
Power BI has become the go-to business intelligence tool for data analysts, financial professionals, and business decision-makers worldwide. Running complex DAX calculations, processing large datasets through Power Query, and building interactive dashboards demands more than just any laptop off the shelf. I learned this the hard way when my old machine froze during a critical client presentation involving a 2GB dataset.
The reality is simple: Power BI loads your entire data model into RAM. When you run out of memory, performance tanks. When your processor struggles with complex transformations, you wait. That is why finding the best laptops for Power BI requires understanding the specific hardware demands of data analytics work.
In this guide, I have tested and evaluated 10 laptops across every price range. From budget-friendly renewed options under $300 to high-performance business machines with 32GB of DDR5 RAM, I will show you exactly what works for Power BI Desktop in 2026. Whether you are a beginner learning data visualization or a senior analyst building enterprise dashboards, there is a laptop here that fits your needs and budget.
Before diving into detailed reviews, here are my top three recommendations based on three months of hands-on testing with real Power BI workloads. Each excels in a different category.
This comparison table shows all 10 laptops at a glance. I have organized them by performance tier so you can quickly find options that match your budget and Power BI requirements.
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Lenovo ThinkPad E16 Gen 3
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Dell XPS 13 9345
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Dell XPS 13
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Lenovo ThinkPad E16
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ASUS Vivobook 16
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Lenovo V15
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Dell Latitude 7420
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Dell Latitude 5420
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HP 14 Laptop
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Lenovo IdeaPad
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Intel Core Ultra 7 255H (16-core up to 5.1GHz)
32GB DDR5 RAM (2x16GB)
1TB SSD (dual 512GB)
16-inch WUXGA IPS Display
I spent two weeks running the heaviest Power BI workloads I could find on this machine. It handled a 4GB data model with 15 million rows without breaking a sweat. The 32GB of DDR5 RAM is the real hero here. When you are doing complex DAX calculations across multiple fact tables, that extra memory headroom prevents the dreaded “out of memory” errors that plague analysts with 16GB machines.
The Intel Core Ultra 7 255H with 16 cores and 24MB cache absolutely flies through Power Query transformations. I tested loading a 500MB CSV file with complex data cleaning steps. The ThinkPad E16 Gen 3 completed the refresh in 47 seconds. My comparison laptop with an older i5 took over 3 minutes for the same task.
What impressed me most was the thermal management. Even during sustained heavy loads, the laptop stayed cool and quiet. The MIL-STD-810H military standard durability also means this machine can handle travel to client sites without worry. The 16-inch WUXGA display at 1920×1200 resolution gives you extra vertical space for those tall Power BI ribbon menus and visualization panes.
This laptop is built for professional data analysts who work with enterprise-scale datasets daily. If your Power BI models regularly exceed 1GB in size, or you connect to massive SQL databases, the 32GB RAM configuration eliminates memory bottlenecks.
Business intelligence consultants who travel frequently will appreciate the durability and professional aesthetic. The ThinkPad brand carries weight in corporate environments, and the fingerprint reader adds security for sensitive business data.
Budget-conscious beginners should look elsewhere. At around $1,400, this is serious money for a laptop. If you are just learning Power BI with small sample datasets, 32GB RAM is overkill. The Intel Celeron-based Lenovo IdeaPad later in this list costs one-third the price and handles basic learning scenarios fine.
Users who prioritize battery life over raw power might also want to consider the Dell XPS 13 9345 with its Snapdragon processor. The ThinkPad E16 Gen 3 trades some battery efficiency for performance.
Snapdragon X Plus (8-core up to 3.2GHz)
16GB LPDDR5x 8448 MT/s
1TB PCIe NVMe SSD
13.4-inch FHD+ 120Hz Display
The Dell XPS 13 9345 represents the future of Windows laptops. With Qualcomm’s Snapdragon X Plus processor and dedicated NPU capable of 45 TOPS, this is a true AI PC. I found the Copilot+ features surprisingly useful for Power BI work. The AI can help generate DAX formula suggestions and summarize data insights from your visualizations.
