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Writer's pictureChris Farr

Why You Need Business Analytics In 2025.


Woman looking at business analytics on a laptop

In today’s data-driven world, business analytics is no longer a tool reserved for large corporations. Small businesses can also see huge advantages from data insights, helping them make smarter, faster decisions.


Businesses that embrace data-driven decision-making are 5 times more likely to make faster decisions (McKinsey & Company), and those using business analytics are 23 times more likely to acquire customers and 6 times more likely to retain them (Bain & Company).


Small businesses report significant improvements with 40% that are using analytics seeing notable growth in decision-making and revenue (Salesforce).


By leveraging business analytics, small businesses not only improve efficiency and profitability but also gain a significant competitive advantage. It has been shown that data-driven companies are 3 times more likely to outperform their competitors in terms of sales growth (Harvard Business Review).


The power of analytics is clear—it empowers businesses of all sizes to adapt quickly, make informed decisions, and unlock new growth opportunities.


So let's take a look at what business analytics is all about and how you can start realising the advantages in your business.



What is Business Analytics?


Business analytics involves gathering, processing, and analysing data to transform raw information into actionable insights that can drive better decision-making. Small businesses can apply business analytics in various ways, depending on their needs and goals.


There are three primary types of analytics:

  • Descriptive Analytics

  • Predictive Analytics

  • Prescriptive Analytics


Each plays a unique role in guiding business strategies, so let's dive a little deeper into each one.



Descriptive Analytics: Understanding What Has Happened


Descriptive analytics focuses on summarising past data to understand what has happened within the business. It looks at historical data and uses statistical tools to interpret patterns and trends.


For example, small businesses often use descriptive analytics to:


  • Analyse Sales Trends: By reviewing past sales data, a small business can identify peak sales periods, popular products, or customer preferences. A retail store might use descriptive analytics to determine the most frequently purchased items during certain seasons.


  • Customer Behaviour Insights: Examining past customer purchases, preferences, and engagement patterns helps businesses understand who their customers are and what they value. For instance, a local gym might find that members who attend evening classes are more likely to purchase additional fitness gear.


Key Benefit

Descriptive analytics is a great starting point for small businesses because it turns raw data into understandable, digestible reports. These insights help businesses track performance over time and identify areas for improvement.



Predictive Analytics: Forecasting What Could Happen


Predictive analytics takes descriptive data a step further by using statistical models and machine learning to forecast future outcomes based on past patterns. It allows businesses to anticipate potential events or trends, which is particularly helpful for planning and decision-making.


For small businesses, predictive analytics might involve:


  • Demand Forecasting: By analysing past sales and trends, predictive analytics helps businesses anticipate demand for certain products. For example, an online clothing retailer might use predictive analytics to predict which styles will be most popular next season based on historical sales data.


  • Customer Retention Predictions: Small businesses can use predictive models to understand which customers are likely to churn (stop buying) and create retention strategies. A subscription box service might analyse customer usage patterns to identify subscribers at risk of cancelling their subscriptions.



Key Benefit

Predictive analytics gives small businesses a glimpse into the future, helping them prepare for market shifts, customer behaviour changes, or demand fluctuations.




Prescriptive Analytics: Recommending the Best Course of Action


Prescriptive analytics goes beyond understanding past events or forecasting future ones. It provides specific recommendations on actions to take based on data-driven insights.


This type of analytics uses algorithms and optimisation models to suggest the best strategies for achieving business goals.


For small businesses, prescriptive analytics can be applied to:


  • Optimising Inventory: Prescriptive analytics can help businesses decide how much inventory to order, when to replenish stock, and which items are most important to focus on. For example, a small boutique can use prescriptive analytics to determine the ideal inventory levels for each season, ensuring they’re neither overstocked nor understocked.


  • Pricing Strategy: By analysing competitor pricing, customer demand, and cost structure, prescriptive analytics can recommend the optimal pricing strategy. A restaurant, for instance, might adjust menu prices based on customer preferences, peak dining times, and competitor offerings.



Key Benefit

Prescriptive analytics empowers businesses to make strategic, data-backed decisions that can optimise performance, reduce costs, and maximise profits.




Key Benefits of Leveraging Business Analytics


Leveraging business analytics provides numerous benefits that can transform small business operations and strategies. From enhancing decision-making to improving customer engagement, business analytics equips small businesses with the tools to thrive in a competitive landscape.


