Excel Pivot Table Examples: Unlock Data Insights

Unleash the Power of Your Data with Pivot Tables

Drowning in data? Excel pivot tables transform raw numbers into actionable insights. This listicle provides seven practical Excel pivot table examples to boost your analytical skills. Learn how to create pivot tables for sales performance analysis, financial budgeting, HR data analysis, customer segmentation, project management, inventory tracking, and KPI dashboards. Discover how these examples can be applied across various business functions. Start analyzing your data effectively with these powerful tools.

1. Sales Performance Analysis Pivot Table

One of the most powerful applications of Excel pivot tables is in sales performance analysis. This type of pivot table provides a dynamic and interactive way to dissect sales data across various dimensions, offering valuable insights into trends, top performers, and areas for improvement. By consolidating large datasets into a digestible format, these pivot tables empower businesses to make data-driven decisions and adjust sales strategies effectively. They are a prime example of why "excel pivot table examples" are so frequently searched – they offer a practical solution to a common business need.

The Sales Performance Analysis Pivot Table works by summarizing data from a sales dataset. You select the data you want to analyze (e.g., revenue, units sold, profit margin) and then choose the categories you want to group it by (e.g., region, product category, salesperson, time period). The pivot table then aggregates the data according to your selections, displaying the results in a clear and concise table. The real power comes from the interactive nature of pivot tables, allowing you to drill down from a high-level overview to specific details with just a few clicks. For example, you could start by looking at total sales by region and then drill down to see sales by product category within each region, and even further down to see sales by individual salesperson for a specific product.

This approach is particularly useful when you need to analyze large and complex datasets quickly. Consider a retail chain using quarterly sales pivot tables to compare store performance across different regions, identifying both top performers and underperforming branches. A SaaS company might analyze subscription revenue by plan type and region, revealing which subscription plans are most popular in different geographic markets. Similarly, a manufacturing firm could track product line profitability across various markets, pinpointing profitable products and areas where margins are lagging. Learn more about Sales Performance Analysis Pivot Table

Key Features and Benefits:

• Multi-level grouping: Analyze sales data by various time periods (quarter, month, week) and other categories.
• Value fields: Display key metrics like revenue, units sold, and profit margin.
• Calculated fields: Calculate year-over-year growth, profit margins, and other custom metrics directly within the pivot table.
• Conditional formatting: Highlight high and low performers using color-coding or other visual cues.
• Slicers: Provide interactive filtering options for dynamic data exploration.
• Drill-down analysis: Enables exploration from macro to micro level insights.

Pros:

• Consolidates large sales datasets into actionable insights.
• Enables drill-down analysis from a macro to micro view.
• Supports data-driven sales strategy adjustments.
• Visualizes performance patterns across multiple dimensions.

Cons:

• Can become slow with extremely large datasets (100,000+ rows).
• Requires clean and consistent data formatting.
• May need refreshing when source data changes.

Tips for Effective Use:

• Use calculated fields for margins and growth percentages.
• Create multiple summary statistics (Sum, Average, Count, etc.).
• Add a timeline slicer for easy date filtering.
• Save common pivot table layouts as templates for future use.

2. Financial Budget vs. Actual Pivot Table

A Financial Budget vs. Actual Pivot Table is a powerful Excel pivot table example that provides a dynamic and interactive way to compare planned financial performance against actual results. This is a crucial tool for financial analysis, enabling finance teams and business leaders to monitor budget adherence, identify variances, and make informed decisions based on real-time data. It works by summarizing and aggregating data from a budget dataset and an actuals dataset, then calculating the difference between the two. This difference, often referred to as the variance, can be expressed in absolute terms or as a percentage.

This type of pivot table deserves a prominent place in any list of Excel pivot table examples because of its widespread applicability and tangible benefits in financial management. Its features include: variance calculations (both absolute and percentage), color-coded variance highlighting for quick identification of problem areas, grouping of expense categories and subcategories for detailed analysis, monthly, quarterly, and year-to-date (YTD) comparisons for tracking performance over time, and department/cost center filtering for focused insights.

For instance, a university can use this excel pivot table example to track departmental budget compliance, ensuring that each department stays within its allocated resources. A manufacturing company can monitor production costs against forecasts, identifying areas where actual costs exceed projections and implementing corrective actions. Similarly, a marketing agency can leverage this pivot table to compare campaign expenses to allocated budgets, optimizing spending and maximizing return on investment.

