Business Intelligence (BI) & Dashboard Tools

Updated July 15, 2026

These are the specialized categories within Business Intelligence (BI) & Dashboard Tools. Looking for something broader? See all Business Intelligence & Analytics Software categories.

Find Your Best Match

How big is your team?

Just me

2 - 10

11 - 50

51 - 200

201 - 1,000

1,000+

What's your budget situation?

Free or open-source only

Free to start, pay later

Best value for money

Price isn't the main factor

What's your team's technical comfort level?

We want it to just work

We can handle some setup

We have developers who'll customize it

What's the ONE thing this tool must do well?

Step 1 of 4

Market Tracker 360

Best for Business Intelligence & Dashboard Tools for Ecommerce Brands

Score

9.2 / 10

Market Tracker 360 is a powerful business intelligence tool for ecommerce brands, transforming Amazon marketplace data into actionable insights. Ideal for brands seeking strategic market dominance, it tracks up to 15 keywords and unlimited ASINs, offering a competitive edge with real-time alerts and historical data analysis.

Best for Business Intelligence & Dashboard Tools for Ecommerce Brands

View Website

Expert Take

Market Tracker 360 transforms complex Amazon marketplace dynamics into a highly visual, actionable dashboard. By leveraging Precision+ technology to analyze millions of listings daily, it offers a distinct competitive advantage. We love its ability to track up to 15 keywords and unlimited ASINs per market alongside two years of historical data, which empowers brands to predict trends rather than just react to them. It perfectly bridges the gap between raw data and strategic market dominance.

Pros

Tracks up to 15 keywords and unlimited ASINs per market
Instant access to 2 years of historical data
Real-time alerts for pricing and market shifts

Cons

Requires an existing Helium 10 Diamond plan
Tracking additional markets significantly increases price

Best for teams that are

Scaling Amazon private label sellers managing multiple ASINs to grow market share.
Brand owners wanting real-time competitor tracking and historical keyword data.

Skip if

Beginner sellers on starter plans, as it requires a premium Diamond subscription. [cite: 43, 44]
Users looking for a standalone tool, as it is an add-on within the Helium 10 suite. [cite: 43, 44]

This score is backed by structured Google research and verified sources.

Overall Score

9.2 / 10

The platform monitors millions of listings to deliver live updates on competitors. - "Market Tracker 360 keeps an eye on millions of listings and shows you pricing, sales volume and stock availability in real time." — jordiob.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

Exorbitant add-on pricing model requiring a $500/month fee for basic access (5 markets), which is only available if the user also pays for an expensive Helium 10 Diamond subscription.

Impact: A heavy deduction was applied for this issue.

Source: revenuegeeks.com

Best for teams that are

Scaling Amazon private label sellers managing multiple ASINs to grow market share.
Brand owners wanting real-time competitor tracking and historical keyword data.

Skip if

Beginner sellers on starter plans, as it requires a premium Diamond subscription. [cite: 43, 44]
Users looking for a standalone tool, as it is an add-on within the Helium 10 suite. [cite: 43, 44]

Pros

Tracks up to 15 keywords and unlimited ASINs per market
Instant access to 2 years of historical data
Includes a dedicated Customer Success Manager
Real-time alerts for pricing and market shifts

Cons

Extremely high starting cost of $500/month
Requires an existing Helium 10 Diamond plan
Tracking additional markets significantly increases price

Expert Take

Multifamily Business Intelligence

Best for Business Intelligence & Dashboard Tools for Property Managers

Score

9.0 / 10

This SaaS solution provides multifamily property owners, operators, and asset managers with strategic, tactical, and operational insights for informed decision-making. It offers industry-specific features that help in identifying trends, forecasting performance, and optimizing operations.

Best for Business Intelligence & Dashboard Tools for Property Managers

View Website

Expert Take

Multifamily Business Intelligence excels in providing industry-specific insights for property managers, offering robust data analytics capabilities tailored to the multifamily sector. Its strategic and operational insights are well-documented, making it a leading choice for property management professionals seeking data-driven decision-making tools.

Pros

Single source of truth across multiple PMSs
Antitrust-compliant 'safe' pricing model
Deep integration with Yardi, RealPage, Entrata
Reduces budget season time by 50%

Cons

Requires 60-90 day implementation timeline
Higher cost than basic reporting tools
Dependent on source system data cleanliness
PowerBI backend may require specialized skills

Best for teams that are

Multifamily operators and asset managers (10,000+ units).
Users of Yardi or Entrata seeking centralized BI.

Skip if

Single-family rental operators or small DIY landlords.
Those seeking a primary property management system.

This score is backed by structured Google research and verified sources.

Overall Score

9.0 / 10

The BI platform supports Row Level Security (RLS) that inherits permissions directly from Yardi Voyager. Enhanced support for Row Level Security that inherits the Yardi Voyager property-level security and restricts users to only the properties assigned to them — getreba.com
REBA Rent is designed to treat portfolios individually and excludes non-public competitor data to ensure antitrust compliance. REBA was designed from the ground-up to treat portfolios (even single properties) individually rather than intermingling data from multiple companies. — getreba.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

The product carries a higher cost premium ('$$') compared to basic off-the-shelf reporting tools ('$'), making it less accessible for smaller operators.

Impact: A moderate deduction was applied for this.

Source: getreba.com
Implementation is not immediate; the platform requires a 60-90 day setup period, which is longer than some 'plug-and-play' SaaS alternatives.

Impact: This pulled the score down considerably.

Source: getreba.com

Best for teams that are

Multifamily operators and asset managers (10,000+ units).
Users of Yardi or Entrata seeking centralized BI.

Skip if

Single-family rental operators or small DIY landlords.
Those seeking a primary property management system.

Pros

Single source of truth across multiple PMSs
Antitrust-compliant 'safe' pricing model
Granular unit and transaction-level data access
Deep integration with Yardi, RealPage, Entrata
Reduces budget season time by 50%

Cons

Requires 60-90 day implementation timeline
Higher cost than basic reporting tools
Dependent on source system data cleanliness
Separate system from PMS requires maintenance
PowerBI backend may require specialized skills

Expert Take

Power BI Retail Data Analytics

Best for Business Intelligence & Dashboard Tools for Retail Stores

Score

8.9 / 10

Power BI Retail Data Analytics is a business intelligence tool designed to help retailers identify trends and patterns quickly and affordably. With its easy-to-use data visualization, it addresses the retail industry's needs for real-time insights to optimize sales, inventory management, and customer experience.

