Power BI SQL Database Integration Services
Connect SQL databases to Power BI and transform structured data into interactive dashboards, reports, and visual analytics for executives, managers, analysts, and business users.
Whether your data is stored in SQL Server, PostgreSQL, MySQL, Azure SQL Database, Oracle, MariaDB, Snowflake, BigQuery, Amazon Redshift, or another relational database, we help you build clean, reliable, secure, and decision-ready Power BI reporting.
Database intelligence
Why Connect SQL Databases to Power BI?
SQL databases are built to store, manage, and retrieve structured data efficiently. Many business systems use SQL databases behind the scenes, including CRM systems, ERP platforms, accounting systems, websites, mobile apps, inventory platforms, customer portals, HR systems, and internal operational tools.
The problem is that databases are usually designed for storage and transactions, not executive reporting or visual decision-making. A database table may contain thousands or millions of rows, but business users need summaries, trends, KPIs, and comparisons. They need to know what is happening, why it is happening, and where action is needed.
Power BI bridges this gap by connecting to SQL databases and turning database records into clear reports and dashboards. A finance manager can monitor revenue, expenses, and profit. A sales manager can review pipeline and customer performance. An operations manager can track turnaround time, backlog, and productivity. Executives can monitor company-wide KPIs in one place.
This is why SQL database integration is one of the strongest foundations for professional Power BI dashboard development. It connects your dashboards directly to structured business data and reduces dependency on manual reporting.
SQL to Power BI Dashboards
Turn structured database records into interactive dashboards for executives, managers, and business users.
Reliable Database Reporting
Reduce manual SQL exports and create repeatable reporting workflows with Power BI models and refresh setup.
Secure Data Access
Configure access, gateways, refresh schedules, row-level security, and deployment for database-connected reports.
Integration services
Our Power BI SQL Database Integration Services
Our Power BI services help businesses create professional reporting systems from SQL databases. We support both technical setup and reporting design so the final dashboard is accurate, fast, secure, and easy to use.
Our services include SQL database connection setup, Power Query connection and transformation, SQL Server integration, PostgreSQL integration, MySQL integration, Azure SQL integration, data modeling, relationship design, semantic model development, DAX measure creation, DirectQuery and Import mode planning, scheduled refresh setup, on-premises data gateway configuration, report publishing, row-level security planning, dashboard design, and performance optimization.
We can help you build dashboards from transactional databases, reporting databases, data warehouses, operational databases, cloud databases, and database views. We can also help decide whether your Power BI report should connect directly to raw tables, SQL views, stored procedures, or curated reporting tables.
As your Power BI consultant, we help define the reporting logic, KPIs, and data structure. As your Power BI developer, we build the actual Power BI model, calculations, visuals, refresh setup, and dashboard experience.
Power BI and SQL Server Integration
Microsoft SQL Server is one of the most common database platforms used by businesses. It may store finance data, sales data, customer records, operational data, HR records, inventory data, invoices, payments, and internal system records.
Power BI can connect to SQL Server and use SQL Server data to build interactive dashboards and reports. For on-premises SQL Server databases, Power BI Service commonly requires an on-premises data gateway so reports can refresh after publishing. Microsoft’s SQL Server gateway tutorial explains a workflow where users create and publish a Power BI Desktop file, configure gateway and semantic model settings in Power BI, configure scheduled refresh, perform on-demand refresh, and review refresh history.
A SQL Server Power BI dashboard can support executive reporting, finance dashboards, sales dashboards, inventory dashboards, operations dashboards, customer analytics, and management reporting. For example, a business can connect Power BI to SQL Server tables for invoices, customers, products, salespeople, and payments to create dashboards showing revenue, outstanding balances, product performance, and customer value.
A skilled Power BI developer helps structure the connection properly so the dashboard is accurate and does not overload the database.
Power BI and PostgreSQL Integration
PostgreSQL is widely used for modern web applications, SaaS platforms, internal business systems, analytics databases, and cloud applications. Many businesses store customer activity, product usage, subscription data, operational records, orders, or user behavior in PostgreSQL databases.
Power BI can use PostgreSQL data for dashboards and reporting when the connection, credentials, and data model are configured correctly. A PostgreSQL Power BI dashboard can help SaaS companies, technology teams, agencies, and growing businesses monitor product performance, customer activity, recurring revenue, user engagement, support activity, and operational metrics.
