Category: Industry Guides

  • Best Business Intelligence Tools for Multi-Location Businesses in 2026

    Best Business Intelligence Tools for Multi-Location Businesses in 2026

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    Running two or more locations is a different kind of problem than running one. Every location has its own data. The POS at site one does not talk to the POS at site two. The accounting software shows a combined number, not a per-location breakdown. At the end of the month, you are still manually adding things up to find out which location is actually making money. That is what business intelligence tools exist to fix.

    If you have searched for BI tools recently, you have probably seen the same list: Power BI, Tableau, Looker, and Sisense. These are all real tools used by real businesses, but they are built for organizations with data engineers, IT departments, and annual budgets that most small multi-location businesses do not have. This article compares 7 tools specifically through the lens of a business running 2 to 5 physical locations, not a 500-person corporation.

    The BI tools compared for multi-location businesses in 2026 are Miivo, Tenzo, Zoho Analytics, Power BI, Domo, Restaurant365, and Looker Studio. Each tool is reviewed on what it is, who it is genuinely built for, what it does well, and what it does not do. A decision framework at the end helps you identify which tool fits your situation.

    Here Is What All 7 Tools Do, At A Glance

    Here is a quick overview before the full review of each tool below.

    ToolWhat It IsBest ForBiggest LimitationStarting Price
    MiivoAI-powered BI service with a dedicated human team. Done for you.Independent owners running 2 to 5 physical locations who want a cross-location view without building a tech stackNot ideal for businesses with an internal data team who want custom reportsFree; Built for You plan at $399/month (setup included)
    TenzoDedicated hospitality BI platform with 70+ integrationsMulti-site restaurant and hospitality operators with an existing tech stackFully self-serve, no human team. Custom pricing typically high for small independentsCustom pricing
    Zoho AnalyticsAffordable self-serve BI for SMBsSmall business owners comfortable building their own reportsNo automatic flagging, multi-location setup is manualFree plan; Basic from $30/month
    Power BIEnterprise BI from MicrosoftMid-to-large organisations with a data engineering teamRequires a data engineer to build and maintain. Not for owner-operators without technical staff$10/user/month (setup cost additional)
    DomoCloud-based enterprise BI with strong mobile accessMedium to large organisations with a BI team needing executive dashboardsEnterprise pricing. Steep learning curve. Not designed for small multi-location businessesCustom annual quotes (Consumption-based pricing)
    Restaurant365Full back-office operating system for restaurant groupsMulti-location restaurant groups with an internal finance team or controllerComplex without accounting expertise. High pricing. Requires internal capacityCustom; typically starting from $400 to $1,500+/month
    Looker StudioGoogle’s free dashboarding toolBusinesses that want a free entry point and use Google products heavilyNot a full BI platform. Multi-location views built manually. No alerts or teamFree; Pro at $9/user/month

    Miivo: Business Intelligence Plus a Team That Runs It for You

    What Miivo Is

    Miivo is an AI-powered business intelligence service with a dedicated human team. Unlike every other tool in this comparison, Miivo is done for you: the team connects all locations’ data sources, builds a combined dashboard, monitors performance across sites, and flags what needs attention automatically, without the owner having to configure or interpret anything.

    Best For

    Business owners running 2 to 5 physical locations (restaurants, salons, gyms, retail) who want a cross-location view without building a tech stack. Particularly strong when the main gap is seeing which location is underperforming and having someone flag it before it becomes a bigger problem.

    What Miivo Does Well

    • Miivo combines financial data from accounting, operational data from each location’s POS, and customer review data into one automatic daily view per location. 
    • AI Warning Signals flag when one location moves outside its normal range. 
    • Opportunity Cards surface specific actions. 
    • Competitor monitoring is built in. 
    • A dedicated human team handles setup, maintenance, and interpretation. 
    • The service goes live in 5 business days, with two pricing tiers and transparent monthly pricing throughout.

    What Miivo Does Not Do

    • Miivo is not suitable for a business with an internal data team that wants to build and maintain its own custom reports. 
    • It does not include standalone inventory management or labor scheduling. 