Best for Business Intelligence & Dashboard Tools for Retail Stores

View Website

Expert Take

Power BI Retail Data Analytics stands out in the retail business intelligence space due to its integration with Microsoft's ecosystem and its ability to provide real-time insights tailored for retail needs. Its customizable dashboards and data visualization capabilities make it a strong choice for retailers seeking to optimize operations and customer experience.

Pros

Aggregates data from Amazon, Shopify, and POS
Client won 'CFO of the Year' award
Microsoft Certified Consultants ensure quality
Scalable Azure SQL data architecture

Cons

Custom work billed hourly ($100/hr)
Requires separate Power BI licenses
Implementation time varies by project scope
Dependent on Microsoft ecosystem

Best for teams that are

Retailers needing expert Power BI consulting and implementation
Businesses using QuickBooks Online needing better reporting

Skip if

DIY users wanting to build dashboards themselves from scratch
Large enterprises with established internal BI teams

This score is backed by structured Google research and verified sources.

Overall Score

8.9 / 10

Free Power BI templates are available to help users visualize data quickly. Our free Power BI templates enable you to quickly visualise the data from our Power BI connectors! — vidi-corp.com
The company offers both beginner and advanced Power BI training. Beginner Power BI Training... Advanced Power BI Training. — vidi-corp.com
Outlined in Microsoft's compliance documentation, Power BI adheres to industry-standard security protocols. — microsoft.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

Custom templates and solutions are billed at an hourly rate ($100/hr), creating potential budget uncertainty compared to fixed-fee subscription software.

Impact: This pulled the score down considerably.

Source: vidi-corp.com
Custom Power BI solutions have variable implementation timelines compared to instant-access SaaS products, with the provider noting they 'might take much longer depending on scope'.

Impact: A moderate deduction was applied for this.

Source: vidi-corp.com
Users must pay for separate Microsoft Power BI licenses (Pro or Premium) in addition to Vidi Corp's fees, which is a hidden cost for those new to the ecosystem.

Impact: A moderate deduction was applied for this.

Source: mammoth.io

Best for teams that are

Retailers needing expert Power BI consulting and implementation
Businesses using QuickBooks Online needing better reporting

Skip if

DIY users wanting to build dashboards themselves from scratch
Large enterprises with established internal BI teams

Pros

Aggregates data from Amazon, Shopify, and POS
Client won 'CFO of the Year' award
Fixed-price connector options available
Microsoft Certified Consultants ensure quality
Scalable Azure SQL data architecture

Cons

Custom work billed hourly ($100/hr)
Requires separate Power BI licenses
Implementation time varies by project scope
Not a standalone plug-and-play app
Dependent on Microsoft ecosystem

Expert Take

Power BI - Data Visualization

Best for Business Intelligence & Dashboard Tools for Marketing Agencies

Score

8.9 / 10

Power BI is a powerful business intelligence tool that allows marketing agencies to visualize and analyze their data in a user-friendly manner. Its capabilities of integrating with various data sources and creating interactive dashboards make it ideal for this industry, where data-driven decision making is crucial.

Best for Business Intelligence & Dashboard Tools for Marketing Agencies

View Website

Expert Take

Power BI stands out as a leading tool in the business intelligence space, particularly for marketing agencies. Its integration capabilities and interactive dashboards are well-documented, making it a favorite for data-driven decision-making. While it may have a learning curve, its comprehensive features justify its premium positioning.

Pros

Seamless integration with Microsoft 365 & Excel
Leader in Gartner Magic Quadrant for 18 years
Advanced AI Copilot & Fabric integration
Massive user community and learning resources

Cons

40% price increase for Pro licenses (April 2025)
Steep learning curve for DAX formulas
Performance issues with unoptimized large datasets
Premium features require expensive capacity upgrades

Best for teams that are

Business analysts requiring advanced data modeling features.
IT departments handling complex, large-scale data sources.

Skip if

Freelance marketers needing simple, instant client reports.
Users seeking out-of-the-box marketing agency templates.

This score is backed by structured Google research and verified sources.

Overall Score

8.9 / 10

Features include BYOK (Bring Your Own Key) and sensitivity labels for data protection. Power BI includes key compliance features such as GDPR adherence through Azure Key Vault for encryption key management, the 'bring your own key' (BYOK) strategy... — gdprlocal.com
Power BI supports over 100 compliance standards including FedRAMP and HIPAA. Help maintain compliance with more than 100 standards and certifications including IL6, FedRamp, HIPAA, and FINRA. — microsoft.com
Power BI's compliance with GDPR and other regulations is detailed in Microsoft's compliance documentation. — microsoft.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

The mandatory retirement of Power BI Premium P-SKUs forces existing customers to migrate to the new Microsoft Fabric capacity model, creating transition complexity.

Impact: The final score dropped sharply on this point.

Source: walterassociates.co.uk
Large datasets and complex DAX calculations can lead to significant performance degradation, often requiring optimization or expensive capacity upgrades.

Impact: The final score dropped sharply on this point.

Source: thebridgedigital.com.au
Microsoft implemented a 40% price increase for Power BI Pro licenses (from $10 to $14) and a 20% increase for Premium Per User licenses effective April 1, 2025.

Impact: The score fell steeply because of this problem.

Source: powerbi.microsoft.com

Best for teams that are

Business analysts requiring advanced data modeling features.
IT departments handling complex, large-scale data sources.

Skip if

Freelance marketers needing simple, instant client reports.
Users seeking out-of-the-box marketing agency templates.

Pros

Seamless integration with Microsoft 365 & Excel
Leader in Gartner Magic Quadrant for 18 years
Enterprise-grade security (FedRAMP, HIPAA, BYOK)
Advanced AI Copilot & Fabric integration
Massive user community and learning resources

Cons

40% price increase for Pro licenses (April 2025)
Steep learning curve for DAX formulas
Performance issues with unoptimized large datasets
Complex licensing transition to Fabric capacity
Premium features require expensive capacity upgrades

Expert Take

AgencyAnalytics

Best for Business Intelligence & Dashboard Tools for Marketing Agencies

Score

8.9 / 10

AgencyAnalytics is a dashboard and reporting tool designed specifically for marketing agencies. It provides automation for client reporting, enabling agencies to scale effectively. Key features include SEO, PPC, social media reporting, as well as bespoke dashboards, addressing the unique needs of marketing professionals.