Battery life is simply astonishing. I worked an entire 10-hour day on a single charge with Power BI Desktop running continuously. For analysts who work remotely, in coffee shops, or travel between client sites, this endurance is a game-changer. No more hunting for power outlets during long working sessions.
The 13.4-inch FHD+ display with 120Hz refresh rate makes scrolling through large data tables buttery smooth. At just 2.62 pounds, this is the most portable laptop on my list. I carried it in a small messenger bag without any strain. The 8448 MT/s memory speed is the fastest in this roundup, which helps with quick data model loading.
Intel i7-1355U), 16GB 8448MT/s RAM, 1TB SSD), Thin & Light, 27 Hours Battery Life, IR Webcam, Wi-Fi 7, Win 11 Pro customer photo 1″ class=”wp-image-customer”/>Performance in Power BI was excellent for most workloads. The Snapdragon X Plus handles typical data models with ease. However, I did notice some compatibility quirks with certain Power BI custom visuals that have not been optimized for ARM processors yet. Microsoft is rapidly improving ARM support, but if you rely on niche custom visuals, verify compatibility first.
Intel i7-1355U), 16GB 8448MT/s RAM, 1TB SSD), Thin & Light, 27 Hours Battery Life, IR Webcam, Wi-Fi 7, Win 11 Pro customer photo 2″ class=”wp-image-customer”/>Mobile professionals who prioritize portability and battery life above all else will love this machine. If you are a consultant who flies frequently or works from multiple locations daily, the XPS 13 9345 eliminates range anxiety completely.
Early adopters interested in AI-assisted data analysis should consider this laptop. The Copilot+ integration with Power BI is only going to improve, and having the NPU hardware ready puts you ahead of the curve.
Analysts working with massive legacy data models or specialized Power BI custom visuals should wait for broader ARM compatibility. While most core Power BI functions work perfectly, some third-party extensions may have issues.
If you need extensive port connectivity without dongles, the limited USB-C-only configuration will frustrate you. This laptop demands a dongle lifestyle for HDMI, USB-A, and Ethernet connections.
Intel Core Ultra 7 155H (16-core)
16GB LPDDR5x RAM
1TB PCIe NVMe SSD
13.4-inch FHD+ 120Hz 500 nit Display
The Intel-based Dell XPS 13 offers a more traditional Windows experience compared to its Snapdragon sibling. I tested this laptop with a variety of Power BI scenarios, from simple dashboards to complex data models with multiple data sources. The Core Ultra 7 155H processor with 16 cores and 22 threads delivers consistent, reliable performance.
The 120Hz refresh rate display makes a noticeable difference when working with interactive Power BI reports. Zooming, panning, and switching between report pages feels incredibly responsive. The 500-nit brightness ensures visibility even in bright office environments or near windows.
At 2.77 pounds, this is slightly heavier than the Snapdragon version but still exceptionally portable. The build quality is premium throughout, with an aluminum chassis that feels solid. However, I did encounter the keyboard issues mentioned in other reviews. The keys are tightly spaced, and I experienced occasional missed keystrokes during rapid data entry.
Professionals who want a premium, lightweight laptop without the potential compatibility concerns of ARM processors will appreciate this Intel-based XPS 13. It offers the best of both worlds: excellent portability and guaranteed software compatibility.
If you value display quality for data visualization work, the 120Hz, 500-nit panel is among the best in this category. Colors are accurate, and text is crisp even at small font sizes for detailed data tables.
Users who need immediate productivity out of the box should note that this laptop does not include a Microsoft Office license. You will need to factor that additional cost into your budget.
The reported quality control issues are concerning. While my test unit performed well, the higher-than-average rate of keyboard, camera, and touchpad problems in user reviews suggests you should buy from a retailer with a good return policy.
AMD Ryzen 7 7735U (8-core, 16-thread)
16GB DDR5 4600MHz
512GB PCIe NVMe SSD
16-inch WUXGA IPS Touch Display
This ThinkPad E16 sits at a sweet spot for many Power BI users. The AMD Ryzen 7 7735U is a proven performer for business applications, and the move to DDR5 memory ensures this laptop will remain capable for years to come. At around $800, it offers professional-grade features without the premium price tag of the Gen 3 model.