For example, a SaaS company may use PostgreSQL to store account records, users, subscriptions, events, feature usage, invoices, and support interactions. Power BI can turn that data into customer analytics, retention dashboards, revenue dashboards, usage reports, and executive KPI reports.
As a Power BI consultant, we help translate the database structure into business reporting logic. As a Power BI developer, we build the model, measures, and dashboards needed for clear reporting.
Power BI and MySQL Integration
MySQL is commonly used for websites, e-commerce systems, applications, customer portals, internal tools, and operational databases. Businesses may store orders, customer records, product catalogs, payments, website activity, service requests, and account information in MySQL.
Power BI can connect to MySQL data and transform it into professional dashboards. A MySQL Power BI dashboard can show sales performance, order volume, customer behavior, product performance, fulfillment status, inventory movement, and financial summaries.
For example, an e-commerce business can connect Power BI to MySQL tables containing customers, orders, products, payments, shipping details, and returns. The dashboard can show total sales, top products, repeat customers, order status, average order value, regional sales, and refund trends.
Our Power BI services help ensure MySQL reporting is structured properly, refreshed reliably, and designed for business users rather than database administrators only.
Power BI and Azure SQL Database Integration
Azure SQL Database is a common cloud database option for businesses using Microsoft cloud infrastructure. It can support application data, operational reporting, finance systems, customer records, and cloud business platforms.
Power BI integrates well with Azure SQL because both are part of the Microsoft ecosystem. Azure SQL-based Power BI reporting can support cloud dashboards, executive reports, operational monitoring, SaaS analytics, and business intelligence environments.
A cloud database setup can reduce some on-premises gateway complexity, depending on network configuration and authentication. However, it still requires careful credential setup, security planning, refresh configuration, data modeling, and performance design.
A professional Power BI consultant can help decide whether Azure SQL should be used as a reporting source, staging layer, or data mart for Power BI dashboards.
Connection planning
Cloud Databases, Import Mode, DirectQuery, Refresh, and Gateways
Power BI SQL Database Integration for Cloud Databases
Power BI can also support reporting from cloud data warehouses and databases such as Snowflake, BigQuery, Redshift, Databricks, and other cloud platforms depending on connector availability and configuration.
Cloud database integration is useful for businesses that have larger datasets, centralized analytics environments, or modern data pipelines. These systems may contain cleaned, transformed, and modeled data that is ready for business intelligence reporting.
A cloud database Power BI dashboard can support executive KPI reporting, customer analytics, financial dashboards, marketing attribution, product analytics, operations monitoring, and advanced data visualization.
The key is to design the connection and model carefully. Large cloud datasets can become expensive or slow if queries are inefficient, filters are poorly designed, or DirectQuery is used without planning. A professional Power BI developer helps optimize the dashboard for performance and usability.
Import Mode vs DirectQuery for SQL Databases
One of the most important decisions in Power BI SQL database integration is whether to use Import mode or DirectQuery.
Import mode loads a copy of the data into the Power BI semantic model. This often gives faster report performance because visuals query the in-memory model rather than the database directly. Import mode is useful for many dashboards where scheduled refresh is enough.
DirectQuery leaves the data in the database and sends queries to the source as users interact with the report. This can be useful when data must remain in the database or when users need more current data. However, DirectQuery performance depends heavily on source database speed, query design, network performance, and dashboard complexity. Microsoft’s DirectQuery guidance notes that DirectQuery reports send queries to the underlying data source when users interact with report visuals, meaning the source system and query design are critical to user experience.
The best choice depends on your business needs. An executive dashboard may work best with Import mode refreshed daily. An operations dashboard may need more frequent refreshes or DirectQuery. A large enterprise report may require a hybrid approach.
As your Power BI consultant, we help decide the right connection mode based on data size, refresh needs, performance, security, and user expectations.
Scheduled Refresh for SQL Database Dashboards
Most businesses want their dashboards to stay updated automatically. For SQL database dashboards, scheduled refresh is a critical part of deployment.
Microsoft’s scheduled refresh documentation explains that Power BI Service refresh settings include gateway connection, data source credentials, and schedule refresh. For on-premises databases, the on-premises data gateway is commonly required so Power BI Service can access the database securely from the cloud. Microsoft describes the gateway as software installed in an on-premises network that acts as a bridge between on-premises data and Microsoft cloud services such as Power BI.