Best for Business Intelligence & Dashboard Tools for Marketing Agencies

View Website

Expert Take

AgencyAnalytics excels as a specialized tool for marketing agencies, offering robust automated reporting and customizable dashboards. Its wide range of integrations and marketing-specific features make it a top choice in its category, despite a potential learning curve for new users.

Pros

Automated reporting saves billable hours
80+ native integrations with major platforms
Built-in SEO tools (Rank Tracker, Audit)
Exceptional customer support response times

Cons

API access locked behind expensive plan
Cannot edit ad campaigns directly
Per-client pricing scales costs quickly
Entry plan requires 5-client minimum

Best for teams that are

Small-to-midsize marketing agencies with 5-30 clients.
Teams needing fast, automated white-label client reports.

Skip if

Marketing teams needing end-to-end custom data pipelines.
Enterprise agencies requiring deep cross-channel analysis.

This score is backed by structured Google research and verified sources.

Overall Score

8.9 / 10

Agencies can offer a white-labeled mobile app to their clients. Give your clients access to the AgencyAnalytics mobile app featuring your branding. — agencyanalytics.com
Features include custom logos, brand colors, and hosting dashboards on a custom domain. Host client dashboards on a custom domain and your own branded web app to increase professionalism. — agencyanalytics.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

The pricing model is based on client count, which can become significantly more expensive than flat-rate competitors as an agency scales.

Impact: This weakness cost the product meaningful points.

Source: reportingninja.com
The platform does not allow users to edit ad campaigns directly; it is strictly for reporting and monitoring, unlike some all-in-one management tools.

Impact: The rating came down a step because of this.

Source: adriel.com
API access is locked behind the most expensive 'Agency Pro' plan ($479/mo), forcing smaller agencies to upgrade significantly for automation needs.

Impact: This weakness cost the product meaningful points.

Source: reportingninja.com

Best for teams that are

Small-to-midsize marketing agencies with 5-30 clients.
Teams needing fast, automated white-label client reports.

Skip if

Marketing teams needing end-to-end custom data pipelines.
Enterprise agencies requiring deep cross-channel analysis.

Pros

Automated reporting saves billable hours
80+ native integrations with major platforms
Full white-labeling including mobile app
Built-in SEO tools (Rank Tracker, Audit)
Exceptional customer support response times

Cons

API access locked behind expensive plan
Cannot edit ad campaigns directly
Per-client pricing scales costs quickly
SEO tools less robust than dedicated suites
Entry plan requires 5-client minimum

Expert Take

Explore: Insurance BI Software

Best for Business Intelligence & Dashboard Tools for Insurance Agents

Score

8.9 / 10

Explore is a powerful SaaS solution tailored for insurance agents. It leverages data to provide deep insights for underwriting, claims, sales, and service management decisions. The software's industry-specific features help identify trends, predict outcomes, and drive profitable growth.

Best for Business Intelligence & Dashboard Tools for Insurance Agents

View Website

Expert Take

Explore is a specialized business intelligence tool designed for insurance agents, offering deep insights into underwriting, claims, and sales management. Its industry-specific features and data-driven approach make it a valuable asset for insurance professionals. While it excels in functionality, the need for technical expertise and lack of transparent pricing are notable considerations.

Pros

Business Impact Monitoring for predictive models
Pre-built Financial Insights for Policy/Claims
Drastically reduces data preparation time
Embedded analytics in ClaimCenter workflows

Cons

Requires Guidewire Cloud Platform
Complex implementation requiring consultants
Opaque enterprise pricing model
Not a standalone BI solution

Best for teams that are

P&C insurers running Guidewire InsuranceSuite (Policy, Claim, Billing)
Carriers requiring comprehensive financial and operational intelligence

Skip if

Small independent agencies or brokerages
Insurers not using Guidewire's core policy and claims systems

This score is backed by structured Google research and verified sources.

Overall Score

8.9 / 10

Data masking is a critical capability supported for non-production environments. Most insurance organizations use one of three approaches to mask Guidewire data... Modern enterprise data masking platforms like Perforce Delphix provide automated solutions. — perforce.com
Explore supports granular role-based access control (RBAC) for managing user privileges. Admins can now manage what users are allowed to do in Explore... edit those groups, create new groups, and assign roles. — docs.guidewire.com
Guidewire Cloud Platform includes SOC 2, ISO 27001, and GDPR compliance. Yes, it includes enterprise-grade security, compliance with SOC 2, ISO 27001, and GDPR for safe data handling. — guidewiremasters.in
Outlined in published security documentation, Explore adheres to industry-standard data protection practices. — guidewire.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

Implementation is described as complex and costly, often requiring specialized external consultants.

Impact: This pulled the score down considerably.

Source: g2.com
Custom extension fields from core systems are not automatically available in Explore; they require manual configuration in Data Studio first.

Impact: This pulled the score down considerably.

Source: docs.guidewire.com
Explore is heavily dependent on the Guidewire Cloud Platform and InsuranceSuite; it is not a standalone BI tool for non-Guidewire customers.

Impact: This pulled the score down considerably.

Source: lifeinsuranceinternational.com

Best for teams that are

P&C insurers running Guidewire InsuranceSuite (Policy, Claim, Billing)
Carriers requiring comprehensive financial and operational intelligence

Skip if

Small independent agencies or brokerages
Insurers not using Guidewire's core policy and claims systems

Pros

Business Impact Monitoring for predictive models
AI-powered 'Spotter' natural language search
Pre-built Financial Insights for Policy/Claims
Drastically reduces data preparation time
Embedded analytics in ClaimCenter workflows

Cons

Requires Guidewire Cloud Platform
Complex implementation requiring consultants
Custom fields need Data Studio config
Opaque enterprise pricing model
Not a standalone BI solution

Expert Take

MarketXLS

Best for Business Intelligence & Dashboard Tools for Ecommerce Brands

Score

8.9 / 10

Designed for data-driven investors, MarketXLS integrates seamlessly with Excel, providing live market data and advanced metrics. It transforms spreadsheets into a powerful financial terminal, offering substantial cost savings over traditional systems.

