SadaIQMake every insight count.
SadaIQ is a governed analytical workspace. Source records become a defined metric, an interactive chart, the evidence behind it and, when action is needed, a decision someone approves.
Turn complex data into a clearer decision.
Explore connected metrics through expressive visuals, examine the evidence behind each insight, and move from question to action with confidence.
- Explain SadaIQ turns governed business data into visuals a team can read and act on.
- Source points Records arrive from orders, customers and files as separate source cards.
- Policy gate Each record passes a policy check before it can reach a metric.
- Metric map Approved records are mapped to one governed definition of the measure.
- Visual emergence The measure becomes a chart whose total matches the source records.
- Evidence reveal Selecting a mark shows its definition, source, time scope and limits.
- Human action A person reviews the evidence and decides what to do next.
Ready
| Category | Value |
|---|---|
| North | 4276 |
| South | 3814 |
| East | 3784 |
| West | 3526 |
| Total | 15400 |
Evidence
Illustrative synthetic data
- Metric definition
- Net revenue: Revenue after returns, in thousands of synthetic currency units.
- Source category
- Regional sales records
- Time scope
- 2025-01 – 2025-12 · month · UTC
- Interpretation
- Read this as an illustration of how evidence is shown. It says nothing about any real organization.
- Data freshness
- Synthetic data set, not refreshed from any source
- Limitations
- The values are generated for illustration.
- No customer record is used.
- Totals are exact for this data set only.
From source record to approved decision
Most reporting breaks at the handoff between data and decision. SadaIQ keeps one chain intact: connected sources, one definition per metric, a policy-checked query, visible evidence and a human sign-off. Ask in Arabic, Turkish or English and read the answer in the layout your language needs.
From source record to approved decision
A short illustrated sequence on synthetic data: records are assembled, a metric is resolved, evidence is opened and a person approves the action.
- Assemble Source records from orders, CRM and files come together into a governed dataset. Connect data
- Define Different labels for revenue resolve to a single governed definition of net revenue. Semantic layer
- Compare Bars turn into a cohort matrix and a regional comparison, and the total stays the same in each. Visual analytics
- Explain Evidence cards and citations open to show source, definition, freshness and lineage. Data governance
- Approve A business action is proposed, reviewed and approved by a named person. Governed agents
Platform
- Numbers you can defend
Each metric has one owner and one definition, and each material result shows its source and policy context. Questions in a review meeting get answers, not guesses. - From question to answer without a detour
Reusable definitions and a conversational interface remove the rebuild step between a question and a chart. Analysts spend their time on interpretation instead of reconciliation. - Charts that fit the question
The chart portfolio matches the shape of the problem, whether it is a bridge, a cohort or a flow. Every chart also offers a data table and cues beyond colour. - Action with a named approver
Governed agents can propose a next step, but a person reviews and approves anything consequential. The decision and its evidence stay together on the record.
Connect the data you already have
Bring databases, files and applications into one governed view without moving ownership.
- Connect data
Read-only, consented connections with encrypted credentials. - Data governance
Ownership, lineage, timestamps and audit.
Governed by design
Definitions, permissions and lineage travel with every number.
- Semantic layer
One definition per metric, owned and versioned. - Platform security
Isolation, policy, audit and credential custody. - Trust hub
Security, privacy, data governance and accessibility in one hub.
Explore a live chart
Open a sample scene and change the view; every value shows its source.
Illustrative synthetic data
Monthly net revenue and margin, in synthetic thousand units and percent
| Month | Net revenue (synthetic thousand units) | Margin (%) |
|---|---|---|
| 1 | 1103 | 21.4 |
| 2 | 1119 | 22.1 |
| 3 | 1165 | 22.8 |
| 4 | 1221 | 21.6 |
| 5 | 1277 | 22.3 |
| 6 | 1279 | 23 |
| 7 | 1319 | 21.8 |
| 8 | 1315 | 22.5 |
| 9 | 1355 | 23.2 |
| 10 | 1357 | 22 |
| 11 | 1419 | 22.1 |
| 12 | 1471 | 20.9 |
- Bars show net revenue for each of twelve months.
- Revenue climbs from 1,103 in month one to 1,471 in month twelve.
- The line shows margin, which stays between 20.9 and 23.2 percent.
- Twelve months add up to 15,400 thousand units.
Illustrative synthetic data
Flow links from source to audience, in synthetic units
| From | To | Value |
|---|---|---|
| Orders database | Sales dataset | 620 |
| CRM | Sales dataset | 140 |
| CRM | Customer dataset | 180 |
| Files | Customer dataset | 90 |
| Sales dataset | Net revenue | 760 |
| Customer dataset | Repeat rate | 270 |
| Net revenue | Executives | 460 |
| Net revenue | Operations | 300 |
| Repeat rate | Executives | 120 |
| Repeat rate | Operations | 150 |
- An orders database, a CRM and files are the three sources.