Let’s take a closer look at how business analytics can benefit small businesses in real, practical ways:



Enhanced Decision-Making

In today’s fast-paced business world, making decisions based on gut feelings or outdated information can put small businesses at a disadvantage. With business analytics, small business owners can make data-driven decisions that are more accurate and timely.


For example, a local e-commerce store can use analytics to identify which products are underperforming. Suppose a particular product has been sitting on the shelves for months. In that case, the owner can run promotions or discounts to move the inventory, improving cash flow and reducing stockpiles of unsold items.



Businesses that embrace data-driven decision-making are 5 times more likely to make faster decisions (McKinsey & Company).



Improved Operational Efficiency

Business analytics can be a game-changer for streamlining operations and reducing inefficiencies. By analysing business processes and workflows, small businesses can pinpoint areas where resources (time, money, or staffing) are wasted and find ways to improve.


Consider that a small restaurant can track inventory data and food waste trends. If the analytics reveal that certain ingredients are often thrown away due to spoilage, the owner can adjust their order quantities or find ways to use the ingredients more effectively, saving money and reducing waste.


Companies that use business analytics experience a 10% increase in productivity on average (IDC).


Better Customer Understanding and Personalisation

Understanding your customers is one of the most powerful ways to build loyalty and drive sales. Business analytics helps small businesses understand customer behaviour, preferences, and buying habits, allowing them to tailor their services and marketing to meet the exact needs of their target audience.


For example, a local clothing boutique can use customer purchase data to track which items are most popular among different demographics. Analytics can reveal that young adults prefer certain styles, the boutique can stock more of those styles and offer promotions targeted at that age group.


Companies using analytics to improve customer insights are 23 times more likely to acquire customers and 6 times more likely to retain them (Bain & Company).


Competitive Advantage

In a crowded marketplace, small businesses need every advantage they can get. Business analytics can provide insights that help small businesses stay ahead of their competitors, anticipate market shifts, and better serve their customers.


Suppose a small bookstore uses business analytics to identify emerging book trends by analysing purchase patterns across similar stores or online platforms. The bookstore gains a competitive edge in attracting customers by stocking up on trending genres or popular authors ahead of competitors.


Data-driven companies are 3 times more likely to outperform their competitors in terms of sales growth (Harvard Business Review).


Scalability and Growth

As small businesses grow, managing increased demand and scaling operations becomes more challenging. Business analytics provides insights that help them scale effectively, ensuring sustainable and manageable growth.


Imagine a small online retailer that uses business analytics to track sales and inventory levels across multiple regions. If the analytics indicate that demand is rising in a particular region, the business can increase its supply chain efforts in that area, ensuring that they meet demand without overextending resources.



40% of small businesses using business analytics report significant improvements in revenue growth and decision-making (Salesforce).


How Can Business Analytics Help Small Businesses?



Leveraging business analytics can fundamentally change how small businesses operate. With the right data insights, business owners can optimise their sales, marketing, customer relationships, and finances, ultimately driving growth and profitability.


Sales: Tracking Performance and Identifying Opportunities

Sales analytics is a critical aspect of business growth. By using business analytics to monitor sales performance, small businesses can gain a deeper understanding of sales trends, customer behaviour, and potential sales opportunities.


  • Sales Trends: Analyse which products or services are performing best, at what times, and across which regions. For instance, a small electronics retailer can use sales data to understand which products are in high demand and adjust their stock levels accordingly.

  • Sales Forecasting: Use historical sales data to predict future sales trends. This helps in setting realistic sales targets and managing inventory efficiently. A home goods store might use this data to forecast increased demand for outdoor furniture in spring.

  • Revenue Growth: By regularly reviewing sales performance, business owners can identify patterns in their revenue growth or decline. If sales are dipping, this insight provides an opportunity to adjust strategies or promotions to reignite growth.



Finance: Improving Financial Management and Profitability


Financial analytics is at the heart of any successful business. By understanding the financial health of a business, owners can ensure they are making profitable decisions, managing costs, and maintaining cash flow.


  • Track Profit Margins: Regularly reviewing financial data helps businesses monitor profit margins. For instance, a small bakery might use financial analytics to evaluate the cost of ingredients versus sales, adjusting pricing to improve profitability.