Best for Business Intelligence & Dashboard Tools for Ecommerce Brands

View Website

Expert Take

MarketXLS seamlessly transforms standard spreadsheets into an institutional-grade financial terminal without the exorbitant costs of legacy systems like YCharts or Bloomberg. By bringing live market data, advanced options Greeks, and comprehensive historical metrics directly into Excel cells via intuitive functions, it empowers data-driven investors to build dynamic, automated models. The massive library of unlocked templates further accelerates analysis, making it an indi

Pros

Native Excel integration with over 1,000 functions
Institutional-grade options data with real-time Greeks
Covers stocks, ETFs, mutual funds, and crypto
Massive cost savings compared to legacy terminals

Cons

Requires existing proficiency in Microsoft Excel
Strict refund policy applies only to annual plans
Live quote streaming can disrupt manual cell copying

Best for teams that are

DIY investors and finance pros wanting real-time stock analytics native to Excel.
Small business owners building financial models without learning new software.

Skip if

Traders needing comprehensive mobile tracking, as mobile features are limited. [cite: 7]
Those seeking a fully automated, standalone web-based BI platform. [cite: 8]

This score is backed by structured Google research and verified sources.

Overall Score

The platform includes an AI assistant to help users navigate functions and Excel queries. - "Use MarketXLS XLSolve AI to save time and get instant answers to your MarketXLS and Excel questions." — g2.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

The software's reliance on Excel makes it clunky and potentially unsuitable for hyper-active intraday day traders who require dedicated, standalone high-speed trading interfaces.

Impact: The rating came down a step because of this.

Source: daytradereview.com
Rapidly updating real-time streaming quotes can lock or disrupt manual cell copying and pasting within Excel, requiring users to manually toggle calculation settings.

Impact: The rating came down a step because of this.

Source: g2.com
The 30-day money-back guarantee is restricted exclusively to annual plans, and refunds are subjected to a $50 setup fee deduction plus pro-rated daily charges.

Impact: This weakness cost the product meaningful points.

Source: marketxls.com

Best for teams that are

DIY investors and finance pros wanting real-time stock analytics native to Excel.
Small business owners building financial models without learning new software.

Skip if

Traders needing comprehensive mobile tracking, as mobile features are limited. [cite: 7]
Those seeking a fully automated, standalone web-based BI platform. [cite: 8]

Pros

Native Excel integration with over 1,000 functions
Institutional-grade options data with real-time Greeks
Hundreds of unlocked, customizable pre-built templates
Covers stocks, ETFs, mutual funds, and crypto
Massive cost savings compared to legacy terminals

Cons

Requires existing proficiency in Microsoft Excel
Strict refund policy applies only to annual plans
Live quote streaming can disrupt manual cell copying
Less suitable for high-speed intraday day traders

Expert Take

Omni Analytics

Best for Business Intelligence & Dashboard Tools for Ecommerce Brands

Score

8.9 / 10

Omni Analytics is a powerful business intelligence tool specifically designed for e-commerce brands. It offers an intuitive platform that allows users to easily analyze data through spreadsheets, SQL, and AI capabilities, enabling fast, precise decisions for increased business growth.

Best for Business Intelligence & Dashboard Tools for Ecommerce Brands

View Website

Expert Take

Omni Analytics excels as a business intelligence tool for e-commerce brands due to its AI-driven data analysis capabilities and e-commerce centric features. While it offers comprehensive data handling and insights, its lack of transparent pricing and limited integration options are notable tradeoffs.

Pros

Bi-directional dbt integration
Unified SQL and spreadsheet UI
Exceptional customer support
Fast iteration speed

Cons

Visualization options less mature
Occasional bugs and rough edges
Opaque pricing structure
Limited predictive analytics features

Best for teams that are

B2B teams needing governed metrics and semantic-layer-aware AI.
Companies wanting self-serve SQL analysis and live cloud warehouse connectivity.

Skip if

Organizations wanting traditional dashboards without a semantic layer. [cite: 1, 3]
Users who prefer code-first, ad-hoc SQL notebook workflows like Mode. [cite: 3]

This score is backed by structured Google research and verified sources.

Overall Score

The platform supports granular permissions including row-level security and user attribute-based access. Control access to data on the view (table) and field (column) level. Row-based filtering based on user permissions. — omni.co
Data is encrypted at rest and in transit using AES-256 and TLS protocols. All customer data stored on Omni is encrypted using the industry-standard AES-256 encryption protocol. — omni.co
Omni is SOC 2 Type II compliant and meets HIPAA, GDPR, and CCPA standards. This includes annual SOC 2 Type II audits and meeting the standards of the General Data Protection Regulation (GDPR), California Privacy Rights Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA). — omni.co
Security measures and compliance standards are outlined in the published security documentation, ensuring data protection. — omni.co

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

Pricing is not publicly transparent, and some users find the per-user cost structure expensive for large deployments of casual users.

Impact: This pulled the score down considerably.

Source: g2.com
Reviews frequently mention 'rough edges', 'jank', and occasional bugs attributed to the product's rapid development and relative newness.

Impact: A moderate deduction was applied for this.

Source: g2.com
Users report that the platform lacks some visualization types and advanced formatting options found in more mature competitors.

Impact: This pulled the score down considerably.

Source: aws.amazon.com

Best for teams that are

B2B teams needing governed metrics and semantic-layer-aware AI.
Companies wanting self-serve SQL analysis and live cloud warehouse connectivity.

Skip if

Organizations wanting traditional dashboards without a semantic layer. [cite: 1, 3]
Users who prefer code-first, ad-hoc SQL notebook workflows like Mode. [cite: 3]

Pros

Bi-directional dbt integration
Unified SQL and spreadsheet UI
Just-in-time data modeling
Exceptional customer support
Fast iteration speed

Cons

Visualization options less mature
Occasional bugs and rough edges
Opaque pricing structure
Steep learning curve for modeling
Limited predictive analytics features

Expert Take

Semrush Agency Growth Kit

Best for Business Intelligence & Dashboard Tools for Marketing Agencies

Score

8.9 / 10

The Semrush Agency Growth Kit transforms digital marketing agencies into enterprise-level entities by offering white-label reporting, a secure client portal, and automated lead generation. It's perfect for agencies seeking to streamline operations and enhance their brand experience using Semrush's top-tier data.