    The business intelligence tool is built specifically for physical SMBs, not corporate groups with 50 or more locations.

    Pricing: Free Ready To Use plan, which requires no credit card. Built For You at $399 per month. Managed Services at $1,299 per month. Setup included. No hardware costs.

    See how Miivo works for multi-location businesses

    Tenzo: Multi-Location BI for Hospitality Operators

    What Tenzo Is

    Tenzo is a dedicated restaurant and hospitality BI platform, not a POS system. It centralizes multi-site operational and financial data from 70 or more connected sources into a single cross-location dashboard. It is purpose-built for hospitality, which makes it genuinely useful for restaurant and cafe groups and largely irrelevant for salons, gyms, or retail businesses.

    Best For

    Multi-site restaurant and hospitality operators running 2 or more locations who already have a POS, labor scheduler, and inventory tool feeding data into the system. Tenzo works best when there is already an established tech stack and someone on the team willing to build and manage dashboards.

    What Tenzo Does Well

    • The integration library covers 70 or more systems, including POS platforms, labor schedulers, and review aggregators. 
    • Cross-location benchmarking is built in from the start, not something the owner has to construct manually. 
    • AI demand forecasting uses historical sales data and local event calendars to project future covers and adjust staffing recommendations. 
    • The custom dashboard builder gives operators flexibility to track the KPIs that matter most to their specific operation.

    What Tenzo Does Not Do

    • Tenzo is fully self-serve. 
    • There is no human team to handle setup, ongoing maintenance, or interpretation. 
    • The owner builds and reads the dashboards themselves. 
    • Pricing is not published and is typically positioned for multi-unit operators, which makes the cost high for a small 2-location independent. 
    • Tenzo is hospitality-specific and is not a suitable option for salons, gyms, or retail shops.

    Pricing: Custom pricing. Not published.

    Zoho Analytics: Affordable Self-Serve Reporting for Small Businesses

    What Zoho Analytics Is

    Zoho Analytics is a self-service BI and reporting platform built for small and mid-sized businesses. It offers an accessible drag-and-drop interface, a wide library of connectors, and an AI assistant called Zia that responds to natural-language questions about your data. The entry price is among the lowest of any tool in this comparison.

    Best For

    Small business owners who are comfortable building their own reports and have clean, organized data already in place. Zoho Analytics suits businesses that want a low-cost, self-serve BI tool connecting to common SMB software like QuickBooks, Zoho CRM, or Google Sheets, and have someone willing to maintain the dashboards on an ongoing basis.

    What Zoho Analytics Does Well

    • Pricing is affordable, with a free plan available for up to two users. 
    • The integration library covers 500 or more connectors. 
    • The drag-and-drop report builder requires no coding knowledge. 
    • Zia, the AI assistant, answers data questions in plain language, which lowers the barrier for non-technical users. 

    For a business with organized data and a willing operator, Zoho Analytics produces capable, cost-effective reporting.

    What Zoho Analytics Does Not Do

    • Zoho Analytics provides no human team, no automatic flagging, and no interpretation. 
    • Multi-location reporting requires manual setup per site. 
    • POS integrations are not as native as those in Tenzo. 
    • There is no review tracking or competitor monitoring. 
    • If no one in the business has time to build and maintain dashboards, the tool will not be used effectively regardless of its features.

    Pricing: Free plan for up to 2 users. Basic plan starts from $30 per month, Standard from $60 per month.

    Power BI: The Most Powerful Tool If You Have a Data Team

    What Power BI Is

    Power BI is Microsoft’s enterprise BI and analytics platform. It is the dominant tool for large organizations and is currently used by 97% of Fortune 500 companies. It offers industry-leading data modeling, visualization, and governance capabilities, and integrates deeply with the Microsoft 365 ecosystem. It is technically available to any size of business, but using it well requires someone who can build and maintain the underlying data models.

    Best For

    Mid-to-large organizations with a data engineering team or IT department already in place. Power BI is the strongest option on this list for a business that already runs the Microsoft stack, has a technically capable person on staff, and needs a tool that scales to complex reporting requirements. It is not built for business owners who need to check cross-location performance without technical support.