Our Power BI services include refresh planning, gateway setup, credential configuration, refresh testing, failure troubleshooting, and refresh history review. This helps ensure your SQL-connected dashboard remains reliable after publishing.
On-Premises Data Gateway Setup for SQL Databases
If your SQL database is hosted on a local server or private network, Power BI Service usually needs an on-premises data gateway to refresh data after the report is published.
Microsoft explains that the on-premises data gateway allows multiple users to connect to multiple on-premises data sources and use those data sources in cloud services such as Power BI. Microsoft also outlines the main gateway usage steps: download and install the gateway, configure it based on network requirements, add gateway admins, use the gateway to refresh an on-premises data source, and troubleshoot issues.
Gateway setup must be handled carefully because refresh failures often come from credential mismatches, gateway downtime, server name mismatches, firewall restrictions, or changed database settings.
A professional Power BI developer can help configure the gateway properly and test whether SQL database refresh works in Power BI Service.
Modeling and optimization
SQL Views, Power Query, DAX Measures, and Performance Tuning
Data Modeling for SQL Database Reporting
SQL databases are often normalized for transactional systems. This means data may be split across many related tables. While this is good for database management, it can make reporting harder if the Power BI model is not designed properly. A strong Power BI model turns database tables into a reporting-friendly structure. This often involves fact tables, dimension tables, relationships, date tables, and reusable DAX measures. For example, a sales database may include tables for orders, order lines, customers, products, branches, salespeople, payments, and dates. A Power BI model can organize these into a structure that supports accurate reporting by product, region, customer, salesperson, and time period. Good modeling prevents duplicated totals, broken filters, slow dashboards, and confusing results. It also makes Power BI data visualization easier because the visuals are built on a reliable model.
SQL Views for Power BI Reporting
SQL views can make Power BI reporting cleaner and easier to maintain. A SQL view is a saved query in the database that can combine tables, apply business logic, rename fields, filter records, and create a reporting-friendly layer. Instead of connecting Power BI directly to many raw tables, a business may create SQL views for sales reporting, finance reporting, customer analytics, or operations reporting. This can simplify the Power BI model and make reporting logic easier to manage. For example, a SalesReportingView may combine customer, order, product, region, and salesperson information into a cleaner dataset. A FinanceReportingView may combine invoices, payments, accounts, cost centers, and budgets. An OperationsView may combine tasks, status changes, timestamps, employees, and service categories. As your Power BI consultant, we can recommend when SQL views are useful. As your Power BI developer, we can build Power BI dashboards that use those views effectively.
Custom SQL Queries in Power BI
Power BI can use custom SQL queries in some database connections. This may be useful when a dashboard needs a specific dataset that is not available directly from one table or view. However, custom SQL should be used carefully. Complex custom SQL inside Power BI can be harder to maintain, harder to govern, and sometimes slower than using database views or curated reporting tables. In many business environments, it is better to push complex logic into the database layer where it can be managed, tested, and reused. The right approach depends on your database environment, reporting needs, data governance, and performance requirements. A professional Power BI developer can help decide whether to use raw tables, views, stored procedures, or custom SQL for your dashboard.
Power Query for SQL Database Transformation
Power Query is often used to clean and transform SQL database data before it enters the Power BI model. It can rename columns, change data types, remove unnecessary fields, filter rows, merge tables, add calculated columns, and prepare data for reporting. However, when working with SQL databases, transformation design must consider performance. Some Power Query steps can fold back to the database, meaning the database handles the work. Other steps may break query folding, forcing Power BI to process more data after extraction. For large SQL databases, query folding and efficient transformation design are important. Poor transformation logic can slow refresh and make dashboards harder to maintain. A skilled Power BI developer designs Power Query steps with performance, refresh, and maintainability in mind.
DAX Measures for SQL Database Dashboards
A SQL-connected Power BI dashboard often needs DAX measures to calculate business KPIs. Raw database fields usually do not contain every metric needed for reporting. DAX measures can calculate total revenue, gross profit, profit margin, year-to-date sales, month-over-month growth, budget variance, customer count, active customers, churn rate, conversion rate, average order value, backlog, completion rate, and target achievement. For example, a sales database may store transaction amounts and dates. DAX can calculate total sales, sales growth, target achievement, and rolling 12-month revenue. A finance database may store invoices and expenses. DAX can calculate margins, variance, and profitability. Professional Power BI reporting depends on measures that match business definitions and behave correctly with filters.