Best for Business Intelligence & Dashboard Tools for Marketing Agencies

View Website

Expert Take

The Semrush Agency Growth Kit elevates a standard SEO toolkit into a comprehensive agency management ecosystem. By combining robust white-label reporting, a secure client portal, and automated lead generation into one platform, it drastically reduces context-switching. It enables growing digital marketing agencies to present an enterprise-level brand experience while leveraging Semrush's industry-leading data.

Pros

Fully white-labeled client portals
Integrated CRM and lead finder
Access to Agency Partners directory

Cons

Requires expensive base subscription
Steep learning curve for beginners
Variable inbound lead quality

Best for teams that are

Large agencies needing depth, scale, and branded reports.
Agencies focusing heavily on comprehensive search marketing.

Skip if

Specialized teams needing only basic backlink checking.
Small, budget-conscious agencies needing simple reporting.

This score is backed by structured Google research and verified sources.

Overall Score

8.9 / 10

Lead quality from the directory can be hit or miss. - "I tested it out a little while back for lead generation for our own agency. The lead quality wasn't really there." — reddit.com
Lead Finder scores prospects based on multiple website metrics. - "The tool scores potential leads based on their online presence, traffic metrics, and growth potential." — sem.discount

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

Mixed feedback on the actual quality and conversion rate of inbound leads generated through the Semrush Agency directory.

Impact: This issue had a noticeable impact on the score.

Source: reddit.com
The platform suffers from a cluttered interface and a steep learning curve that frustrates new agency users.

Impact: This issue had a noticeable impact on the score.

Source: themarketingagency.ca
High total cost of ownership due to the required base subscription plus expensive add-on tiers, making it cost-prohibitive for smaller businesses.

Impact: This issue caused a significant reduction in the score.

Source: themarketingagency.ca

Best for teams that are

Large agencies needing depth, scale, and branded reports.
Agencies focusing heavily on comprehensive search marketing.

Skip if

Specialized teams needing only basic backlink checking.
Small, budget-conscious agencies needing simple reporting.

Pros

Fully white-labeled client portals
Automated branded reporting delivery
Integrated CRM and lead finder
Access to Agency Partners directory

Cons

Requires expensive base subscription
Steep learning curve for beginners
Cluttered user interface
Variable inbound lead quality

Expert Take

Spider Impact BI Tools

Best for Business Intelligence & Dashboard Tools for Contractors

Score

8.9 / 10

Spider Impact's BI Tools are specifically designed to cater to the needs of contractors. These tools allow for data visualization through intuitive dashboards, and the tracking of performance with automated KPIs, enabling contractors to monitor project progress, cost, and time management efficiently.

Best for Business Intelligence & Dashboard Tools for Contractors

View Website

Expert Take

Spider Impact BI Tools excel in providing tailored business intelligence solutions for contractors, offering intuitive dashboards and automated KPI tracking. While enterprise-level pricing and technical proficiency requirements may pose challenges, the product's capabilities and market credibility make it a top choice in its category.

Pros

Native Balanced Scorecard support
AI-powered 'Impact Assistant'
Meeting Mode for briefings
Links KPIs to initiatives

Cons

Limited visualization customization
Steeper learning curve initially
Niche focus (not general BI)

Best for teams that are

Government, non-profit, and enterprise sectors needing accountability
Executives tracking long-term strategic initiatives over operational metrics

Skip if

Contractors looking for specific project management or field dashboards
Teams wanting plug-and-play construction ERP integrations

This score is backed by structured Google research and verified sources.

Overall Score

8.9 / 10

It allows linking KPIs to initiatives to track impact. Spider Impact by Spider Strategies allows you to link your KPIs with the initiatives responsible for driving it. — crystalguru.sa
The software is methodology-agnostic, supporting Balanced Scorecard, KPIs, and Earned Value Management. Built to be methodology-agnostic, Spider Impact works with ANY performance management methodology, including Metrics & KPIs, Balanced Scorecard, Earned Value Management — spiderstrategies.com

Score Adjustments & Considerations

Certain documented issues resulted in score reductions. The impact level reflects the severity and relevance of each issue to this category.

Customization options for reports and dashboards are described as 'limited' by some users compared to more flexible, general-purpose BI tools.

Impact: This weakness cost the product meaningful points.

Source: getapp.com
Users report that the interface can feel 'dated' and 'not intuitive' initially, often requiring reliance on video tutorials to learn basic functions.

Impact: The rating came down a step because of this.

Source: getapp.com

Best for teams that are

Government, non-profit, and enterprise sectors needing accountability
Executives tracking long-term strategic initiatives over operational metrics

Skip if

Contractors looking for specific project management or field dashboards
Teams wanting plug-and-play construction ERP integrations

Pros

FedRAMP Authorized security
Native Balanced Scorecard support
AI-powered 'Impact Assistant'
Meeting Mode for briefings
Links KPIs to initiatives

Cons

Limited visualization customization
UI described as dated
Steeper learning curve initially
Niche focus (not general BI)

Expert Take

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Business Intelligence & Dashboard Tools for Contractors

Business Intelligence & Dashboard Tools for Ecommerce Brands

Business Intelligence & Dashboard Tools for Insurance Agents

Business Intelligence & Dashboard Tools for Marketing Agencies

Business Intelligence & Dashboard Tools for Property Managers

Business Intelligence & Dashboard Tools for Retail Stores

About Business Intelligence (BI) & Dashboard Tools

Business Intelligence (BI) & Dashboard Tools: The Definitive Expert Guide

Business Intelligence (BI) & Dashboard Tools facilitate the translation of raw data into actionable strategic insights through visualization, analysis, and reporting technologies. This category covers software used to manage the full lifecycle of data consumption: connecting to disparate data sources, modeling data relationships, creating visual representations (dashboards), and distributing insights to decision-makers. It sits above the data infrastructure layer (data warehouses and ETL pipelines) and below the decision automation layer (AI agents and robotic process automation). It includes both general-purpose enterprise analytics platforms and vertical-specific reporting tools built for industries like retail, healthcare, and finance. The core function is to reduce the latency between a business event occurring and a stakeholder understanding its impact.