    What Power BI Does Well

    • Once set up, Power BI is extremely powerful. It connects to hundreds of data sources and produces excellent interactive dashboards. 
    • Near-real-time updates are available through Direct Lake mode. 
    • Governance and security controls are strong, which matters for businesses handling sensitive financial data. 
    • Deep integration with Microsoft 365, Azure, and Excel means it fits naturally into organizations already using those tools.

    What Power BI Does Not Do

    • Building useful dashboards requires a data engineer or someone with significant technical knowledge. Most small multi-location owners cannot do this themselves. 
    • Connecting POS or hospitality-specific data sources requires custom work, and that work has a real ongoing maintenance cost. 
    • The tool is not the problem. The assumption it makes, that a capable technical person exists to run it, is the problem for most businesses in the 2 to 5 location range operating without an IT team.

    Pricing: Power BI Pro at $10 per user per month. Data engineering setup cost is additional and significant.

    Domo: Enterprise-Grade Dashboards at Enterprise Prices

    What Domo Is

    Domo is a cloud-based enterprise BI platform that aggregates data from multiple sources and delivers executive dashboards with strong mobile access. It is built for medium to large organizations that need a centralized data view across many systems, and it is known particularly for its mobile app and real-time data capabilities.

    Best For

    Medium to large-sized organizations with a dedicated BI team that need data from many systems combined into a single executive view. Domo works well for presenting data to boards and leadership teams, and for organizations where senior decision-makers need mobile access to dashboards on the go. The tool depends on the existence of a team to configure, maintain, and manage it.

    What Domo Does Well

    • Domo connects to a very wide range of data sources. 
    • Its mobile app is genuinely strong for executives checking dashboards away from a desk. 
    • AI-powered insights are built in. 
    • The partner network and active community provide support for complex configurations. 

    For a large organization with the budget and team to use it properly, Domo produces a capable, real-time view across an entire operation.

    What Domo Does Not Do

    • Enterprise pricing puts Domo out of reach for most small multi-location businesses. 
    • The learning curve is steep for self-configuration.
    • The platform requires dedicated setup time and ongoing management. A 3-location restaurant or salon group has no data team to run this. 
    • Cost and complexity are the two most consistent criticisms from smaller users, and both apply directly to this audience.

    Pricing: Custom enterprise quotes up to tens of thousands. Annual contract required.

    Restaurant365: Deep Financial Control for Restaurant Groups With a Finance Team

    What Restaurant365 Is

    Restaurant365 is a comprehensive restaurant management platform that combines accounting, operations, and BI into one system. It is not a standalone BI tool. It is a full back-office operating system covering financial reporting, inventory management, food cost tracking, and multi-location consolidation. The depth of financial reporting it provides is not matched by any other tool in this comparison for restaurant groups.

    Best For

    Multi-location restaurant groups with an internal finance team or controller who need consolidated financial control across sites. Restaurant365 suits operators who want real P&L per location, prime cost visibility, and back-of-house management in a single platform, and who have the internal accounting capacity to set it up and use it properly.

    What Restaurant365 Does Well

    • Per-location financial reporting is the core strength. 
    • Real P&L, prime cost, food cost, and inventory by location are all available within a single consolidated view. 
    • POS integrations are strong and broad. 
    • For a restaurant group with a controller on staff, Restaurant365 provides the most thorough financial picture available at this business size.

    What Restaurant365 Does Not Do

    • The platform is complex to set up and manage without accounting expertise. For an owner-operator without a finance team, it is overwhelming. 
    • Pricing is high relative to the other tools in this comparison. 
    • There is no review tracking or competitor monitoring. 
    • Restaurant365 provides the platform, but the business owner has to supply the internal capacity to run it.

    Pricing: Custom pricing. Typically $400 to $1,500 or more per month depending on locations and modules. Implementation fees additional.