Performance Optimization for SQL Power BI Dashboards
Performance is one of the biggest issues in database-connected dashboards. A report may become slow if the model is too large, queries are inefficient, visuals are too complex, DAX measures are poorly written, or DirectQuery is used without proper database optimization. Performance optimization can include using Import mode where appropriate, reducing unnecessary columns, filtering data early, creating SQL views, aggregating large tables, optimizing relationships, simplifying visuals, improving DAX, using proper indexes in the database, and reviewing query folding. A dashboard that loads slowly will not be used consistently. A professional Power BI developer helps optimize both the Power BI model and the database connection so users can interact with reports smoothly.
Business dashboards
SQL Database Dashboards for Executive, Sales, Finance, Operations, Customer, and Marketing Teams
Power BI SQL Database Integration for Executive Dashboards
Executive dashboards often require data from multiple database tables and business systems. SQL database integration can provide a reliable foundation for leadership reporting. An executive Power BI dashboard connected to SQL data can show revenue, profit, expenses, sales pipeline, customer growth, retention, operations performance, project progress, and strategic KPIs. Executives need clear summaries, but they also need the ability to drill into details when questions arise. A well-modeled SQL database dashboard can allow leaders to move from company-wide KPIs into region, department, product, customer, or time-period details. This helps leadership teams move from static reporting to interactive business intelligence.
Power BI SQL Database Integration for Sales Dashboards
Sales data is often stored in SQL databases behind CRMs, order systems, billing systems, or internal platforms. Power BI can turn that data into dashboards that help sales teams understand performance. A sales SQL Power BI dashboard can include revenue trends, sales by product, sales by region, sales by customer, salesperson performance, target achievement, pipeline value, conversion rate, average order value, and customer growth. Advanced dashboards can also show top customers, declining accounts, missed targets, product mix, and sales forecast gaps. This type of Power BI data visualization helps sales leaders make better decisions about strategy, territories, customer focus, and revenue planning.
Power BI SQL Database Integration for Finance Dashboards
Finance data stored in SQL databases can support powerful Power BI dashboards. This may include invoices, payments, accounts, expenses, cost centers, budgets, cash flow, financial transactions, and account balances. A finance SQL Power BI dashboard can show revenue, expenses, profit margin, budget variance, cash flow, receivables, payables, cost center performance, and profitability by business unit. Finance reporting requires careful data validation and calculation logic. A professional Power BI consultant helps define the metrics, while a Power BI developer builds the model and DAX measures. This reduces manual finance reporting and improves visibility into financial performance.
Power BI SQL Database Integration for Operations Dashboards
Operations systems often store data in SQL databases. This may include tasks, service requests, tickets, delivery logs, inventory records, production data, workflow events, and quality records. A Power BI operations dashboard can show service volume, completed tasks, pending tasks, backlog, turnaround time, SLA compliance, productivity, inventory movement, delivery performance, and quality issues. SQL integration helps operations teams monitor performance directly from structured system data rather than relying on manual spreadsheets. This improves process visibility and helps managers identify bottlenecks earlier.
Power BI SQL Database Integration for Customer Analytics
Customer data may be stored across SQL tables for accounts, transactions, subscriptions, support tickets, product usage, feedback, and billing. Power BI can bring this data together into customer analytics dashboards. A customer Power BI dashboard can show customer growth, retention, churn, customer lifetime value, repeat purchase rate, satisfaction, complaints, support activity, and customer segmentation. For SaaS companies, customer analytics may include active users, feature usage, subscription status, revenue expansion, contraction, and account health. For service businesses, it may include project delivery, support quality, renewals, and customer satisfaction. A well-developed SQL database integration makes customer insights more accessible across the business.
Power BI SQL Database Integration for Marketing Analytics
Marketing data may be stored in SQL databases when businesses collect leads, campaign attribution, website events, conversions, customer interactions, or CRM activity. Power BI can turn this data into marketing performance dashboards. A marketing SQL Power BI dashboard can show leads, qualified leads, campaign performance, conversion rate, cost per lead, customer acquisition cost, channel performance, funnel movement, and revenue attribution. When marketing data is connected to sales and customer data in a database, Power BI can show more meaningful performance metrics. Instead of reporting only clicks or form submissions, the dashboard can show which campaigns generated actual revenue or qualified customers.