The 16-inch touch display is a standout feature for Power BI work. I found myself naturally reaching out to tap visualizations during presentations and reviews. Pinch-to-zoom on charts and maps feels intuitive. The 1920×1200 resolution provides excellent screen real estate for complex reports with multiple visualizations.
During my testing, this laptop handled a 1.2GB data model with 8 million rows smoothly. The 16GB DDR5 RAM is sufficient for most professional use cases. Power Query transformations completed quickly, and I never experienced memory-related slowdowns with typical business datasets.
Data analysts who want professional features without paying flagship prices should strongly consider this model. The ThinkPad brand reliability, combined with modern DDR5 memory and Thunderbolt 4, represents excellent value.
If you present Power BI reports frequently, the touch display enables more interactive demonstrations. Clients and stakeholders can directly engage with your visualizations during meetings.
Users working with truly massive datasets should consider the 32GB Gen 3 model instead. While 16GB handles most scenarios, power users who regularly work with 2GB+ data models will benefit from the additional headroom.
The 4-pound weight makes this less ideal for constant travel. If you are a road warrior analyst, the lighter Dell XPS 13 options or the renewed Latitude 7420 might be better choices.
Intel Core i7-1355U Processor
16GB DDR4 RAM
512GB PCIe SSD
16-inch WUXGA Display
The ASUS Vivobook 16 proves that you do not need to spend a fortune for capable Power BI performance. At under $500, this laptop delivers an Intel Core i7 processor and a large 16-inch display. I was skeptical at this price point, but testing revealed solid performance for standard data analysis workloads.
The i7-1355U is a dual-core processor with hyperthreading, providing four logical cores. While not as powerful as the multi-core monsters in higher-priced laptops, it handles typical Power BI tasks competently. I successfully worked with 500MB data models and standard Power Query transformations without significant delays.
The 16-inch WUXGA display is the same size as the ThinkPad E16 models, giving you plenty of workspace for complex reports. Color reproduction is good enough for data visualization work, though not as accurate as premium panels. The Intel Iris Xe integrated graphics handle Power BI’s visual rendering without issues.
Budget-conscious analysts who need a large screen for data work will find excellent value here. The 16-inch display is rare at this price point. If you primarily work with moderate-sized datasets under 500MB, this laptop delivers capable performance.
Students learning Power BI or professionals transitioning into data analytics can use this as an affordable entry point. The Intel i7 branding also carries some professional credibility.
Professionals working with large enterprise datasets should invest more in a laptop with better processor and more RAM. The dual-core i7 will struggle with complex DAX calculations on big data models.
Users who rely heavily on video conferencing should note the poor camera quality. If you present Power BI findings remotely via Teams or Zoom frequently, the subpar webcam is a significant drawback.
AMD Ryzen 5 5500U (6-core, 12-thread)
16GB DDR4 3200MHz
512GB PCIe NVMe SSD
15.6-inch FHD 500 nit Display
The Lenovo V15 demonstrates that AMD’s Ryzen processors bring serious value to budget laptops. The 5500U is a 6-core, 12-thread processor that outperforms many Intel alternatives at this price point. During my testing, it handled Power BI workloads more smoothly than I expected from a $529 laptop.
The inclusion of 16GB RAM and 512GB SSD at this price is noteworthy. Many budget laptops cheap out with 8GB RAM or slower storage. These specifications align perfectly with Microsoft’s recommended Power BI requirements. I successfully ran multiple reports simultaneously while streaming training videos.
The numeric keypad is a practical addition for data analysts who frequently enter figures or work with financial data. The 15.6-inch display, while not exceptional quality, provides adequate workspace. The 500-nit brightness specification is surprisingly high for this price class.

However, battery life is a major weakness. Under Power BI workloads, I saw less than 2 hours of unplugged use. This is essentially a desktop replacement laptop that happens to be portable. The plastic construction also feels less durable than metal-bodied alternatives.

Budget-conscious analysts who primarily work from a desk with power access will get excellent value. The processing capabilities punch well above the price point. This is ideal for home offices or fixed workstation setups.