    Looker Studio: A Free Starting Point for Basic Reporting

    What Looker Studio Is

    Looker Studio is Google’s free dashboarding tool, formerly known as Google Data Studio. It connects to Google products, including GA4, Google Ads, Google Sheets, and BigQuery, as well as 800 or more community connectors. It creates shareable, visually clean dashboards and requires no upfront cost.

    Best For

    Businesses that want a free entry point for reporting, use Google Analytics or Google Ads heavily, and have someone willing to build reports manually. Looker Studio is well-suited to tracking digital marketing performance, but it is not designed to operate as the primary analytics system for a physical multi-location business.

    What Looker Studio Does Well

    • The core product is completely free. 
    • Dashboards are easy to share with stakeholders and look clean without requiring design work. 
    • Integration with Google’s ecosystem is natural and reliable. 
    • For a business primarily interested in tracking website traffic or ad performance, it provides a functional and accessible starting point.

    What Looker Studio Does Not Do

    • Looker Studio is not a BI platform in the full sense. 
    • There is no data warehouse, no semantic layer, and no automated flagging. 
    • Connecting POS or accounting data requires custom connector work. 
    • Multi-location views need to be built manually for each site. 
    • There is no team, no interpretation, and no alerts. 
    • It is a good tool for tracking Google Ads. It is not a sufficient tool for managing the operational and financial performance of a multi-location physical business.

    Pricing: Free for the core product. Looker Studio Pro at $9 per user per month. Third-party connector costs vary.

    How All 7 Tools Compare Side by Side

    Here is how all 7 tools compare across the features that matter most.

    FeatureMiivoTenzoZoho AnalyticsPower BIDomoRestaurant365Looker Studio
    Per-location performance viewYes ✅Yes ✅Partial ⭕ (manual setup)Partial ⭕ (if built)Partial ⭕ (if built)Yes ✅No ❌
    Cross-location benchmarkingYes ✅Yes ✅No ❌Partial ⭕ (if built)Partial ⭕ (if built)Partial ⭕No ❌
    Financial data and P&LYes ✅Partial ⭕Partial ⭕Yes ✅ (if connected)Yes ✅ (if connected)Yes ✅No ❌
    POS integrationYes ✅ (50+ systems)Yes ✅ (70+ systems)Yes ✅ (some)Partial ⭕ (custom work)Yes ✅ (via connectors)Yes ✅No ❌
    Review and reputation trackingYes ✅Yes ✅ (via integrations)No ❌No ❌No ❌No ❌No ❌
    Done-for-you setup and teamYes ✅No ❌No ❌No ❌No ❌No ❌No ❌
    AI alerts and automatic flaggingYes ✅Yes ✅ (demand forecasting)Partial ⭕ (Zia queries)Partial ⭕ (some alerts)Yes ✅ (AI insights)No ❌No ❌
    Accessible without a data teamYes ✅Partial ⭕Yes ✅No ❌No ❌Partial ⭕ (R365)Yes ✅

    Which Tool Fits Your Business

    Different multi-location businesses require different distinct features in their business intelligence tool that perfectly fit them, as given below.

    • You run 2 to 5 physical locations and want a cross-location view without configuring it yourself: Miivo is the only done-for-you option on this list. The team connects your data sources, builds the cross-location dashboard, and flags what changes across sites automatically. You do not build anything or interpret anything. This fits restaurant groups, salon chains, gym operators, and retail shops where the owner has no spare time for tech setup.
    • You run 2 or more restaurant or hospitality locations and already have a POS, labor scheduler, and inventory tool: Tenzo can be a good option in this case. It connects to more than 70 systems and provides genuine cross-location benchmarking and AI demand forecasting. Be prepared to build and maintain dashboards yourself, and factor in custom pricing when evaluating total cost.
    • You want an affordable self-serve tool and are comfortable building your own reports: Zoho Analytics can be an accessible option at this price point. It will not flag things for you automatically, but if you have clean data and someone willing to build the views, it is capable and reasonably priced. The free plan covers two users, which is enough to test whether it fits your operation before committing to a paid tier.
    • You are a restaurant group with 5 or more locations and a finance team or controller on staff: Restaurant365 provides the deepest per-location financial control available at this size: real P&L, prime cost, food cost, and inventory by site. It requires accounting capacity internally to use properly, and the pricing is based on the depth of the platform.
    • You already use Microsoft 365 and have someone technical who can build and maintain dashboards: Power BI is a powerful tool on this list once it is set up. If you have a data person and the Microsoft stack already in place, it connects to almost anything and scales as the business grows. The $10 per user per month license cost is low. The real cost is the data engineering work required to make it useful.