  • Cash Flow Management: Use financial reports to track cash flow, helping to identify periods when additional funding might be required or when there’s excess cash available for reinvestment. A small landscaping company can use cash flow insights to plan for seasonal fluctuations in income.

  • Expense Control: Analytics can reveal where a business is overspending, allowing the owner to reduce unnecessary costs. For example, a small café can analyse spending on supplies and negotiate better deals with suppliers if data shows significant overages.



CRM: Enhancing Customer Relationships

Effective customer relationship management (CRM) reporting is crucial for fostering loyalty and improving retention. Business analytics allows small businesses to better understand their customers and tailor their communication and services to meet their needs.


  • Customer Segmentation: Use analytics to segment customers based on purchasing behaviour, demographics, or engagement levels. A local clothing store might create a report that segments customers into groups such as "high spenders," "frequent shoppers," and "occasional buyers" to personalize their marketing campaigns.

  • Customer Retention: Identify patterns that suggest when customers are likely to churn. For example, a subscription service could track customers who have stopped engaging with their emails or haven’t made a purchase in a certain period, allowing the business to target them with re-engagement campaigns.

  • Improving Customer Satisfaction: Use CRM data to track customer feedback, reviews, and support interactions. A small online retailer might use this information to address recurring customer complaints and improve the product or service offering.



Marketing: Optimising Campaigns and Boosting ROI

Marketing is an essential function for growing any small business. However, spending money on campaigns without understanding what’s working and what’s not can lead to wasted resources. Marketing analytics allows small businesses to measure the effectiveness of their marketing efforts and optimise campaigns to achieve better results.


  • Campaign Performance Tracking: Analyse the success of different marketing campaigns. For example, a small gym can track the performance of various Facebook and Instagram ads to determine which ads are driving the most sign-ups.

  • Customer Acquisition Costs: Track how much is being spent on acquiring new customers and compare it against the revenue they generate. This helps businesses ensure their marketing dollars are being spent efficiently. A local restaurant could calculate the cost per customer acquired through a seasonal promotion to assess its profitability.

  • Targeting & Segmentation: By analysing customer behaviour data, businesses can fine-tune their target audience and personalise marketing efforts. For instance, a small online bookstore could use data to target customers who’ve bought similar books in the past, sending them tailored offers based on their preferences.




How to Get Started with Business Analytics for Your Small Business


Adopting business analytics can be a transformative process for any small business, but like any strategic initiative, it requires thoughtful planning and execution. To effectively leverage business analytics, you’ll need to understand your data sources, set clear goals, avoid common pitfalls like data silos, and choose the right tools.


Here’s a roadmap to help you get started:


Understanding Your Data Sources

The foundation of any analytics initiative lies in understanding where your data is coming from. For small businesses, data is often spread across multiple systems, platforms, and departments. To get the most value from business analytics, you need to gather, consolidate, and properly analyse data from all relevant sources.


  • Sales Data: Your point-of-sale (POS) system or e-commerce platform is a key source of sales data. This information can tell you how much you’re selling, when you’re selling it, and which products are most popular.

  • Customer Data: Customer relationship management (CRM) software provides data on customer behaviour, interactions, and preferences. Analysing this data helps businesses segment their customer base and offer more personalised services.

  • Financial Data: Your accounting software tracks financial performance, expenses, and profitability. Integrating this data with sales and customer data can give you a more complete view of your business’s financial health.

  • Marketing Data: If you’re running online ads, tracking social media, or sending out email campaigns, these platforms will provide critical data on campaign performance, customer engagement, and acquisition costs.


By pulling data from these sources and unifying it in one place, businesses can derive more comprehensive insights that can inform decision-making.



Setting Clear Goals

Before diving into business analytics, it’s crucial to have clear goals in mind. Without well-defined objectives, your data can become overwhelming, and you may struggle to extract meaningful insights. Establishing specific, measurable, attainable, relevant, and time-bound (SMART) goals will help you stay focused on the most important areas of your business.


  • Increase Sales: A goal might be to increase product sales by 15% in the next quarter, based on insights from sales and marketing analytics.

  • Improve Customer Retention: If your data shows that customer churn is high, you might set a goal to reduce churn by 10% over the next six months by targeting at-risk customers with retention strategies.

  • Boost Marketing ROI: A small business might aim to improve the return on investment (ROI) from their marketing efforts by optimising ad spend and targeting more efficiently based on marketing analytics.