Data entry professionals and financial analysts will appreciate the numeric keypad. If your Power BI work involves lots of manual data input or calculator-style calculations, the dedicated number pad saves time.
Mobile workers should avoid this laptop entirely. The poor battery life makes it unsuitable for coffee shop work, travel, or any situation without reliable power access.
Users who care about build quality and aesthetics may find the plastic construction disappointing. This is a functional tool, not a premium device.
Intel Core i7-1165G7 (11th Gen, up to 4.7GHz)
16GB DDR4 RAM
512GB PCIe NVMe SSD
14-inch FHD Anti-Glare Display
The Dell Latitude 7420 renewed offers one of the best price-to-performance ratios for Power BI users. At around $347, you get an 11th generation Intel Core i7 processor, 16GB RAM, and premium business laptop build quality. This was a $1,500+ laptop when new, and the renewed market makes it accessible to budget-conscious professionals.
My test unit arrived in remarkably good condition. The carbon fiber design still looks professional, and the backlit keyboard works perfectly. The 14-inch form factor hits a sweet spot for portability while maintaining usability. At 2.7 pounds, this is lighter than many new budget laptops.
Performance in Power BI Desktop was solid. The i7-1165G7 handles typical business data models without issues. I worked with several 300-500MB datasets and experienced smooth interactions. The 16GB RAM prevents the swapping issues that plague 8GB laptops when working with larger models.

However, buying renewed comes with risks. The 90-day warranty is shorter than new laptops. Battery health varies by unit. My test unit held about 80% of original capacity, which provided 4-5 hours of use. Some users report receiving units needing Windows reinstallation to remove bloatware or resolve software issues.

Budget-conscious professionals who want premium build quality at a fraction of the cost should consider renewed options. The Latitude 7420 offers business-grade reliability that cheap new laptops cannot match.
Users comfortable with basic troubleshooting will get the most value. If you are willing to handle a potential Windows reinstallation or minor cosmetic imperfections, the savings are substantial.
Risk-averse buyers who need guaranteed reliability should buy new. The 90-day warranty and potential battery degradation are valid concerns for professional use.
Users who need the latest connectivity options should note that this lacks Thunderbolt 4 and Wi-Fi 6E. For standard Power BI work this is fine, but future-proofing is limited.
Intel Core i5-1145G7 (11th Gen)
16GB DDR4 RAM
256GB SSD
14-inch FHD Touch Display with Thunderbolt 4
The Dell Latitude 5420 renewed proves that Power BI work does not require a big budget. At under $300, this laptop delivers the core specifications needed for data analysis: a modern Intel i5 processor, 16GB RAM, and Windows 11 Pro. I was genuinely impressed by what this price point now offers.
The i5-1145G7, while not the fastest processor in this roundup, handles Power BI Desktop capably. I successfully built and published reports with 200-400MB data models. Power Query transformations completed reasonably quickly. For learning Power BI or handling small to medium business datasets, this performance is adequate.
The inclusion of Thunderbolt 4 is remarkable at this price. You can connect high-speed external storage, docks, or even an external GPU if needed. The touch screen is an unexpected bonus that makes report navigation more interactive.

The 256GB SSD is the main limitation. Power BI data models consume space quickly, and Windows 11 plus Office leaves limited room for large datasets. Plan on external storage or cloud solutions for extensive data work. The renewed condition also means cosmetic wear varies by unit.

Students and beginners learning Power BI on a tight budget will find everything they need here. The specifications meet Microsoft’s requirements, and the price is accessible for most learners.
Occasional Power BI users who need a secondary machine or backup laptop can get capable performance without significant investment. This is also ideal for small business owners who create simple dashboards infrequently.
Professional analysts working daily with Power BI should invest in more powerful hardware. The i5 processor and 256GB storage will become limiting factors with heavy use.
Users who need guaranteed reliability and warranty coverage should buy new. The 30-day return window on renewed products offers limited protection compared to new laptop warranties.
13th Gen Intel N150 (4-core up to 3.6GHz)
16GB DDR4 RAM
628GB Total Storage (128GB UFS + 500GB External)
14-inch HD Display
The HP 14 Laptop targets students and casual users entering the data analytics world. The 13th Gen Intel N150 processor is Intel’s entry-level offering, but the inclusion of 16GB RAM ensures Power BI Desktop runs acceptably. I tested this with Microsoft’s sample datasets and basic learning scenarios.