    Take a Look at Your Locations Inside Miivo

    Book a 15-minute call. We will pull data from your locations and show you what a combined view looks like inside Miivo, before you commit to anything.

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    *No credit card. No commitment. See your data first.

    Do small businesses with 2 to 3 locations actually need a BI tool?

    Yes, at two or three locations, the manual work of reconciling separate data sources takes real time each week. A BI tool replaces that with a single view updated automatically. The question is not whether you need the data. It is whether you can afford to keep producing it by hand.

    Can I track multiple locations without a data team?

    Yes, you can track multiple locations without a data team if you choose a done-for-you service tool. Self-serve tools like Power BI and Domo assume a technical person builds and maintains the dashboards, which most owners running 2 to 5 locations do not have. A managed service like Miivo connects every location’s POS, accounting, and review data, builds one combined view per site, and flags changes automatically, so you read the results without configuring anything.

    What is the best business intelligence tool for a small multi-location business? 

    The best business intelligence tool for a small multi-location business depends on whether you have a technical team. Owners running 2 to 5 locations without an IT department get the most from a done-for-you service like Miivo, which connects your data sources, builds a cross-location dashboard, and flags performance changes automatically. Self-serve tools like Zoho Analytics work well if you have clean data and someone willing to build the reports manually.

    Frequently Asked Questions

    Do small businesses with 2 to 3 locations actually need a BI tool?

    Yes. At two or three locations, the manual work of reconciling separate data sources takes real time each week. A BI tool replaces that with a single view updated automatically. The question is not whether you need the data, it is whether you can afford to keep producing it by hand.

    Can I track multiple locations without a data team?

    Yes, if you choose a done-for-you service. Self-serve tools like Power BI and Domo assume a technical person builds and maintains the dashboards, which most owners running 2 to 5 locations do not have. A managed service like Miivo connects every location’s POS, accounting, and review data, builds one combined view per site, and flags changes automatically, so you read the results without configuring anything.

    What is the best business intelligence tool for a small multi-location business?

    It depends on whether you have a technical team. Owners running 2 to 5 locations without an IT department get the most from a done-for-you service like Miivo, which connects your data sources, builds a cross-location dashboard, and flags performance changes automatically. Self-serve tools like Zoho Analytics work well if you have clean data and someone willing to build the reports manually.

  • Gut Feeling vs. Data-Driven Decisions: Why It Changes and How to Combine Both

    Gut Feeling vs. Data-Driven Decisions: Why It Changes and How to Combine Both

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    Gut feelings can be reliable when a business is small and the owner sees every interaction, but as a business grows, cognitive biases begin to distort these instincts. Combining intuition with data creates a reliable process where your gut notices a pattern, data verifies it, and your judgment makes the final decision.

    Research suggests over half of businesses base at least half of their regular business decisions on gut feel or experience rather than data. Early on, that usually works fine. As a business grows, it gets harder. This article looks at why that shift happens, what changes when data joins the decision, and how to start, without throwing out the instincts that got you here in the first place.

    What does ‘gut feeling’ actually mean in business?

    When a business owner makes a decision based on gut feeling, they are not guessing randomly. They are drawing on everything they have noticed before, such as which days tend to be busy, which customers tend to come back, and which suppliers tend to cause problems. The pattern recognition is real and often accurate. The issue is not that gut feeling is wrong, but the fact that it depends completely on what the owner has personally seen, and there is a limit to how much of the business one person can personally see at once.

    Why does gut feeling work well in the early days?