Pros:

• Provides immediate visibility into budget exceptions, enabling proactive intervention.
• Facilitates regular financial reviews and adjustments, fostering better budget control.
• Enables drill-down into problematic spending areas for root cause analysis.
• Supports forecasting based on actual spending patterns, improving accuracy.

Cons:

• Requires consistent budget data structure for accurate comparisons.
• Needs regular updates with actual expense data to maintain relevance.
• May require manual adjustments for one-time or unexpected expenses.

Tips for Effective Implementation:

• Calculated Items: Utilize calculated items within the pivot table to create variance formulas (e.g., Actual - Budget, (Actual - Budget) / Budget).
• Conditional Formatting: Apply conditional formatting rules to highlight significant variances, drawing attention to areas requiring immediate action. For example, use red for cost overruns and green for savings.
• Separate Pivot Tables: Create separate pivot tables for different fiscal periods (e.g., monthly, quarterly, annual) for more granular analysis.
• Report Filters: Employ report filters to create department-specific views, allowing managers to focus on their respective areas of responsibility.
• Comments: Add comments to explain major variances, providing context and insights for stakeholders.

This powerful tool is frequently used by Financial Planning and Analysis (FP&A) professionals, corporate finance departments, and members of the Microsoft Excel MVP community, demonstrating its effectiveness in real-world financial management scenarios. Using this excel pivot table example provides actionable insights, promotes data-driven decision making, and improves overall financial performance.

3. HR Employee Data Analysis Pivot Table

This powerful excel pivot table example demonstrates how HR professionals can leverage the tool for comprehensive employee data analysis. By consolidating data points like department, role, tenure, performance ratings, and compensation, HR teams gain valuable insights into workforce demographics, turnover trends, and overall performance. This type of analysis allows for data-driven decision-making regarding talent management, compensation adjustments, and diversity and inclusion initiatives. It transforms raw HR data into actionable intelligence, enabling proactive responses to potential workforce challenges.

This particular excel pivot table example stands out due to its multifaceted approach to HR data. It's not just about headcount; it delves into critical metrics like employee turnover rates, salary distribution, and performance rating breakdowns. Furthermore, demographic analysis capabilities (age, gender, location) contribute to a deeper understanding of the workforce composition. The ability to filter by department and manager provides granular insights into team-specific performance and potential issues.

Features like automated employee count and turnover rate calculations streamline the analytical process. The pivot table facilitates salary distribution analysis, enabling comparisons across departments and roles. Performance rating breakdowns offer a clear picture of individual and team performance. Demographic analysis strengthens diversity and inclusion tracking, allowing HR to identify potential areas for improvement. Finally, department and manager filtering allows for targeted investigations into specific teams or organizational units.

Pros:

• Consolidates dispersed HR data into actionable insights.
• Identifies departments with retention issues.
• Supports compensation review processes.
• Helps with diversity and inclusion tracking.

Cons:

• Requires careful handling of sensitive personnel data.
• May need anonymization for certain analyses.
• Time-sensitive data needs regular updates.

Examples of Successful Implementation:

• A tech company analyzing turnover rates by department and manager to identify management styles or departmental factors contributing to attrition.
• A hospital system reviewing staff certification compliance to ensure regulatory requirements are met.
• A global corporation analyzing compensation equity across regions to identify and address potential pay gaps.

Actionable Tips:

• Use grouping for experience bands and salary ranges for clearer analysis.
• Create calculated fields for turnover percentages within the pivot table.
• Use Value Field settings to display percentages of the total for better visualization.
• Add data validation to source data to ensure consistency and accuracy.
• Consider using Power Query to combine multiple HR data sources efficiently.

This HR Employee Data Analysis Pivot Table deserves its place in this list of excel pivot table examples because it showcases the transformative power of pivot tables in HR. It provides a robust framework for evidence-based decision-making, ultimately contributing to a more efficient and strategic approach to human resource management. Learn more about HR Employee Data Analysis Pivot Table. This method is particularly useful for HR Analytics professionals, as recognized by the Society for Human Resource Management (SHRM) and implemented in Corporate HR departments at Fortune 500 companies. Whether you're a data analyst, HR professional, or simply an Excel enthusiast, understanding the capabilities of this pivot table can significantly enhance your analytical skills and inform strategic decision-making.

