis of important findings. |
| Visual analytics | Presents analysis through tables, charts, interactive filters, and dashboards. | Turns detailed results into views that are easier to interpret and discuss. |
| Collaborative workspaces | Provides personal, team, and organization spaces, publishing, versions, and comments. | Helps useful analysis become shared organizational knowledge. |
| Controlled access | Applies data-source, table, and column permissions with authorization auditing. | Keeps exploration within the access granted to each user. |
Explore the journey from data to business understanding
Select a business question and a stage below to explore how the analytical workflow fits together.
Your working language belongs in the conversation
Business intelligence serves people across departments, countries, and markets. Their expertise should be the starting point for participation, and the analytical experience should make room for the languages they use.
Aries Insight is a multilingual analytics platform. Users can ask business questions and explore explanations in their preferred language, bringing the conversation closer to the way they already discuss performance.
A regional manager can investigate a local issue, a finance team can examine the same business measures, and leadership can bring the findings into a shared review.
The value is wider participation with a clear analytical basis. Metric definitions, reporting periods, units, and source evidence remain central to interpreting the result across teams.
Let the next question build on the last
A finance leader might begin with margin by business unit, then ask for a customer-segment breakdown or a different reporting period. An operations manager might start with location performance and narrow the investigation to a specific team.
Insight supports this developing conversation through calculations and visual answers, using its source knowledge to interpret the request and plan the analysis. The analytical scope follows the connected data, evidenced relationships, and permissions available.
Keep the evidence close to the explanation
A fluent explanation is useful only when its analytical basis can be examined.
Aries Insight uses bounded, read-only queries to calculate results. Its provenance view can expose the measures, conditions, field bindings, and SQL used to construct an answer.
That gives reviewers practical questions to work through: Was the correct period selected? Which definition was applied? What was included or excluded?
Calculation and interpretation both need attention. A model can misunderstand a question or describe a result incorrectly. Visible provenance helps teams review important findings and identify where clarification is needed.
Make the finding clear enough to act on
Some findings are clearest in a short explanation. Others need a table, trend line, distribution, or comparison chart.
Insight supports a broad range of visual formats, including bar, line, waterfall, scatter, histogram, KPI, and table views. Filters and presentation controls let users examine the result from different angles.
Dashboards give related findings a shared home. Personal, team, and organization spaces let an investigation progress from private exploration to collaborative review. Publishing, versions, and comments help preserve the discussion around the evidence.
PDF, PowerPoint, CSV, and interactive HTML exports are available where enabled, helping teams carry analysis into meetings and other business discussions.
Give each team a useful starting question
Finance: Compare revenue and margin across business units and reporting periods, with the calculation basis available for review.
Operations: Examine differences between locations or teams and identify where further investigation is warranted.
Leadership: Explore changes in performance, ask follow-up questions, and assemble findings for management discussions.
International teams: Investigate performance in their preferred language and bring the findings into cross-market discussions, with consistent definitions, periods, and units.
Data teams: Reuse source understanding and reduce repetitive discovery work while maintaining responsibility for access, definitions, and data quality.
Each use case depends on the information the source actually contains. A measured pattern can guide an investigation; proving its cause may require additional evidence.
Govern exploration as a shared business capability
Self-service analysis works best within clear boundaries.
Aries Insight provides data-source, table, and column access rules, supported by authorization checks and auditing. Workspace roles and publishing controls help organizations manage how analysis is developed and shared.
This gives business users room to explore while keeping access and review part of the workflow.
Evaluate the decisions you want to improve
Start with a recurring business question, an ad hoc request that regularly needs analyst support, and an area of data your team has not fully explored.
Follow each question through preparation, calculation, review, and sharing. In a multilingual organization, involve the people and working languages that will use the platform. Assess whether the process helps them reach a useful answer and understand its basis.
Aries Insight brings source understanding, multilingual exploration, visual analysis, and collaboration into a connected experience. Its purpose is to help more people put enterprise data to work in the decisions they are responsible for.
Your next business question starts here.
Bring the data, the decision, and the language your team works in. Discover how Aries Insight connects business questions with analysis that can be examined, discussed, and shared.
Enterprise intelligence becomes valuable when it can move from context to governed action.UNDERSTAND → DECIDE → ACT