Query your BigDataCorp data using natural language
Swiftask connects your AI agents to BigDataCorp. Ask your questions in plain English, get instant answers via charts or reports.
Result:
Eliminate dependency on SQL experts. Access your business data in seconds, completely autonomously.
AI Agents
bigdatacorp
Connector bigdatacorp · Secure OAuth 2.0
Your teams waste time waiting for data extractions
To get a simple data analysis from BigDataCorp, your business teams must submit a request to the IT or Data department. Waiting for an SQL query, receiving a CSV, cleaning it, and transforming it takes days.
Main negative impacts:
IT bottlenecks
Data teams are overwhelmed by simple report requests, slowing down high-value strategic projects.
Delayed decision-making
While waiting for data, business decisions are made in the dark or based on outdated information.
SQL technical barrier
Data access is restricted to those who master SQL, excluding operational decision-makers from direct analysis.
Swiftask democratizes access to BigDataCorp. Your AI agent instantly translates your natural language into complex queries, ensuring accurate answers without a single line of code.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A manager wants to know the revenue by region for the last quarter. They send a ticket to the Data team. They wait 48 hours. The report arrives, but a dimension is missing. The cycle starts over.
With Swiftask + BigDataCorp
The manager simply asks their AI agent: 'What is the revenue by region for Q3?'. The agent queries BigDataCorp and displays the pivot table in under 5 seconds.
How to enable natural language querying in 4 steps
1
STEP 1 : Connect BigDataCorp to Swiftask
Configure the secure connector between your BigDataCorp instance and Swiftask. The agent accesses data schemas securely.
2
STEP 2 : Define the agent's scope
Select the tables and views authorized for the agent. You keep full control over exposed data.
3
STEP 3 : Train your agent on your metrics
Give your agent business context (e.g., 'Revenue' means 'Net Revenue'). It learns your company's jargon.
4
STEP 4 : Ask your questions
Query BigDataCorp in natural language from Swiftask. The agent generates, executes, and visualizes the results.
AI agent capabilities for BigDataCorp
The agent analyzes your intent, selects relevant tables, applies time filters, and aggregates data automatically.
- Target connector: The agent performs the right actions in bigdatacorp based on event context.
- Automated actions: Automatic SQL querying, data visualization (charts, tables), intelligent filtering, report export, multi-source aggregation.
- Native governance: All queries are audited. You know exactly who accessed which data and what question was asked.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-bigdatacorp@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Benefits for your organization
Business team autonomy
Managers access data without depending on technical teams.
Accelerated decision-making
Go from question to insight in seconds, not days.
Data governance
Control data access via Swiftask permissions, ensuring your BigDataCorp security.
Reduced technical load
Free your Data engineers from repetitive ad-hoc requests.
Accuracy and reliability
The AI uses your business dictionary to ensure calculations are consistent across the organization.
Security and compliance
Swiftask applies enterprise-grade security standards for your bigdatacorp automations.
- Read-only access: The agent uses limited credentials, preventing any modification or deletion of your BigDataCorp data.
- End-to-end encryption: Data is encrypted during transmission between BigDataCorp and Swiftask.
- Full audit log: Every query is logged. You maintain total visibility over your data usage.
- GDPR compliance: Swiftask adheres to the strictest standards to protect your sensitive data.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on productivity
| Metric | Before | After |
|---|---|---|
| Time to insight | 2 to 5 days | Under 10 seconds |
| Manual SQL requests | High volume | 80% reduction |
| User autonomy | Low (IT dependency) | Total (self-service) |
| Query errors | Frequent (human) | Minimal (AI validated) |
Take action with bigdatacorp
Eliminate dependency on SQL experts. Access your business data in seconds, completely autonomously.