- They feed the sales and customer datasets.
- Those datasets resolve into the net revenue and repeat rate metrics; net revenue receives 760 units from sales, 620 of them from the orders database.
- Net revenue then feeds executives with 460 units and operations with 300.
- Visualization gallery
Synthetic-data stories filtered by question, chart, role and industry.
One platform, every kind of analysis
From questions in plain language to dashboards, agents and embedded analytics.
- Visual analytics
Seven chart types with tables and non-colour cues. - Ask in plain language
Questions in three languages, answered from governed metrics. - Dashboards and canvas
Author, share and explore with access rules intact. - Governed agents
Bounded agents with human approval for important actions. - Embed and integrate
SDK, API and MCP access with server-side permissions.
Built for your industry
Start from the sector you work in and see the questions that matter there.
- Retail and commerce
Sales, repeat customers, inventory and margin on one definition. - Financial services
Profitability and reconciliation with control evidence. - Professional services
Capacity, pipeline, SLA and satisfaction together. - Manufacturing
Yield, throughput, downtime and quality on one grain. - Healthcare operations
Operational performance analytics under strict access control. - Public sector
Resource allocation and service efficiency with evidence.
Responsible intelligence
Evidence, limits and human review stay visible next to each answer.
- Trust hub
Security, privacy, data governance and accessibility in one hub. - Privacy notice
Roles, purposes, data, rights and choices. - Accessibility
Keyboard, tables, non-colour cues and right-to-left.
- Connect a source Link a database, application or file store with read-only access. The owner consents to the connection and credentials are stored encrypted.
- Discover the approved schema After the connection test, SadaIQ reads the schema and shows what is available, limited to what the connection is allowed to see.
- Map canonical metrics Define each business metric once, with a name, definition, owner, grain and time logic, so the meaning is shared by everyone.
- Explore visually Open the metric in an interactive chart, hover or focus for detail, and switch to the data table whenever it helps.
- Ask in natural language Ask in Arabic, Turkish or English. The question is matched to governed metrics and the answer links to its evidence.
- Share governed artifacts Publish dashboards and canvases to colleagues. Each viewer sees only what their access rules allow.
- Inspect the evidence Open any material result to see lineage, freshness, definition version, policy context and a reference to reproduce it.
- Visit Read about the platform, explore the gallery of illustrative charts and see how the product handles governance.
- Pricing or sales contact Review how plans work, or send an enterprise inquiry to the sales team with your explicit consent.
- Create the organization Register, verify your email and set up the organization workspace that will hold your data and people.
- Account and payment Choose a plan from the live catalog and complete checkout. Your entitlements follow the plan you select.
- Connector consent Connect a first source with read-only access. The source owner gives consent before any data is read.
- First governed dashboard Define a first metric and publish a dashboard where every figure carries its evidence.
- Support and receipt Reach support when you need it, and find your invoices and receipts in your billing area.
Plans that grow with you
Compare plans, then start with an account or talk to our team.
- Pricing
Monthly or annual billing, with amounts from the live catalog. - Compare plans
A comparison table fed by the entitlement catalog.
Talk to us
Tell us which decision you need to make and we will show you how it looks in SadaIQ.
- Contact sales
Enterprise and quote inquiries, sent with your consent. - Sign up
Account, organization, verification, first insight.
- Platform
Connect, model, query, explain, visualize, share and govern. - Solutions
Six industries on one governed foundation. - By role
Eight roles reading from the same governed metrics. - Pricing
Monthly or annual billing, with amounts from the live catalog. - Contact sales
Enterprise and quote inquiries, sent with your consent. - Contact
General, support and privacy requests routed by topic. - Partners
Partner and integration inquiries reviewed by our team. - Sign up
Account, organization, verification, first insight. - Sign in
Authenticate, then choose your organization. - Visualization gallery
Synthetic-data stories filtered by question, chart, role and industry. - Resources
Guides for modelling, charting, governance and integration. - Documentation
Product guides and developer references in one place. - Customers
Workspace, connection, metric, dashboard, with support. - About SadaIQ
Governed, evidence-backed decisions. - Trust hub
Security, privacy, data governance and accessibility in one hub.
Choose a business question
Three linked charts answer three questions; open any of them for the full interaction.
Weekly revenue seasonality
In which weeks does revenue rise and when does it fall behind the prior year?