4. Customer Segmentation Pivot Table

A Customer Segmentation Pivot Table is a powerful tool for analyzing customer behavior and creating targeted marketing strategies. This type of excel pivot table examples allows businesses to group customers based on various criteria such as purchase history, demographics, location, and overall value. By understanding these segments, businesses can tailor their marketing efforts, optimize resource allocation, and ultimately boost profitability. This approach leverages the flexibility of pivot tables to reveal key insights into customer data, making it an invaluable asset for data-driven decision making.

This type of pivot table works by aggregating and summarizing customer data according to the selected criteria. For example, you could segment customers based on their purchase recency (R), frequency (F), and monetary value (M) – a technique known as RFM analysis. The pivot table then calculates metrics like average purchase value, total revenue contribution, and customer counts for each segment. This allows you to quickly identify high-value customers, understand their characteristics, and tailor marketing campaigns specifically for them. Furthermore, incorporating geographic data allows for heat mapping through conditional formatting, visually highlighting regional variations in customer behavior. Product affinity analysis can also be incorporated, revealing which products are frequently purchased together within specific segments.

Examples of Successful Implementation:

• E-commerce Retailer: An online store segments its customers by purchase frequency and average order value to identify loyal, high-spending customers and target them with exclusive offers and loyalty programs.
• Subscription Service: A subscription-based business analyzes churn risk by customer segment, identifying at-risk segments based on demographics and usage patterns. This allows them to proactively implement retention strategies.
• B2B Company: A B2B organization categorizes accounts by industry and revenue potential to prioritize sales efforts and tailor their messaging to specific industry needs.

Actionable Tips for Creating Effective Customer Segmentation Pivot Tables:

• Use Grouping: Create custom RFM segments by grouping customers based on recency, frequency, and monetary value ranges.
• Calculated Fields: Add calculated fields for customer lifetime value (CLTV) to assess long-term customer profitability.
• Dynamic Named Ranges: Use dynamic named ranges to automatically include new customer data as it becomes available, ensuring the pivot table remains up-to-date.
• Power Pivot (for complex scenarios): Consider using Power Pivot for managing complex relationships between multiple data tables and performing advanced calculations.
• Value Grouping: Group monetary values into ranges (e.g., $0-$100, $101-$500) for clearer segmentation and analysis.

Pros:

• Reveals hidden patterns in customer behavior.
• Supports targeted marketing campaign development.
• Identifies the most profitable customer segments.
• Helps optimize customer acquisition costs.

Cons:

• Requires integration of multiple data sources.
• May need regular updating as customer behavior changes.
• Complex segments might require advanced pivot table knowledge.

This Customer Segmentation Pivot Table example deserves its place in this list because it highlights a highly practical and valuable application of pivot tables for businesses of all sizes. Its ability to dissect customer data and provide actionable insights makes it a crucial tool for marketing, sales, and customer relationship management. By leveraging the features outlined above, businesses can gain a competitive edge by understanding their customer base and tailoring their strategies accordingly. This approach appeals to a broad audience, from data analysts seeking advanced analytical techniques to business owners looking for ways to improve their bottom line.

5. Project Management Tracking Pivot Table

This Excel pivot table example demonstrates how powerful a simple spreadsheet can be for managing complex projects. A Project Management Tracking Pivot Table offers a centralized view of multiple projects, enabling effective monitoring of progress, resource allocation, budget adherence, and timeline compliance. This makes it a valuable tool for project managers, team leads, and stakeholders seeking a high-level overview or detailed insights into project portfolios. This approach is particularly beneficial as an example of how Excel pivot tables can extend beyond simple data summarization and become powerful business intelligence tools.

How it Works:

The pivot table consolidates project data, including task status, assigned resources, budgeted and actual costs, start and end dates, and dependencies. By manipulating the pivot table fields, users can analyze data across various dimensions. For instance, you could view project progress by department, identify potential resource bottlenecks by individual, or track budget overruns by project phase. This dynamic analysis capability makes it a powerful tool for data-driven decision-making.