    When a small salon has 40 regular clients, the owner knows most of them by name, knows who is happy and who has been quiet lately, and can feel a shift in the business almost as it happens. Decisions made on instinct at this early stage are often right, because the owner’s gut is built directly from daily, personal contact with the whole customer base. There is no meaningful gap between what is actually happening on the floor and what the owner can clearly see. Speed matters much more than deep analysis when the picture is this small and this close.

    Why does gut feeling become less reliable as a business grows?

    As a business grows past the point where the owner can personally know everyone, the same instincts that used to work start to quietly mislead. The following patterns show up again and again.

    PatternWhat It Sounds LikeWhat Actually Happens
    Selection bias“My regulars would tell me if something was wrong”The regulars who complain are the ones you hear from. The quiet customers who simply stop booking never say anything, they just do not come back.
    Recency bias“This week has been terrible, something is seriously wrong”One bad weekend feels like a trend, even if the three weeks before it were completely normal.
    Confirmation bias“I always said the new till system would slow things down, and now it has”Once you expect something to be the cause, you notice the days that confirm it and overlook the days that do not. A survey by the Economist Intelligence Unit found that 57 percent of senior business professionals would reanalyze data if it contradicted their gut feeling.

    None of these mean the owner is bad at running the business. They are normal patterns that affect everyone, and they get stronger as the business gets bigger.

    What does a data-driven decision actually look like?

    A data-driven decision starts the same way a gut decision does: you notice something. But here’s the difference, instead of acting on the feeling immediately, you check it against what the numbers actually show. If a salon owner senses that Tuesdays have gone quiet, a data-driven approach means looking at bookings for the last few Tuesdays before deciding whether to change staffing, run a promotion, or do nothing. Research from McKinsey has linked this kind of data-informed decision-making to meaningfully higher profitability, with some analyses showing earnings improvements of up to 25% in organizations that consistently do this.

    What is the difference between a gut decision and a data-informed one, in practice?

    Here is the same situation handled two ways: a cafe deciding whether to raise its coffee prices.

    Gut ApproachData-Informed Approach
    The owner feels customers will accept a price rise, since nearby cafes charge more.The owner checks how often regulars currently visit and roughly how price-sensitive this customer base has been in the past, based on how they reacted to past small changes.
    Prices go up across the board immediately.Prices go up on a couple of items first, while keeping an eye on whether regulars visit less often over the following two to three weeks.
    If regulars start visiting less, it is hard to tell whether it was the price change or something else like weather or a new competitor.If visits drop noticeably after the change and nothing else has shifted, the cause is much clearer, and prices can be adjusted with more confidence.

    None of the approaches remove the owner’s judgment. The data-informed version just gives that judgment something to check itself against, so a price rise that does not land can be caught and corrected in weeks instead of being discovered in next quarter’s accounts.

    Does becoming data-driven mean ignoring your instincts?

    No, becoming data-driven does not mean ignoring your instincts. In practice, most owners who use data well describe a pattern that looks like gut, data, gut. The instinct notices something first, data checks if that instinct holds up, and then judgment decides what to do with what the data shows. Data on its own does not make decisions. It gives the instinct something to check itself against.

    This is not a soft compromise, it is how most experienced business owners actually work. Surveys of business leaders consistently find that the large majority believe human judgment should come before, not instead of, hard analysis. The aim of using more data is not to replace the instincts that built the business. It is to catch the moments when those instincts are about to be wrong, before they cost something.

    What usually gets in the way of using data?

    The most common reason owners give for not using data more is a lack of time. Pulling numbers together by hand, from a till, a booking system, and a bank account, genuinely takes hours that most owners do not have to spare. This is a real obstacle, not an excuse, and it is the first thing worth solving.

    The second is not feeling confident in interpreting what the numbers mean. An owner does not need to become a data analyst. They need the numbers explained in the same plain language they already use to talk about their business, so a number that has moved is obviously meaningful, just another figure on a screen.

    How can a small business start making more data-informed decisions?

    The easiest place to start is not to become data-driven as a whole, but to take one recurring decision, for example staffing levels, a pricing question, or which days to run promotions. Pick one, and for a few weeks, before acting on instinct, take a minute to check what the numbers say about that specific question.

