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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.

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  • Delayed decision-making: While waiting for data, business decisions are made in the dark or based on outdated information.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

STEP 1 : Connect BigDataCorp to Swiftask

Configure the secure connector between your BigDataCorp instance and Swiftask. The agent accesses data schemas securely.

STEP 2 : Define the agent's scope

Select the tables and views authorized for the agent. You keep full control over exposed data.

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.

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

1. Business team autonomy

Managers access data without depending on technical teams.

2. Accelerated decision-making

Go from question to insight in seconds, not days.

3. Data governance

Control data access via Swiftask permissions, ensuring your BigDataCorp security.

4. Reduced technical load

Free your Data engineers from repetitive ad-hoc requests.

5. 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

MetricBeforeAfter
Time to insight2 to 5 daysUnder 10 seconds
Manual SQL requestsHigh volume80% reduction
User autonomyLow (IT dependency)Total (self-service)
Query errorsFrequent (human)Minimal (AI validated)

Take action with bigdatacorp

Eliminate dependency on SQL experts. Access your business data in seconds, completely autonomously.

Anticipate the future: Intelligent trend prediction via BigDataCorp

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