Features and Benefits:

• Task Status Tracking: Monitor the status of individual tasks (not started, in progress, completed, delayed) to quickly assess overall project health.
• Resource Allocation and Utilization Metrics: Analyze resource assignments and utilization percentages to optimize resource allocation and identify potential bottlenecks.
• Budget Tracking with Variance Calculation: Track budgeted versus actual costs, calculate variances, and identify areas of potential cost overruns.
• Timeline Visualization with Conditional Formatting: Visualize project timelines using Gantt chart-like representations within the pivot table and apply conditional formatting to highlight late tasks or milestones.
• Dependencies and Critical Path Highlighting (Advanced): While complex, incorporating dependency information can allow visualization of critical path elements, further enhancing project management capabilities.

Pros:

• Provides an at-a-glance view of project portfolio status.
• Identifies resource bottlenecks before they become critical.
• Supports data-driven project prioritization and resource allocation.
• Enables effective resource reallocation based on real-time data.

Cons:

• Requires consistent and accurate task status updates.
• May need integration with dedicated project management software for more complex projects.
• Visualizing complex projects with numerous dependencies can be challenging within a pivot table.

Examples of Successful Implementation:

• An IT department tracking multiple system implementation projects, including server upgrades, software deployments, and user training.
• A construction firm monitoring multiple building projects, tracking contractor performance, material deliveries, and inspection approvals.
• A marketing agency managing client campaigns, monitoring deliverable completion, budget spend, and campaign performance metrics.

Actionable Tips for Using Excel Pivot Table Examples like this:

• Calculated Fields: Use calculated fields to generate metrics like percentage complete or cost variance.
• Timeline Slicers: Add timeline slicers to filter data for specific date ranges and analyze progress within defined periods.
• Conditional Formatting: Create conditional formatting rules to visually highlight late tasks or budget overruns.
• Power Query Integration: Leverage Power Query (Get & Transform) to import data from various sources, including project management tools.
• Customized Views: Create separate pivot table views for different stakeholders (e.g., executive summary for management, detailed task view for team leads).

Why This Example Deserves Its Place in the List:

This example highlights the versatility of Excel pivot tables beyond basic data aggregation. It demonstrates how a simple spreadsheet can become a powerful project management tool, providing valuable insights for improved decision-making and project success. This is particularly relevant for individuals and organizations that may not have access to dedicated project management software but still need a robust method for tracking and analyzing project data. This makes it an excellent "excel pivot table example" for users of all skill levels. This approach has been popularized by organizations like the Project Management Institute (PMI) and within Project Management Offices (PMOs), showcasing the practical application of this technique within professional project management environments. It is also frequently used in Microsoft's examples of Project team integration with Excel.

6. Inventory Management Pivot Table

This Excel pivot table example focuses on optimizing inventory control. An inventory management pivot table provides a powerful way to analyze stock levels, turnover rates, reorder points, and seasonal demand patterns. This analysis is crucial for operations and supply chain managers seeking to optimize inventory investments and prevent costly stockouts or overstock situations. This type of pivot table deserves a place on this list because it showcases the versatility of Excel in tackling complex business challenges, specifically within inventory control, and offers significant ROI through cost savings and improved efficiency.

How it Works:

The core function of this pivot table is to aggregate and summarize inventory data from various sources. By pulling data related to stock levels, sales, purchasing, and potentially even manufacturing, the pivot table allows users to quickly identify trends and patterns. Calculated fields within the pivot table can then be used to determine key metrics such as inventory turnover ratio and days of supply. This allows for informed decision-making regarding purchasing, production, and overall inventory strategy.

Features and Benefits:

• Stock Level Monitoring across Locations: Gain a consolidated view of inventory levels across multiple warehouses, stores, or distribution centers.
• Inventory Turnover Ratio Calculations: Understand how quickly inventory is sold and replenished, identifying potential bottlenecks or slow-moving items.
• Days of Supply Metrics: Calculate how long the current inventory will last based on current demand, enabling proactive reordering.
• ABC Analysis for Inventory Prioritization: Categorize inventory based on value and consumption, allowing for focused management of high-value items.
• Seasonal Demand Pattern Visualization: Identify seasonal trends in demand to anticipate fluctuations and adjust inventory levels accordingly.

Pros:

• Reduces Excess Inventory Carrying Costs: By identifying and addressing overstocked items, you can minimize storage costs, obsolescence, and tied-up capital.
• Helps Prevent Costly Stockouts: Proactive monitoring of stock levels and reorder points helps ensure sufficient inventory to meet customer demand.
• Identifies Slow-Moving Inventory: Pinpoint products with low turnover rates to implement strategies for liquidation or price adjustments.
• Supports Data-Driven Purchasing Decisions: Provides insights into optimal reorder quantities and timing, leading to more efficient procurement processes.

