Azure Synapse + AskEnola: AI Analytics for Your Microsoft Data Stack

Microsoft’s data ecosystem is one of the most widely deployed in enterprise environments. Azure Synapse Analytics, Azure Data Lake, Power BI, and the broader Azure data stack give organizations a powerful, integrated infrastructure for storing and processing data at scale. But infrastructure doesn’t automatically translate into accessible analytics — and for many Microsoft-centric organizations, the gap between “we have the data in Synapse” and “our business users can get answers from it” remains significant.

That’s where AskEnola adds a new layer to the Microsoft data stack: natural language querying that lets business users ask questions in plain English, without SQL, without Power BI training, and without waiting for the data team.

Why Microsoft Teams Are Adding AI Analytics

The Microsoft data stack is mature, secure, and deeply integrated — which is why so many enterprises rely on it. But even within a well-configured Azure Synapse + Power BI environment, several common frustrations persist:

• Power BI self-service has limits: Power BI is powerful, but building reports requires either Power BI skills (which many business users lack) or a data analyst to build reports on their behalf. The self-service promise often goes only partially fulfilled.
• Q&A features in Power BI are limited: Power BI includes a basic Q&A feature for natural language queries, but it works only within pre-built datasets and returns charts rather than structured analytical insights.
• Report maintenance overhead: Power BI reports built on Synapse data require ongoing maintenance as data models and business questions evolve — consuming significant data team capacity.
• Business user dependency on IT: In many Microsoft-centric enterprises, access to Synapse data is still gated by IT and data engineering, creating a bottleneck for business-driven analytics.

AskEnola solves the last-mile problem by giving business users direct, natural language access to Synapse data — structured by the BADIR™ framework for decision-ready outputs.

How AskEnola Integrates with Azure Synapse

AskEnola connects to Azure Synapse Analytics as a read-only data source, using Azure Active Directory (AAD) authentication or SQL-based credentials for the Synapse SQL pool. The integration approach:

1. Secure connection: AskEnola connects to your Synapse dedicated SQL pool or serverless SQL pool using a read-only service principal or SQL user with appropriate permissions
2. Schema discovery: AskEnola reads your Synapse schema — tables, columns, and relationships — to understand what data is available and how it’s structured
3. Natural language translation: Business questions typed in plain English are translated into T-SQL queries that run against your Synapse environment
4. BADIR™ structuring: Query results are processed through the BADIR™ framework to produce insight and recommendation outputs, not just data tables

Setting Up the Connection

For complete technical documentation, visit askenola.ai/product. The high-level setup steps for Azure Synapse integration are:

1. Create a read-only SQL user in your Synapse dedicated pool (or configure a service principal with the Reader role for serverless)
2. Whitelist AskEnola’s IP range in your Synapse firewall settings if applicable
3. Provide your Synapse server name, database name, and credentials to AskEnola
4. Define your business data context — mapping business terminology to table and column names
5. Run validation queries to confirm accurate schema interpretation before going live

Most teams complete the initial setup in a half day or less, with a staged rollout to business user groups recommended for larger organizations.

Comparing AskEnola to Power BI for Azure Synapse Users

The takeaway: Power BI and AskEnola are complementary. Power BI excels at pre-defined, visually rich reporting for known recurring metrics. AskEnola excels at ad hoc analytical questions that need a structured recommendation rather than a chart.

Use Cases by Role

Executives

C-suite leaders often need quick answers before board meetings, quarterly reviews, or investor calls — and they rarely have time to navigate dashboards. AskEnola lets executives ask direct questions like “How did our gross margin change by product line this quarter?” and get a structured answer in seconds, directly from Synapse data.

Product Managers

Product decisions depend on behavioral data: feature adoption, retention by cohort, onboarding completion, engagement metrics. With AskEnola connected to Synapse, PMs can ask product questions directly without waiting for a data pull — dramatically accelerating the decision cycle for prioritization and roadmap planning.

Marketing Teams

Marketing analytics questions change constantly: campaign performance, attribution, audience behavior, conversion rates by channel. AskEnola gives marketing teams direct access to Synapse-stored marketing data, with BADIR™-structured outputs that are immediately usable for campaign decisions.

FAQ: Azure Synapse + AskEnola

Does AskEnola work with Azure Synapse?

Yes. AskEnola integrates with Azure Synapse Analytics — both dedicated SQL pools and serverless SQL pools. The connection is read-only and uses standard Azure authentication methods. For setup documentation, visit askenola.ai/product.

How is AskEnola different from Power BI for Azure Synapse users?

Power BI requires pre-built reports to answer business questions and is optimized for visual, recurring analytics. AskEnola answers ad hoc questions in plain English on demand, with no report-building required, and structures outputs as BADIR™ insights and recommendations rather than charts. They serve complementary use cases and many organizations use both.

Can I use AskEnola with my existing Microsoft data stack?

Yes. AskEnola is designed to work alongside — not replace — existing data infrastructure. It connects to Azure Synapse at the warehouse layer, leaving your data architecture, Azure Data Factory pipelines, and Power BI reports in place. Business users gain natural language access to Synapse data as an additional capability on top of your existing Microsoft stack.

Is Azure Synapse compatible with AI analytics tools?

Yes. Azure Synapse’s SQL endpoint is compatible with standard SQL-based connections, which is how tools like AskEnola integrate. Azure’s IAM and firewall controls provide the governance layer to ensure only authorized tools can access your Synapse environment.