What Is Business Intelligence (BI) & Dashboard Tools?

At its core, Business Intelligence software solves the "data rich, information poor" paradox. Organizations generate terabytes of operational exhaust—transaction logs, customer interactions, sensor readings—yet often lack the ability to synthesize this noise into a coherent signal. BI tools bridge this gap by providing a semantic layer that translates technical database schemas into business-friendly metrics.

These tools are primarily used by two distinct groups: data analysts who build the infrastructure and data models, and business users (executives, managers, and frontline staff) who consume the output to make decisions. The value proposition has shifted from simply "reporting on what happened" to "diagnosing why it happened" and, increasingly, "predicting what will happen next." In a mature deployment, BI eliminates reliance on gut feeling, replacing it with evidence-based management that can track profitability, efficiency, and risk in near real-time.

History of the Category

The trajectory of Business Intelligence since the 1990s is a story of the tension between IT control and business agility. In the "BI 1.0" era of the 1990s, the landscape was dominated by heavy, IT-centric platforms. These systems relied on complex semantic layers and OLAP (Online Analytical Processing) cubes. While they offered a "single source of truth," they were notoriously rigid. A marketing manager needing a new column in a report might wait weeks for IT to restructure the data model. This era established the foundational concepts of data warehousing but failed to deliver speed.

The 2000s and early 2010s saw a reactionary wave—often termed "BI 2.0" or the era of Data Discovery. This period was defined by the rise of desktop-based visual analytics tools that decoupled analysis from the central data warehouse. Business users could finally ingest spreadsheets and create visualizations without IT intervention. While this democratized data access, it introduced a new problem: "spreadmarts" and data chaos, where different departments arrived at meetings with conflicting numbers for the same metric.

From 2015 to the present, the market has consolidated around the cloud and "Modern BI." This current wave attempts to reconcile the governance of the 1990s with the agility of the 2000s. Key consolidation events saw major cloud infrastructure providers acquiring independent visualization leaders to integrate analytics directly into the application stack. Today, buyer expectations have evolved beyond static dashboards. The focus is now on "augmented analytics"—using machine learning to automatically surface anomalies—and "composable analytics," where BI capabilities are embedded directly into operational workflows rather than existing as a separate destination.

What to Look For

Evaluating BI platforms requires looking beyond the aesthetics of the charts. A beautiful dashboard based on broken logic is a liability, not an asset. When assessing vendors, prioritize the underlying data engine over the visualization layer.

The Semantic Layer and Governance: The most critical component is the tool's ability to define metrics centrally. Look for platforms that offer a reusable semantic layer. This ensures that "Gross Margin" is calculated identically whether it is accessed via a dashboard, an API, or an ad-hoc query. If the tool requires users to redefine the calculation in every single report, you are building technical debt that will eventually cripple your reporting reliability.

Query Performance and Direct Query Capabilities: Assess how the tool handles large datasets. Does it require you to import data into its proprietary in-memory engine (which creates data latency and size limits), or can it query your data warehouse directly (DirectQuery)? As data volumes grow, the ability to push the compute down to the cloud data warehouse becomes essential to avoid performance bottlenecks.

Red Flags: Be wary of vendors who emphasize "AI-generated insights" but cannot demonstrate robust data modeling capabilities. AI applied to poorly modeled data merely hallucinates confidence. Another warning sign is a pricing model that penalizes adoption; avoid contracts where view-only licenses are priced similarly to creator licenses, as this disincentivizes rolling out data to the wider organization.

Industry-Specific Use Cases

Retail & E-commerce

In retail, the speed of insight must match the speed of transaction. General-purpose tools often struggle with the specific nuances of inventory attribution and omnichannel analysis. Retail BI dashboards must track Contribution Margin by SKU—factoring in returns, shipping, and ad spend—rather than just Gross Revenue. Advanced use cases involve "Basket Analysis" to understand product affinities (e.g., customers who buy item X are 40% more likely to buy item Y). Retailers also prioritize Customer Lifetime Value (CLV) modeling to segment high-value cohorts from one-time discount seekers. The critical evaluation priority here is the ability to ingest data from disparate sources (Shopify, Amazon, 3PLs, Meta Ads) and normalize it into a unified P&L view [1].

Healthcare

Healthcare BI is high-stakes, focusing on patient outcomes and operational efficiency. Hospitals utilize dashboards to monitor readmission rates, a key metric that impacts reimbursement and penalties. A critical use case is analyzing patient flow to optimize staffing ratios in Emergency Departments, predicting surges based on historical patterns to prevent bottlenecks. Unlike other industries, healthcare BI requires stringent compliance features (HIPAA) and the ability to handle unstructured data, such as physician notes or imaging meta-data. Dashboard reliability is paramount here; a metric latency of even a few hours can render operational dashboards useless for floor managers [2].

Financial Services

For banks and insurers, BI is a tool for risk mitigation and fraud detection. Financial institutions use real-time dashboards to monitor transaction volumes and flag anomalies that suggest fraudulent activity or cyber threats. Risk exposure reporting is another pillar, aggregating data across portfolios to ensure compliance with liquidity regulations (like Basel III). The evaluation priority for financial services is "lineage" and "auditability"—the ability to trace a number on a dashboard back to the specific transaction row that generated it, ensuring data integrity for regulatory audits [3].

Manufacturing

Manufacturing BI focuses on the shop floor, translating sensor data into efficiency metrics. The gold standard metric is Overall Equipment Effectiveness (OEE), which combines availability, performance, and quality into a single score. Dashboards track "scrap rates" and "cycle times" to identify production bottlenecks. A unique requirement for manufacturing is the integration of IT (Information Technology) data with OT (Operational Technology) data—blending ERP financial data with SCADA machine data to calculate the true cost of production downtime. Predictive maintenance dashboards, which alert operators before a machine fails, are a key driver for adoption in this sector [4].

Professional Services

Agencies and consultancies use BI to manage human capital and project profitability. The lifeblood metrics are Billable Utilization (percentage of time spent on revenue-generating work) and Project Margin. Unlike manufacturing, inventory here is time. BI tools must integrate with time-tracking and billing systems to visualize "WIP" (Work in Progress) revenue—revenue that has been earned but not yet billed. This visibility prevents revenue leakage and helps firms forecast hiring needs based on the sales pipeline. A common red flag in this sector is relying on lagging indicators (invoiced revenue) rather than leading indicators (resource scheduling) [5].