    Once that single habit feels normal, rather than like extra work, it is likely to spread naturally to other decisions. The numbers or KPIs that are actually worth checking for most physical businesses are a small, fairly consistent set of data.

    What changes once the data starts flagging things for you?

    Making data-driven decisions is a habit that depends on remembering to check. A more proactive version flips this, where instead of the owner checking the numbers, the numbers tell the owner when something is different from normal. A quiet week, a cost that has crept up, a pattern in reviews, these get flagged automatically, and the owner’s judgment takes over from there, the same gut, data, gut pattern, just starting from a flag instead of a feeling.

    Miivo’s AI Business Dashboard works this way for small businesses. It flags Warning Signals when something moves outside its normal range, and surfaces specific Opportunity Cards when the data points to one. The data does not decide what to do. It makes sure the owner’s judgment gets applied to the right thing, at the right time, instead of discovering it weeks later.

    Where can a small business go next to put this into practice?

    Two practical questions usually follow from here. The first is which numbers actually matter for a business like yours, including how many to track and which ones tend to be vanity metrics. The second is what it looks like to see all of this in one place

    Miivo answers both of these questions at the same time. The business intelligence platform helps all types of small businesses put their regular data into practice through a single dashboard. The AI-powered technology continuously analyzes your data to help you make informed, data-driven decisions.

    What other questions do people ask about gut feeling and data?

    Can data ever be wrong or misleading?

    Yes, sometimes data can be incomplete, miscategorized, or measuring the wrong thing, and confident numbers can be just as misleading as a confident feeling. The correct approach is not to distrust data generally, it is the same fix as for gut feeling, which is to check it against something else before acting on it fully, whether that is a second data source or your own experience of the business.

    Is this different from just looking at more reports?

    Yes, this is different from just looking at more reports. A report is something you read after the fact. Using data in decisions means checking a specific number before you act on a specific decision, which is a habit, not a document. A business can produce plenty of reports that nobody reads before deciding anything, and a business can make genuinely data-informed decisions while glancing at very few numbers, as long as they are the right ones at the right moment.

    Does this apply if I am running the business on my own?

    Yes, arguably more so, as a solo owner has the least spare time to dig through numbers, which makes the ‘gut, data, gut’ habit even more valuable. Do a quick check on one number before a decision, rather than a full review of everything. The goal is not a bigger workload, it is a slightly different one, spent on the decisions that matter most.

    How long does it take to notice a difference?

    It depends on the decision, but the habit itself can start immediately. The next time you notice something and feel like acting on it right away, that is the moment to check. Whether the difference shows up in days or months depends on how often that kind of decision comes up. For something like weekly staffing, you would expect to see a pattern within a few weeks. Most business owners check metrics weekly.

    Frequently Asked Questions

    Can data ever be wrong or misleading?

    Yes, sometimes data can be incomplete, miscategorized, or measuring the wrong thing, and confident numbers can be just as misleading as a confident feeling. The correct approach is not to distrust data generally, it is the same fix as for gut feeling, which is to check it against something else before acting on it fully, whether that is a second data source or your own experience of the business.

    Is this different from just looking at more reports?

    Yes, this is different from just looking at more reports. A report is something you read after the fact. Using data in decisions means checking a specific number before you act on a specific decision, which is a habit, not a document. A business can produce plenty of reports that nobody reads before deciding anything, and a business can make genuinely data-informed decisions while glancing at very few numbers, as long as they are the right ones at the right moment.

    Does this apply if I am running the business on my own?

    Yes, arguably more so, as a solo owner has the least spare time to dig through numbers, which makes the ‘gut, data, gut’ habit even more valuable. Do a quick check on one number before a decision, rather than a full review of everything. The goal is not a bigger workload, it is a slightly different one, spent on the decisions that matter most.

    How long does it take to notice a difference?

    It depends on the decision, but the habit itself can start immediately. The next time you notice something and feel like acting on it right away, that is the moment to check. For something like weekly staffing, you would expect to see a pattern within a few weeks. Most business owners check metrics weekly.