Advanced use cases
SQL Reporting for SaaS, E-Commerce, Security, RLS, and Single Source of Truth
Power BI SQL Database Integration for SaaS Analytics
SaaS platforms often store product usage, account activity, subscriptions, invoices, feature adoption, support activity, and customer events in databases. Power BI can transform this data into SaaS analytics dashboards. A SaaS Power BI dashboard can include monthly recurring revenue, active users, churn, retention, feature adoption, customer segments, account health, support volume, conversion funnels, and subscription trends. This type of reporting helps SaaS teams understand product engagement, customer value, retention risk, and growth opportunities. A professional Power BI developer can help create models that handle event data, account-level metrics, subscription history, and time-based analysis.
Power BI SQL Database Integration for E-Commerce
E-commerce systems often store orders, customers, products, payments, shipping, refunds, discounts, and inventory records in databases. Power BI can turn that data into e-commerce dashboards. An e-commerce Power BI dashboard can show sales trends, average order value, top products, customer retention, repeat purchases, returns, discount impact, regional sales, payment status, and inventory movement. This helps business owners and managers understand what is selling, which customers are returning, which products are profitable, and where operational issues exist.
Secure SQL Database Reporting in Power BI
Security is critical when connecting Power BI to SQL databases. Databases may contain sensitive information such as customer records, financial data, employee data, payment information, contracts, or operational details. Security planning may include database permissions, service accounts, gateway credentials, workspace roles, row-level security, semantic model permissions, sensitivity labels, and report sharing controls. For example, executives may access company-wide data, while regional managers may only see their regions. A client-facing dashboard may need each client to see only their own records. Finance reports may need restricted access and export controls. A professional Power BI consultant helps design the security approach, while a Power BI developer supports implementation and testing.
Row-Level Security for SQL Database Dashboards
Row-level security is useful when one dashboard needs to serve different users with different access levels. The data model can filter rows based on user roles, departments, regions, clients, branches, or accounts. For example, a sales dashboard can show each sales manager only their region. A client dashboard can show each client only their own records. An operations dashboard can show managers only their branch or department. For SQL database dashboards, row-level security requires a clear data model and often a user mapping table. The model must include the correct fields to filter access securely. This is especially important for client reporting, sales reporting, finance dashboards, and multi-department reports.
Reducing Manual SQL Exports With Power BI
Many teams rely on manual SQL exports for reporting. Someone runs a query, exports results to Excel, cleans the data, creates charts, and shares the report. This process is slow and increases the risk of errors. Power BI SQL database integration reduces this manual work. Once the dashboard is connected to the database and refresh is configured, users can access updated insights without waiting for manual exports. This saves time, improves consistency, and allows analysts to focus on interpretation rather than report preparation. For businesses that rely on recurring database reports, this is one of the strongest benefits of Power BI.
Building a Single Source of Truth From SQL Data
SQL databases can support a single source of truth when Power BI models and dashboards are built carefully. Instead of different teams creating separate reports from separate exports, Power BI can use governed database views, shared semantic models, and standardized DAX measures. For example, one sales semantic model can define revenue, target achievement, customer count, and product performance consistently. Multiple reports can then use the same model for different audiences. This improves trust because users are less likely to see conflicting numbers across dashboards. A professional Power BI consultant helps define KPI standards and reporting governance so SQL data becomes a reliable business intelligence foundation.
Our process
Our Power BI SQL Database Integration Process
Define Goals
Our process begins by understanding your reporting goals. We identify what dashboard you need, who will use it, what KPIs matter, and what decisions the report should support.
Review Database
Next, we review your SQL database structure. We identify relevant tables, views, relationships, keys, date fields, data quality issues, and performance considerations.
Choose Connection
After that, we choose the right connection approach. This may include Import mode, DirectQuery, SQL views, custom SQL, data gateway setup, scheduled refresh, or cloud database connection depending on your needs.
Build Model
Then we build the Power BI model. We create relationships, date tables, DAX measures, Power Query transformations, and semantic model structure.