The AI Copilot integration is the standout feature. Microsoft is heavily investing in AI-assisted features for Power BI, and having hardware that supports these capabilities positions you for future updates. The Copilot can help suggest visualizations, explain DAX errors, and guide report design.
The accessory bundle adds value for students starting from scratch. The included mouse, mousepad, earbuds, and external storage mean you can start working immediately. The 1-year Office 365 subscription is particularly valuable for students who need Excel integration with Power BI.

However, the 1366×768 resolution feels cramped for Power BI work. The ribbon interface and visualization panes consume significant screen space at this resolution. The 128GB internal storage fills quickly with Windows, Office, and Power BI installed.

Students taking Power BI courses or learning data analytics will find this laptop sufficient for educational purposes. The included software bundle and accessories reduce startup costs.
Casual users who create simple personal dashboards or small business reports infrequently can use this as an affordable entry point. The long battery life supports all-day campus or coffee shop use.
Professional analysts should avoid this entry-level hardware. The N150 processor struggles with anything beyond basic datasets, and the low-resolution display hampers productivity.
Users who need to work with high-resolution data visualizations or complex multi-page reports will find the screen size and resolution limiting. The small internal storage requires constant management or reliance on external drives.
Intel Celeron N4500 (2-core)
16GB DDR4 RAM
512GB PCIe SSD
15.6-inch FHD Anti-glare Display
The Lenovo IdeaPad sits at the entry point for Power BI-capable laptops. The Intel Celeron N4500 is a basic dual-core processor designed for light computing tasks. However, the 16GB RAM and 512GB SSD elevate this machine beyond typical budget laptop territory. This combination handles Power BI Desktop for learning and light professional use.
The lifetime Office 365 license provides exceptional long-term value. Power BI’s integration with Excel is crucial for many workflows, and having a permanent, fully-licensed Office suite eliminates subscription costs. For students or small business owners, this alone justifies the purchase.
During testing, I found the laptop adequate for Microsoft’s sample datasets and learning tutorials. Simple reports with imported Excel data worked fine. However, complex Power Query transformations or large data models caused noticeable slowdowns. This is a learning tool, not a performance workstation.
Absolute beginners who want the cheapest viable option for learning Power BI should consider this laptop. The Office 365 inclusion and sufficient RAM make it capable for educational purposes.
Small business owners who create simple monthly reports with modest data sizes can use this as an affordable solution. The numeric keypad aids data entry tasks.
Anyone with professional Power BI responsibilities should avoid the Celeron processor. The performance limitations will frustrate daily use with real business datasets.
The short battery life and lack of keyboard backlight make this poor for mobile use. Consider this a desktop-bound machine despite its laptop form factor.
Selecting the right laptop for Power BI requires understanding how the software uses hardware resources. Based on my testing and analysis of forum discussions from r/PowerBI and professional communities, here is what actually matters for Power BI performance.
RAM is the most critical component for Power BI performance. Power BI Desktop loads your entire data model into memory. When you run out of RAM, Windows starts swapping to disk, and performance collapses.
For learning Power BI with sample datasets under 100MB, 16GB RAM is sufficient. For professional work with datasets between 100MB and 500MB, 16GB is the minimum comfortable amount. For heavy enterprise work with datasets exceeding 1GB, 32GB RAM becomes essential.
My recommendation: Buy 16GB minimum, upgrade to 32GB if your budget allows. Future versions of Power BI and larger organizational datasets will only increase memory demands.
Power BI uses your CPU for Power Query transformations, DAX calculations, and rendering visualizations. Multi-core processors help with parallel operations, but single-core speed matters for responsive interactions.
For basic Power BI use, any modern Intel Core i5 or AMD Ryzen 5 from the last three generations suffices. For professional daily use, target Intel Core i7 or AMD Ryzen 7 with at least 6 cores. The Intel Core Ultra and AMD Ryzen AI processors offer excellent performance for heavy data work.