By aligning your business analytics efforts with clear goals, you’ll be able to measure your progress and adjust strategies in real-time to ensure you stay on track.



Avoiding Data Silos

Data silos are a common challenge, particularly for small businesses using multiple platforms for different areas of their business. Without integrating data from sales, finance, marketing, and customer relationship management into one place, you risk missing out on valuable insights that could drive growth.


What Are Data Silos?

Data silos occur when different departments or software systems store and manage data independently. For example, your sales team may track customer interactions in one system, while your marketing team uses another tool to track campaigns, and your finance team operates in yet another platform. When this data isn't unified, it’s hard to get a full view of customer behaviour, business performance, or financial health.


Avoid data silos by making sure that key stakeholders can access the data they need in one place, without having to jump between different platforms.




Choosing the Right Tools

The right tools can make all the difference when it comes to turning raw data into actionable insights. Each piece of software is very good at providing data on their own data, but using these tools often don’t integrate well with one another, which can create data silos. Or, for very small businesses or those just getting started, spreadsheets like Excel or Google Sheets can be used for basic data analysis. However, they can become cumbersome as your business grows.


There are also many options on the market that allow you to build your own dashboards, but many people lack the time, resources or technical experience to really take advantage of them. This is why Sontai offers an integrated suite of prebuilt templates that can streamline the process of data analysis for small businesses. These templates are designed to be user-friendly and customisable, so business owners can get up and running quickly without needing extensive technical expertise.




Overcoming Challenges in Business Analytics Implementation


For small businesses, implementing business analytics can be a game-changer, but it’s not without its challenges. Beyond budget constraints, there are several key considerations that businesses must address to ensure they get the most out of their investment in analytics. These include data quality and consistency, time and resource management, and understanding and interpreting results.


Here’s how small businesses can overcome these hurdles and achieve meaningful results from their business analytics efforts.



1. Data Quality and Consistency

One of the biggest hurdles in leveraging business analytics effectively is ensuring that the data you’re analysing is accurate, consistent, and up-to-date. Poor data quality can lead to misleading insights and flawed business decisions, ultimately undermining the value of any analytics tool.


  • Inconsistent Data: Data may be coming from various sources—sales, marketing, finance, CRM systems—and can be inconsistent in format or structure, making it difficult to analyse.

  • Dirty Data: Data can contain errors, missing values, or duplicates, which compromise the accuracy of your reports.

  • Unrealistic Data: Some businesses rely on outdated or irrelevant data, which can lead to conclusions based on inaccurate information.


Consistent and high-quality data ensures that your business analytics are reliable, which leads to better-informed decisions and fewer costly mistakes.



2. Time and Resource Constraints

Small businesses often face limited time and resources, which can make it difficult to dedicate the necessary attention to business analytics. Between managing day-to-day operations and serving customers, business owners may not have the bandwidth to dive deep into data analysis or learn complex analytics tools.


  • Time-Intensive Setup: Many analytics tools require a significant time investment to set up and configure, which can deter small business owners with limited resources.

  • Lack of Expertise: Small businesses may lack the in-house expertise to set up analytics systems, manage data pipelines, or interpret complex results.

  • Overwhelming Data: Once the data is collected, interpreting and analysing large amounts of data can be daunting without the right tools or experience.



3. Understanding and Interpreting Results

Even with the best data and tools in place, small business owners may struggle to interpret the results of their analytics efforts. Analytics can generate a wealth of data, but making sense of it in a way that drives actionable decisions can be a challenge, especially without a deep understanding of data analysis techniques.


  • Data Overload: With so much data at your fingertips, it can be difficult to determine which metrics are most relevant to your business goals.

  • Interpreting Complex Insights: Not all small business owners are familiar with data analysis methodologies, which can make it challenging to draw meaningful conclusions from complex data sets.

  • Taking Action on Insights: Even when insights are clear, deciding how to act on them can be difficult without a clear strategy.



4. Demonstrating the Value of Business Analytics

While the challenges are real, the return on investment (ROI) from implementing business analytics can far outweigh the costs. For small businesses, the ROI is often seen in reduced manual labour, more accurate data, and faster, data-backed decision-making.



  • Time Savings: By automating data collection and reporting, businesses can save hours of manual effort, which can be redirected toward growing the business.

  • Accuracy: Accurate data leads to better decision-making, minimising costly mistakes and improving business performance.