The lines compare this year with the prior year week by week and show a seasonal rise in mid-year and a short peak before year end. Show table
Weekly revenue seasonality Week This year (thousand synthetic currency units) Prior year (thousand synthetic currency units) Week 1 90 thousand synthetic currency units 78 thousand synthetic currency units Week 2 90 thousand synthetic currency units 76 thousand synthetic currency units Week 3 91 thousand synthetic currency units 81 thousand synthetic currency units Week 4 92 thousand synthetic currency units 85 thousand synthetic currency units Week 5 95 thousand synthetic currency units 78 thousand synthetic currency units Week 6 94 thousand synthetic currency units 78 thousand synthetic currency units Week 7 91 thousand synthetic currency units 86 thousand synthetic currency units Week 8 98 thousand synthetic currency units 87 thousand synthetic currency units Week 9 101 thousand synthetic currency units 89 thousand synthetic currency units Week 10 102 thousand synthetic currency units 93 thousand synthetic currency units Week 11 106 thousand synthetic currency units 88 thousand synthetic currency units Week 12 113 thousand synthetic currency units 100 thousand synthetic currency units Week 13 112 thousand synthetic currency units 97 thousand synthetic currency units Week 14 118 thousand synthetic currency units 101 thousand synthetic currency units Week 15 122 thousand synthetic currency units 106 thousand synthetic currency units Week 16 120 thousand synthetic currency units 108 thousand synthetic currency units Week 17 124 thousand synthetic currency units 110 thousand synthetic currency units Week 18 128 thousand synthetic currency units 115 thousand synthetic currency units Week 19 133 thousand synthetic currency units 120 thousand synthetic currency units Week 20 136 thousand synthetic currency units 115 thousand synthetic currency units Week 21 141 thousand synthetic currency units 118 thousand synthetic currency units Week 22 139 thousand synthetic currency units 126 thousand synthetic currency units Week 23 146 thousand synthetic currency units 123 thousand synthetic currency units Week 24 147 thousand synthetic currency units 125 thousand synthetic currency units Week 25 147 thousand synthetic currency units 124 thousand synthetic currency units Week 26 153 thousand synthetic currency units 124 thousand synthetic currency units Week 27 153 thousand synthetic currency units 127 thousand synthetic currency units Week 28 153 thousand synthetic currency units 124 thousand synthetic currency units Week 29 148 thousand synthetic currency units 126 thousand synthetic currency units Week 30 150 thousand synthetic currency units 125 thousand synthetic currency units Week 31 146 thousand synthetic currency units 125 thousand synthetic currency units Week 32 142 thousand synthetic currency units 122 thousand synthetic currency units Week 33 147 thousand synthetic currency units 125 thousand synthetic currency units Week 34 147 thousand synthetic currency units 123 thousand synthetic currency units Week 35 138 thousand synthetic currency units 118 thousand synthetic currency units Week 36 134 thousand synthetic currency units 118 thousand synthetic currency units Week 37 136 thousand synthetic currency units 114 thousand synthetic currency units Week 38 129 thousand synthetic currency units 110 thousand synthetic currency units Week 39 128 thousand synthetic currency units 109 thousand synthetic currency units Week 40 124 thousand synthetic currency units 109 thousand synthetic currency units Week 41 123 thousand synthetic currency units 101 thousand synthetic currency units Week 42 113 thousand synthetic currency units 96 thousand synthetic currency units Week 43 116 thousand synthetic currency units 99 thousand synthetic currency units Week 44 113 thousand synthetic currency units 96 thousand synthetic currency units Week 45 105 thousand synthetic currency units 89 thousand synthetic currency units Week 46 98 thousand synthetic currency units 86 thousand synthetic currency units Week 47 114 thousand synthetic currency units 105 thousand synthetic currency units Week 48 119 thousand synthetic currency units 99 thousand synthetic currency units Week 49 113 thousand synthetic currency units 95 thousand synthetic currency units Week 50 112 thousand synthetic currency units 96 thousand synthetic currency units Week 51 90 thousand synthetic currency units 81 thousand synthetic currency units Week 52 91 thousand synthetic currency units 84 thousand synthetic currency units Conversion stages from visit to order
At which stage does the store lose the most visitors?
Session counts fall across five ordered stages, and each stage shows its rate against the stage before; the largest loss is between viewing and the cart. Show table
Conversion stages from visit to order Stage Sessions (sessions) Visit 10,000 sessions Product view 6,200 sessions Cart 2,400 sessions Checkout 1,500 sessions Order 1,100 sessions Revenue shares by region and category
How much of the revenue does each region carry, and which categories make it up?
Each rectangle's area is proportional to revenue and the category totals match their region exactly; clicking or pressing the down arrow opens a region's categories. Show table
Revenue shares by region and category Region Region revenue (thousand synthetic currency units) % North 411 thousand synthetic currency units 24% South 492 thousand synthetic currency units 29% East 359 thousand synthetic currency units 21% West 419 thousand synthetic currency units 25%