Cons:

• Requires Regular Inventory Count Updates: The accuracy of the pivot table analysis relies on accurate and up-to-date inventory data.
• May Not Account for Lead Time Variability: External factors like supplier delays can impact inventory levels and aren't always captured within a standard pivot table.
• Complex Supply Chains May Need Additional Analysis Tools: For highly complex supply chains, dedicated inventory management software may be necessary for a more comprehensive analysis.

Examples of Successful Implementation:

• Retail Chain Optimizing Inventory Across Multiple Store Locations: A retail chain can use this pivot table to analyze sales data across all stores, optimize stock allocation, and minimize stockouts in high-demand locations.
• Manufacturing Facility Managing Raw Materials and Finished Goods: A manufacturing facility can track raw material consumption, finished goods inventory, and production schedules to optimize production runs and minimize waste.
• Hospital System Tracking Medical Supplies and Pharmaceuticals: A hospital can use this pivot table to monitor critical medical supplies, ensuring adequate stock levels for patient care and minimizing expiration-related losses.

Actionable Tips:

• Create calculated fields for inventory turnover rates. This allows for dynamic analysis within the pivot table.
• Use conditional formatting to highlight items below reorder points. This provides a visual alert for items requiring immediate attention.
• Add time-based analysis to identify seasonal patterns. Grouping data by month or quarter can reveal recurring trends in demand.
• Consider using Power Pivot for supplier performance correlation. Integrating supplier data can provide insights into lead time variability and potential supply chain risks.
• Create ABC analysis with calculated fields (80/20 rule). Categorize inventory based on value and volume to prioritize management efforts.

Learn more about Inventory Management Pivot Table

This Excel pivot table example is particularly valuable for data analysts and business intelligence professionals looking to create insightful reports, accountants and finance teams responsible for inventory valuation and cost control, and spreadsheet enthusiasts seeking to leverage the power of pivot tables for practical applications. This detailed analysis provided by an inventory management pivot table is a key example of how Excel can be used for efficient and informed decision making, ultimately driving business success.

7. KPI Dashboard Pivot Table

A KPI Dashboard Pivot Table is a powerful way to leverage the flexibility of Excel pivot tables for high-level business reporting. This sophisticated approach goes beyond simple data aggregation and transforms your spreadsheet into an interactive business intelligence dashboard. It provides a centralized view of your Key Performance Indicators (KPIs) across various departments, enabling data-driven decision-making and offering a holistic understanding of your organization's performance. This is a prime example of effective excel pivot table examples, demonstrating the tool's potential beyond basic data summarization.

Here’s how it works: you connect multiple pivot tables on a single worksheet, each drawing from the same or different data sources. These interconnected pivot tables display KPIs related to different aspects of your business, such as sales, finance, operations, and HR. By using features like slicers and timelines, you can interactively filter the data across all connected pivot tables, allowing for dynamic analysis and drill-down capabilities. Visualizations such as sparklines and mini-charts embedded within the pivot tables enhance the dashboard's ability to showcase trends and comparisons between target and actual performance.

For more advanced tracking and analysis of financial data in particular, creating a dedicated spreadsheet with clear structures can be highly beneficial. A well-structured tableau suivi comptable Excel can provide a robust foundation for your financial reporting. Source: Tableau suivi comptable excel: Optimisez votre gestion from Bizyness.

Examples of Successful Implementation:

• Executive Dashboard for C-suite Weekly Business Reviews: This dashboard would consolidate KPIs from all departments, providing a high-level overview of the company's weekly performance.
• Franchisee Performance Dashboard Comparing Locations: This dashboard allows for comparison of key metrics (sales, customer satisfaction, etc.) across different franchise locations.
• Manufacturing Operations Dashboard Tracking Production Efficiency Metrics: This dashboard monitors KPIs like production output, defect rate, and downtime across different production lines.