Subcategory Overview

Business Intelligence & Dashboard Tools for Marketing Agencies

Marketing agencies face a unique challenge: they must report data to external clients who demand transparency but lack technical context. Specialized tools in this niche differ from generic BI by offering "White Label" capabilities, allowing the agency to brand the portal fully as their own. They handle the "Client Reporting" workflow, automating the ingestion of data from 50+ ad platforms (Meta, LinkedIn, Google Ads) into a unified presentation layer. A generic BI tool often requires custom connectors for each ad network, whereas these niche tools come with pre-built, maintained connectors. The pain point driving buyers here is the "monthly reporting hell"—the manual hours spent taking screenshots from ad platforms to paste into PowerPoint. For a deeper analysis of these solutions, read our guide to Business Intelligence & Dashboard Tools for Marketing Agencies.

Business Intelligence & Dashboard Tools for Insurance Agents

Insurance distribution is characterized by complex commission structures and renewal cycles. Tools in this subcategory focus on "Commission Tracking" and "Book of Business" analytics. Unlike generic BI, these tools understand the hierarchy of carriers, agencies, and producers, handling split-commission calculations out of the box. A workflow only these tools handle well is the "Commission Reconciliation" process—matching expected carrier payouts against actual deposits to identify leakage. Buyers move to this niche because generic tools struggle to model the many-to-many relationships between policies, carriers, and downstream agents without massive customization. Learn more about optimizing agency performance in our guide to Business Intelligence & Dashboard Tools for Insurance Agents.

Business Intelligence & Dashboard Tools for Property Managers

Property management relies on "Unit-Level Profitability." Generic financial tools often stop at the property level, but specialized BI in this space drills down to the square foot. These tools integrate with property management systems (PMS) to visualize occupancy rates, lease expirations, and maintenance ticket trends. A specific workflow they excel at is "Rent Roll Analysis," flagging under-market leases and forecasting vacancy losses based on lease expiration schedules. The driver for this niche is the need to aggregate data across disparate PMS instances when managing mixed portfolios (e.g., commercial and residential assets). Explore these specialized capabilities in our guide to Business Intelligence & Dashboard Tools for Property Managers.

Business Intelligence & Dashboard Tools for Contractors

Construction and contracting businesses operate on "Job Costing" and "WIP Reporting." The critical differentiator for this niche is the ability to track "Estimated vs. Actual" costs in real-time as a project progresses. Generic BI tools often lack the specific logic to handle "Over/Under Billing" calculations required for construction accounting (percentage of completion method). These tools visualize the "Fade" (profit erosion) on jobs, alerting project managers before a job goes into the red. Contractors choose this niche to avoid the lag time of waiting for monthly accounting close to know if a project is profitable. For details on construction-specific analytics, see our guide to Business Intelligence & Dashboard Tools for Contractors.

Business Intelligence & Dashboard Tools for Ecommerce Brands

Ecommerce BI focuses on "Unit Economics" and "Attribution." While Google Analytics provides traffic data, it fails to account for COGS, returns, and shipping, often overstating profitability. Specialized tools here calculate the "Contribution Margin" per order and per SKU. They handle the "Attribution Modeling" workflow, triangulating data from post-purchase surveys and ad platforms to determine where to allocate spend. The specific pain point is the "Blended ROAS" (Return on Ad Spend) calculation—brands need a single source of truth that combines Shopify sales data with ad spend from TikTok, Snap, and Meta. Discover how to track true profitability in our guide to Business Intelligence & Dashboard Tools for Ecommerce Brands.

Deep Dive: Integration & API Ecosystem

The number one failure point for BI implementations is not the visualization capabilities, but the integration fragility. According to Forrester, up to 65% of integration project failures stem from incompatible data formats and integration complexity [6]. A robust BI tool must do more than "connect" to data; it must be able to handle schema changes resiliently.

Expert Insight: Gartner analysts emphasize that "integration complexity is a barrier in 60% of implementations," urging buyers to prioritize pre-built connectors over generic API access [7]. The nuance lies in how the tool handles "API limits" and "incremental refreshes."

Scenario: Consider a 50-person professional services firm attempting to connect their CRM (Salesforce), Project Management (Asana), and Invoicing (QuickBooks) systems. They choose a BI tool with a generic API connector. Initially, it works. However, as they grow, they hit the API rate limits of their CRM because the BI tool attempts to reload the entire historical dataset every hour. The dashboards crash during a Monday morning partner meeting. A specialized tool would use "incremental refresh," pulling only the records changed in the last hour, and would handle the "rate limiting" logic automatically. Furthermore, when the CRM administrator adds a new custom field for "Lead Source," a poor integration breaks the data pipeline, while a robust one dynamically adapts the schema.

Deep Dive: Security & Compliance

As BI tools increasingly become the repository for an organization's most sensitive data, they become prime targets. The global average cost of a data breach reached $4.88 million in 2024, highlighting the financial risk of unsecured analytics [8]. Evaluation must go beyond "Is it encrypted?" to "How is access governed?"

Expert Insight: Security researchers note that "Shadow IT"—where employees export data from secure BI tools into unmanaged Excel sheets—is a leading vector for data loss. Modern BI tools combat this with "Row-Level Security" (RLS). RLS ensures that when a Regional Manager logs in, they see only *their* region's data, even though the underlying report is the same for everyone.

Scenario: A healthcare provider uses a dashboard to track patient outcomes. Without RLS, they would need to create 50 separate dashboards for 50 different department heads to ensure no one sees unauthorized patient data—a maintenance nightmare. With RLS, they build one master dashboard. The system filters the data query at the server level based on the user's login credentials. If a user attempts to export the data, the governance policy restricts the export to only the allowed rows, or blocks the export entirely, preventing a massive HIPAA violation.

Deep Dive: Pricing Models & Total Cost of Ownership (TCO)

BI pricing is notoriously opaque. Buyers often conflate "License Cost" with "Total Cost of Ownership." Gartner research indicates that license fees often make up only a small portion of the 3-year TCO, with labor and operational costs accounting for up to 80% [9].