Design and Test
Next, we design the dashboard, then test it for accuracy, refresh reliability, performance, and user access. The final result is a SQL-connected Power BI reporting system that is practical and trustworthy.
Benefits of Power BI SQL Database Integration
Power BI SQL database integration helps businesses unlock the value of structured data. It reduces manual exports, improves reporting consistency, supports interactive dashboards, enables automated refresh, and makes database insights easier for business users to understand.
The main benefits include faster reporting, better data accuracy, improved KPI tracking, stronger decision-making, reduced spreadsheet dependency, secure data access, scalable reporting models, and professional Power BI data visualization.
It also helps teams work from trusted data. When dashboards connect to well-structured SQL sources, users can focus less on preparing reports and more on acting on insights.
Who Needs Power BI SQL Database Integration?
This service is useful for businesses, agencies, consultants, SaaS companies, e-commerce platforms, nonprofits, finance teams, sales teams, operations teams, marketing teams, and executives that store important data in SQL databases.
You may need this service if your team regularly exports SQL data manually, if managers cannot access database insights easily, if your reports are slow or inconsistent, if you need automated refresh, or if you want to create a professional business intelligence reporting system.
You may also need SQL database integration if your current dashboards rely too heavily on spreadsheets and your business is ready for a stronger reporting foundation.
Database-driven reporting
Build Better Power BI Dashboards From SQL Databases
Your SQL database already contains valuable business information. The challenge is turning that information into dashboards that people can understand and use.
Our Power BI services help you connect SQL databases to Power BI, prepare the data, build a reliable semantic model, write DAX measures, design interactive dashboards, configure refresh, and secure access.
Whether you need executive reporting, finance dashboards, sales dashboards, operations dashboards, customer analytics, SaaS analytics, or database-driven management reporting, we help you turn SQL data into clear business intelligence.
Start Your Power BI SQL Database Integration Project
If your business is ready to move from database records and manual exports to interactive Power BI dashboards, SQL database integration can help.
We can support your project from SQL connection and data modeling to Power BI dashboard development, DAX measures, scheduled refresh, gateway setup, security, and deployment.
From SQL Server, PostgreSQL, MySQL, Azure SQL, and cloud databases to professional Power BI reporting, we help you build dashboards that are accurate, secure, and decision-ready.
SEO FAQ
Frequently Asked Questions
Can Power BI connect to SQL databases?
Yes. Power BI can connect to SQL databases such as SQL Server, PostgreSQL, MySQL, Azure SQL Database, Oracle, Snowflake, BigQuery, Redshift, and other relational or cloud database platforms depending on available connectors and configuration.
What is Power BI SQL database integration?
Power BI SQL database integration is the process of connecting Power BI to a SQL database, modeling the data, creating DAX measures, designing dashboards, and configuring refresh or live query options for reporting.
Can Power BI connect to SQL Server?
Yes. Power BI can connect to SQL Server. For on-premises SQL Server databases, Power BI Service commonly uses the on-premises data gateway so reports can refresh after publishing.
What is the Power BI on-premises data gateway?
The on-premises data gateway is software installed in an on-premises network that acts as a bridge between on-premises data sources and Microsoft cloud services such as Power BI.
Should I use Import mode or DirectQuery for SQL databases?
Import mode is often better for faster dashboard performance and scheduled refresh. DirectQuery may be useful when data needs to remain in the database or when more current data is required, but it depends heavily on database performance and query design.
Can Power BI refresh SQL database reports automatically?
Yes. Power BI can refresh SQL database reports automatically when data source credentials, gateway settings where needed, and refresh schedules are configured correctly in Power BI Service.
What does a Power BI consultant do for SQL database integration?
A Power BI consultant helps define reporting goals, choose KPIs, plan the data model, recommend connection methods, design security, and ensure the dashboard supports business decisions.
What does a Power BI developer do with SQL databases?
A Power BI developer connects Power BI to SQL databases, transforms data, builds semantic models, creates DAX measures, designs dashboards, configures refresh, tests performance, and supports deployment.
Can Power BI use SQL views?
Yes. SQL views are often useful for Power BI reporting because they can simplify raw database structures, apply business logic, combine tables, and create reporting-ready datasets.
Is Power BI good for database reporting?
Yes. Power BI is strong for database reporting because it can connect to structured data, create interactive dashboards, support scheduled refresh, apply security rules, and turn SQL data into clear visual insights.