Tips for Creating Effective KPI Dashboards:

• Limit KPIs: Focus on the 5-7 most important KPIs for each area to avoid overwhelming the dashboard.
• Consistent Formatting: Use consistent formatting and color coding to ensure clarity and readability.
• Interactive Elements: Incorporate slicers and timelines to allow users to filter and explore the data dynamically.
• Visualizations: Use pivot charts alongside pivot tables and consider incorporating sparklines and mini-charts to highlight trends.
• Dynamic Titles: Implement dynamic titles that update with filter selections to provide context.
• Data Validation: Add data validation for threshold adjustments, allowing users to customize performance targets.

Pros:

• Provides a single-view snapshot of business performance.
• Enables data-driven executive decision making.
• Highlights correlations between different business areas.
• Supports regular business review meetings.

Cons:

• Can become complex with too many metrics.
• Requires careful dashboard design for clarity.
• May need frequent refreshing for real-time decisions.
• Could require significant initial setup time.

This KPI Dashboard Pivot Table approach is a powerful excel pivot table example, particularly useful for those needing a comprehensive, real-time overview of their business performance. Its interconnected nature and interactive elements make it a valuable tool for executives, managers, and analysts alike. It earns its place in this list by demonstrating the true potential of Excel pivot tables to move beyond basic data analysis and into the realm of dynamic business intelligence.

7 Excel Pivot Table Use Cases Comparison

Pivot Table Type	Implementation Complexity 🔄	Resource Requirements ⚡	Expected Outcomes 📊	Ideal Use Cases 💡	Key Advantages ⭐
Sales Performance Analysis	Medium - Multi-level grouping and slicers	Moderate - Clean data required, large datasets may slow	Identify trends, top performers, growth patterns	Retail, SaaS, Manufacturing sales analysis	Drill-down analysis, multi-dimensional insights
Financial Budget vs. Actual	Medium - Variance formulas, conditional formatting	Moderate - Consistent budget & actual data needed	Track budget variances, forecast, control expenses	Universities, manufacturing, marketing budget control	Immediate variance visibility, supports forecasting
HR Employee Data Analysis	Medium - Sensitive data handling, grouping	Moderate - Regular updates, anonymization may be needed	Workforce patterns, turnover, compensation analysis	Tech firms, hospitals, global corporations	Consolidates HR data, supports retention and equity
Customer Segmentation	High - Integrates multiple sources, complex segments	High - Multiple data sources and frequent updates	Reveals behavioral patterns, customer targeting	E-commerce, subscription services, B2B marketing	Identifies profitable segments, optimizes spend
Project Management Tracking	Medium-High - Dependencies, timeline visuals	Moderate - Needs consistent updates and possible integrations	Track project status, resource allocation, bottlenecks	IT, construction, marketing project oversight	At-a-glance portfolio view, resource management
Inventory Management	Medium - ABC analysis, seasonal trends	Moderate - Regular inventory updates required	Optimize stock levels, reduce costs, prevent stockouts	Retail chains, manufacturing, hospital supply chains	Reduces carrying costs, identifies slow movers
KPI Dashboard	High - Multiple connected tables, trend visuals	High - Significant initial setup, frequent data refresh	Holistic business performance snapshot, executive insights	Executive reviews, franchise, operations monitoring	Comprehensive overview, supports decision making

Level Up Your Excel Skills with SumproductAddict

From analyzing sales performance and financial budgets to managing projects and inventory, the diverse Excel pivot table examples explored in this article demonstrate the transformative power of this tool. Mastering these techniques—creating dynamic dashboards, segmenting customer data, and tracking key performance indicators (KPIs)—empowers data analysts, finance professionals, and spreadsheet enthusiasts alike to extract actionable insights from complex datasets. These skills are invaluable for informed decision-making, improved efficiency, and ultimately, driving business success. Remember, the ability to quickly summarize, analyze, and visualize data is a critical asset in today's data-driven world.

These examples are just the starting point. To truly unlock the full potential of Excel pivot tables, continuous learning and exploration are key. Dive deeper into advanced features, experiment with different data sources, and practice building increasingly complex reports. As you refine your skills, you'll be amazed at the insights you can uncover.

Want to celebrate your newfound Excel prowess and connect with a community of fellow spreadsheet enthusiasts? Head over to SumproductAddict for a unique collection of Excel-themed apparel and accessories designed to inspire and empower data lovers like you. From stylish t-shirts to practical desk mats, SumproductAddict helps you express your passion for pivot tables and beyond!

Article created using Outrank