Connect Microsoft SQL Server and Microsoft Excel.

Connect Microsoft SQL Server data ...

... to Microsoft Excel, seamlessly.

Integration #1: Microsoft SQL Server

Integration #2: Microsoft Excel

Customer Contract Value + Budget Sheet Revenue Forecast = Revenue Attainment Rate

Asset Purchase Date + Asset Tracker Depreciation Amount = Asset Value Timeline

Employee Certification Count + Training Plan Budget Allocated = Skills Investment ROI

Invoice Payment Status + Cash Flow Monthly Projection = Collection Efficiency

Software License Expiration Date + Renewal Tracker Renewal Cost = License Cost Optimization

Project Completion Percentage + Resource Calendar Hours Allocated = Project Resource Efficiency

Vendor Category + Expense Report Monthly Spend = Vendor Spend Analysis

SLA Target Percentage + KPI Tracker Actual Performance = SLA Compliance Score

Customer Industry Segment + Revenue Analysis Segment Total = Segment Profitability

Inventory Current Stock + Order Planning Reorder Point = Stock Optimization

Employee Office Location + Staff Schedule Shift Assignment = Coverage Distribution

Contract End Date + Sales Pipeline Renewal Value = Renewal Risk Score

Department Code + Cost Analysis Allocated Budget = Department Cost Control

Asset Warranty Status + Maintenance Schedule Service Cost = Maintenance Cost Forecast

Extract true business intelligence insights in seconds.

Customer Contract Value

Budget Sheet Revenue Forecast

Revenue Attainment Rate

Try it

Asset Purchase Date

Asset Tracker Depreciation Amount

Asset Value Timeline

Try it

Employee Certification Count

Training Plan Budget Allocated

Skills Investment ROI

Try it

Invoice Payment Status

Cash Flow Monthly Projection

Collection Efficiency

Try it

Software License Expiration Date

Renewal Tracker Renewal Cost

License Cost Optimization

Try it

Project Completion Percentage

Resource Calendar Hours Allocated

Project Resource Efficiency

Try it

Vendor Category

Expense Report Monthly Spend

Vendor Spend Analysis

Try it

SLA Target Percentage

KPI Tracker Actual Performance

SLA Compliance Score

Try it

Customer Industry Segment

Revenue Analysis Segment Total

Segment Profitability

Try it

Inventory Current Stock

Order Planning Reorder Point

Stock Optimization

Try it

Employee Office Location

Staff Schedule Shift Assignment

Coverage Distribution

Try it

Contract End Date

Sales Pipeline Renewal Value

Renewal Risk Score

Try it

Department Code

Cost Analysis Allocated Budget

Department Cost Control

Try it

Asset Warranty Status

Maintenance Schedule Service Cost

Maintenance Cost Forecast

Try it

Choose a data point...

...literally any one you like

Increased efficiency and profits

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Curious? Explore more

Microsoft SQL Server

Microsoft Excel

data integration possibilities.

Combining Microsoft SQL Server and Microsoft Excel data has never been so easy...

Unlock the full potential of your operational and financial data by integrating Microsoft SQL Server and Excel through Resplendent Data. This seamless pairing brings together transactional databases and flexible analytics, giving you visibility into key metrics like inventory optimization, coverage distribution, and contract renewal risk scores—all in the context of your broader business data.

By connecting these platforms, you turn siloed information into actionable insights, enabling faster, smarter decisions that improve efficiency, reduce risk, and drive greater profitability.

Get Started Free See The Demo

How it works...

Resplendent Data transforms raw data from the tools and apps you're already using into actionable, visual dashboards in a few short steps.

Integrations

These are your apps and databases that contain data waiting to be visualized.

Datasets

Each dataset represents one category of data, such as clients, tasks, tickets, or invoices.

Invoices

Clients

Time Entries

Tickets

Joined Datasets

Joined datasets are created by combining data from two standard datasets.

All Data Combined

Modified Datasets

Modified datasets clean or modify data before visualization, such as replacing text or performing calculations.

Filter internal tickets

Remove duplicate tickets

Standardize ticket types

Widgets

Widgets turn the data from any dataset into a visual representation.

Simple

A basic example of data flowing directly from the source to dashboard widgets.

Integrations

These are your apps and databases that contain data waiting to be visualized.

Datasets

Each dataset represents one category of data, such as clients, tasks, tickets, or invoices.

Invoices

Widgets

Widgets turn the data from any dataset into a visual representation.

Advanced

A robust example of preparing data for even more helpful insights and visualization.

Integrations

These are your apps and databases that contain data waiting to be visualized.

Datasets

Each dataset represents one category of data, such as clients, tasks, tickets, or invoices.

Clients

Time Entries

Tickets

Joined Datasets

Joined datasets are created by combining data from two standard datasets.

All Data Combined

Modified Datasets

Modified datasets clean or modify data before visualization, such as replacing text or performing calculations.

Filter internal tickets

Remove duplicate tickets

Standardize ticket types

Widgets

Widgets turn the data from any dataset into a visual representation.

Ready to see it (and believe it)?

Let's dive in. Start a free account or schedule a demo and we'll walk you through it.

P.S. You can do both and we'll use your own data for the demo.

Get Started Free See The Demo