Avoid Intel Celeron and Pentium processors for professional use. While they technically run Power BI, the performance compromises will frustrate you.
Always choose SSD storage for Power BI work. NVMe SSDs provide the fastest data loading times, which matters when importing large datasets or saving complex models.
A 256GB SSD is the practical minimum, allowing room for Windows, Office, Power BI, and several data models. 512GB provides comfortable space for multiple projects. 1TB or larger is ideal for professionals who work with many large datasets or prefer local storage over cloud solutions.
Screen size and resolution significantly impact Power BI productivity. The interface includes multiple panes: visualizations, fields, filters, and formatting options. Small screens feel cramped.
Minimum recommended: 14-inch display at 1920×1080 resolution. Ideal: 15.6-inch or 16-inch at 1920×1080 or higher. The extra vertical pixels of 1920×1200 resolution provide noticeable benefits for the ribbon interface.
Touch screens are optional but useful for presentations and interactive report reviews. They are not essential for most Power BI development work.
After testing laptops across all price ranges, here is my practical guidance:
Under $400: Suitable for learning Power BI with small datasets. Expect compromises in build quality and performance with large models. The Dell Latitude 5420 renewed offers the best value in this tier.
$400-$800: The sweet spot for most professional Power BI users. Laptops like the Lenovo ThinkPad E16 and ASUS Vivobook 16 provide capable performance for typical business datasets without premium pricing.
$800-$1,500: Premium options for daily professional use. The ThinkPad E16 Gen 3 with 32GB RAM handles massive datasets. The Dell XPS 13 9345 offers unmatched portability and battery life for consultants.
Above $1,500: Generally unnecessary for Power BI specifically, unless you need specific features like 4K displays, maximum battery life, or future-proof AI capabilities.
For Power BI Desktop, Microsoft recommends 16GB RAM as the sweet spot for most users. For datasets under 500MB, 16GB handles workloads smoothly. For large enterprise datasets exceeding 1GB, 32GB RAM prevents memory errors and performance degradation. Power BI loads your entire data model into memory, so more RAM directly enables working with larger datasets.
Yes, Power BI remains one of the fastest-growing business intelligence tools in 2026. Microsoft continues investing heavily in AI integration with Copilot features, and demand for data analysts with Power BI skills continues growing across industries. The tool’s integration with Excel, Teams, and Azure ensures its relevance for years to come.
You can learn Power BI basics in 7 days with dedicated study. Microsoft offers free learning paths, and sample datasets allow hands-on practice. However, mastering DAX formulas, complex data modeling, and advanced visualization techniques takes months of practice. A 7-day foundation is sufficient for creating simple reports and understanding core concepts.
Yes, 16GB RAM is sufficient for most Power BI users working with datasets under 1GB in size. For professional analysts working with typical business data, 16GB provides smooth performance. Only power users working with massive enterprise datasets or complex DAX calculations regularly need 32GB RAM.
No, gaming laptops are not necessary for Power BI. While gaming laptops often have powerful processors and ample RAM, their dedicated GPUs provide no benefit for Power BI work since the software uses integrated graphics. A business laptop with a strong CPU and sufficient RAM performs equally well at a lower cost and typically offers better battery life and professional aesthetics.
Choosing the best laptop for Power BI depends on your specific needs and budget. For professional analysts handling massive datasets, the Lenovo ThinkPad E16 Gen 3 with 32GB RAM is the clear winner. The Dell XPS 13 9345 offers unmatched portability for consultants on the move. Budget-conscious users can get capable performance from the renewed Dell Latitude 5420 or Lenovo V15.
Remember the fundamentals: prioritize RAM first, then processor, then storage. A laptop with 16GB RAM and a modern processor will serve most Power BI users well in 2026 and beyond. Whether you are learning data visualization or building enterprise dashboards, the best laptops for Power BI listed here provide options for every use case and budget.
Take time to assess your actual needs. If you primarily work with Excel files under 100MB, you do not need flagship hardware. If you connect to SQL databases with millions of rows, invest in 32GB RAM. The right laptop removes hardware limitations and lets you focus on what matters: creating insights that drive business decisions.