  • Proactive Decision-Making: Businesses can anticipate trends, forecast demand, and optimize resources, allowing them to stay ahead of the competition.

  • Improved Customer Satisfaction and Sales: With better customer insights from CRM and marketing analytics, businesses can personalise their offerings, improving customer retention and increasing sales.


Even if the upfront costs may seem daunting, the long-term benefits and ROI of implementing business analytics make it a wise investment for small businesses.



Conclusion: Unlock Your Business Potential with Business Analytics


Adopting business analytics might seem like a daunting task, especially for small businesses that are already stretched thin with daily operations. The challenges are real: managing inconsistent or low-quality data, investing limited time and resources into setting up analytics tools, and interpreting complex results. These obstacles can feel overwhelming, and it's easy to put off diving into analytics in favour of more immediate concerns.


But the reality is that business analytics is no longer a luxury, it’s a necessity for staying competitive in today’s data-driven world. Ignoring the power of business analytics could mean missing out on opportunities to optimise processes, increase efficiency, and ultimately, grow your business. On the flip side, businesses that successfully leverage data-driven insights gain a significant competitive edge.


The Pain of Not Leveraging Analytics

Without the proper tools, businesses often rely on guesswork, manual processes, and fragmented data, which leads to costly mistakes, missed opportunities, and wasted time. Without accurate data, it's nearly impossible to make informed decisions, forecast trends, or respond to customer needs effectively.


Here are just a few pain points small businesses face without business analytics:

  • Missed Revenue Opportunities: Without predictive analytics, businesses struggle to anticipate customer demand or trends, which can lead to lost sales or unsatisfied customers.

  • Inefficient Operations: Manual reporting and inconsistent data slow down decision-making and waste valuable time and resources.

  • Low Customer Satisfaction: With limited insights into customer behaviour, small businesses miss the opportunity to personalise services, leading to lower retention and reduced loyalty.


The Benefits of Business Analytics: Unlocking Growth Potential

Adopting business analytics helps small businesses address these pain points by turning data into valuable insights. By using tools like Sontai, businesses can automate time-consuming tasks, improve data quality, and make informed decisions that drive growth.


Key Benefits Include:

  1. Time Efficiency: Automating data collection and report generation saves valuable time that can be redirected toward more impactful tasks. Businesses using business analytics spend 80% less time on manual reporting and data entry. (Source: McKinsey)

  2. Improved Decision-Making: With accurate, real-time data, businesses can make smarter decisions. Companies using data analytics are 5 times more likely to make faster decisions than those who don’t. (Source: Bain & Company)

  3. Competitive Advantage: Data-driven companies are 23 times more likely to acquire customers, 6 times more likely to retain customers, and 19 times more likely to be profitable. (Source: McKinsey)

  4. Optimised Resources and Costs: By using predictive analytics, businesses can anticipate demand and optimise inventory, helping to cut costs and avoid stockouts or overstocking. This leads to better cash flow and more efficient operations.

  5. Customer Insights: Sontai’s CRM and marketing analytics allow businesses to gain deep insights into customer preferences, behaviours, and pain points. This empowers businesses to deliver more personalised services, improving customer satisfaction and retention.


Relieving the Pain: The Sontai Advantage

The Sontai suite of business analytics tools is designed specifically for small businesses.


With Sontai, you can:

  • Save Time: Automate manual reporting and reduce the hours spent on data entry.

  • Ensure Accuracy: Integrate and clean your data for accurate, consistent insights.

  • Make Data-Backed Decisions: Leverage prebuilt templates for sales, finance, CRM, and marketing to make smarter, more informed decisions.

  • Scale Efficiently: Start small and scale as your business grows, all while maintaining a clear view of your data.


With Sontai, the hurdles that come with data analysis, such as inconsistency, complexity, and resource constraints, are eliminated. The power of business analytics is right at your fingertips, ready to drive the results that your business needs to thrive.



Ready to Transform Your Business with Business Analytics?


If you're ready to take control of your business data and unlock new growth opportunities, Sontai is here to help. Our easy-to-use platform offers powerful analytics tools tailored for small businesses, helping you improve decision-making, increase efficiency, and gain a competitive edge.


Don’t let data challenges hold you back. Transform the way you work with Sontai’s business analytics suite today.


Get Started Now: Sign up for a free demo or contact our team to learn how Sontai can help your business harness the full potential of your data.

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