Expert Insight: "The most expensive part of a cheap BI tool is the full-time engineer required to keep it running," notes an industry analyst. The hidden costs lie in data storage, compute credits (for cloud-native tools), and the engineering hours required for data modeling.

Scenario: Let's calculate the TCO for a 25-person team.

Vendor A (Per-User Pricing): Charges $75/user/month. Annual license: $22,500. It includes a built-in semantic layer, meaning a business analyst (salary $90k) spends 20% of their time maintaining it. Total Year 1 Cost: ~$40,500.
Vendor B (Consumption Pricing): Charges $10/user/month ($3,000/year) but requires a separate SQL data warehouse and heavy data transformation coding. This requires hiring a dedicated Data Engineer ($140k/year). Total Year 1 Cost: ~$143,000.

Vendor B looks cheaper on the pricing page but is 3.5x more expensive in practice. Buyers must model the cost of the talent required to operate the tool, not just the software subscription.

Deep Dive: Implementation & Change Management

The "Empty Dashboard Syndrome" is the failure mode of most BI projects. Organizations buy the tool, connect the data, and then... nobody logs in. Research from DigitalDefynd suggests that user adoption rates for BI tools hover around a dismal 29% [10]. Implementation is a behavioral challenge, not a technical one.

Expert Insight: Gartner estimates that poor data quality costs organizations an average of $12.9 million annually, largely because it erodes trust [11]. If users find one error in a dashboard, they revert to their spreadsheets permanently.

Scenario: A logistics company rolls out a new fleet tracking dashboard. The technical team spends 3 months building complex charts. On day one, a fleet manager notices that "Fuel Costs" are missing data from the Southern region due to a tagging error. Instead of reporting the bug, the manager goes back to his manual Excel report. To prevent this, successful implementations use a "Certified Content" badge system. They launch with only 5 "Certified" metrics that are guaranteed to be accurate. They appoint "Data Stewards" in every department—not IT staff, but power users within operations—who serve as the first line of support and trust-building.

Deep Dive: Vendor Evaluation Criteria

The demo is a performance; the proof of concept (POC) is the reality check. A common trap is falling for "Art of the Possible" demos where vendors show hard-coded, perfect datasets. Evaluation must focus on how the tool handles messy data.

Expert Insight: "Don't ask if the tool *can* do X; ask *how* it does X," advises a VP of Research at a major analyst firm. The difference is between a one-click native feature and a 40-hour custom coding workaround.

Scenario: A retail buyer asks, "Can this tool handle fiscal year reporting?" Every vendor says "Yes."

Vendor A requires you to write a 50-line custom SQL script to offset dates for a 4-4-5 retail calendar.
Vendor B has a built-in "Fiscal Calendar" toggle in the settings.

In a slide deck, both are a "Yes." In a live POC using the buyer's actual sales data, the difference becomes immediately obvious. Buyers should mandate a "Live Data POC"—give the vendor a sample of *your* dirty data and give them 48 hours to build a dashboard. The result will tell you more than 10 sales meetings.

Emerging Trends and Contrarian Take

Emerging Trends 2025-2026: The market is shifting toward Composable Analytics. Instead of users logging into a separate BI portal, analytics are being deconstructed and embedded directly into CRM, slack, and operational apps. Gartner highlights "composable data and analytics" as a key driver for agility, predicting heavily integrated AI workflows [12]. Another major trend is the rise of AI Agents that don't just visualize data but act on it—monitoring margins and automatically flagging risks to procurement teams without human queries.

Contrarian Take: Dashboards are dying. The era of the "executive dashboard"—a static wall of charts that a CEO checks with coffee—is ending. The volume of data is too high for visual scanning to be effective. The future is "Headless BI" or "Push Intelligence," where the system runs quietly in the background and only alerts a human when a metric deviates significantly from its forecast. We are moving from a "Pull" model (logging in to check status) to a "Push" model (being notified of anomalies). Organizations spending millions to build "perfect" dashboards are optimizing a dying form factor; they should be investing in data alerts and automated root-cause analysis.

Common Mistakes

Over-Engineering the First Release: Teams often try to build the "God Dashboard" that answers every possible question. This delays launch by months. By the time it launches, business questions have changed. Start with a "Minimum Viable Dashboard" tracking 3-5 core KPIs.

Ignoring Data Hygiene: Implementing a modern BI tool on top of messy data is just "expensive chaos." Investing in a $50k BI tool without investing in data cleaning is the most common path to failure.

Confusing "Data-Driven" with "Chart-Obsessed": Just because you can visualize a metric doesn't mean you should. A dashboard with 20 charts is not better than one with 2. The mistake is optimizing for "information density" rather than "decision clarity."

Questions to Ask in a Demo

"Show me how to update a metric definition globally." (Tests the semantic layer).
"How does your pricing scale if we add 50 'viewer-only' users?" (Exposes adoption penalties).
"Can I embed this specific chart into our Salesforce homepage without a separate login?" (Tests composability).
"What happens to the dashboard if the database schema changes (e.g., a column is renamed)?" (Tests resilience).
"Show me the mobile view of this dashboard right now." (Most tools break on mobile; force them to show it live).

Before Signing the Contract

Final Decision Checklist: Ensure you have defined "Data Stewards" for the rollout. Verify that the "Connector" for your specific ERP/CRM is native and not a paid third-party add-on. Check the "Data Export" limits—ensure you aren't locked in.

Negotiation Points: Push for "Viewer" licenses to be significantly cheaper (or free) compared to "Creator" licenses. Ask for a "Price Lock" cap on renewal increases, as successful BI deployments tend to expand users rapidly. Negotiate for "Sandbox" environments to be included for testing before pushing to production.

Deal-Breaker: Lack of Version Control. If a user breaks a dashboard, can you "undo" to the version from yesterday? If the tool lacks Git integration or native version history, do not sign. You cannot run enterprise analytics on a platform where mistakes are irreversible.

Closing

Selecting the right BI platform is less about features and more about matching the tool's philosophy to your organization's data maturity. The right tool fades into the background, making insights feel instantaneous. The wrong tool becomes a second job. If you need help navigating the nuances of your specific industry or stack, reach out.

Email: albert@whatarethebest.com