To drive transformation, businesses, regardless of size, are going all-in on social media —71% of small and medium-sized companies now leverage social media as their leading marketing tool. While 90% of executives consider social media the main channel to interact with customers, a staggering 91% anticipate their spending on social media channels to increase by 50% over the next three years.
Social has long been considered a tool to nurture prospects and turn them into the hottest leads. But do you know that it is now used as a tool that augments business intelligence capabilities?
A source of customer insights, data gleaned from social media can be used to predict trends, patterns, customer behaviour, preference, and more, thus facilitating data analytics for more informed decision-making.
What is Social Business Intelligence
Social Business Intelligence is the process of combining the capabilities of traditional BI with the troves of data on social media for better analytics. This synthesis aims to allow businesses to collect, analyse and interpret data from social channels, and apply traditional BI processes to turn it into actionable insights. These insights are then used to augment their operational decision-making. Thus, businesses can drill down into both structured data (from internal sources) and unstructured data (from external sources like social media platforms) for better decision, one-up competitors and shift the paradigm to a much higher customer engagement rates. SBI does so by generating reports and creating interactive dashboards to visualise social media analytics.
At the core of social media intelligence are advanced data analytics, social listening data, natural language processing, sentiment analytics, social media analytics tool and comprehensive reporting that help measure social media performance. By integrating these components, SBI allows the effortless transformation of raw social media interactions and social media activities into insights that keep revenue rolling in.
What is Social Listening
Social listening is the process of scouring the web and analysing online conversations that include mentions of your business that help better understand your audience base. It involves monitoring and drilling down the social media channels your brand exists within and pinpointing instances if a prospective customer has mentioned it or offered feedback on your product/service.
The extracted data is then fed into data analytics systems to identify customer sentiments, trends, patterns, and business opportunities in the dynamic market landscape. The outcome is then culminated in detailed reports used for strategic business planning.
What Are the Key Components of Social Business Intelligence?
The components that make up social intelligence are:
Data Collection
Data collection involves using APIs, external data providers, and different data collection processes, such as web scraping, to gather data from all social media channels a business exists.
Data Integration
Data integration is a key component of a social media business intelligence tool that involves integrating the extracted social data with the capabilities of traditional BI systems. The result is a unified data repository that contains all the essential information a business needs to make strategic planning, comprehensive data analysis, reporting, and augmented decisions.
Data Analysis
Next is employing advanced data analytics techniques, for example, network analysis, trend, pattern, or sentiment analysis on the integrated data. It uses the data from social media platforms and extracts insights from it.
Visualisation
It means representing the outcome of data analysis through visually interactive ways such as graphs, charts, dashboards, etc. It makes reporting and decision-making feasible.
Reporting
Reporting is a key component of leveraging social business intelligence. It involves highlighting key findings of data analysis, such as trends, patterns, market dynamics, etc., using social media data and insights and making recommendations on the analysed result.
Monitoring
It involves taking a stalk of all social channels and staying well-informed of all changes, customer demands/preferences, and all insights from social media in real time. Enabling periodic monitoring of your social media presence is a key step in a well-curated social business strategy
How Does Social Business Intelligence Differ from Traditional Business Intelligence?
Both SBI and traditional BI aim to help strengthen decision-making by enabling effective and accurate analysis of data and extracting actionable insights from it. However, they have some differences. For example, traditional BI analyses structured data from internal sources, such as sales history and financial transactions, and leverages historical analysis to help identify trends and patterns. Common tools in traditional BI are data warehousing, ETL, and OLAP. On the other hand, SBI collects and digs deeper into unstructured data from external sources, such as social media channels and other platforms. It uses advanced techniques, such as NLP, and sentiment analysis to extract real-time insights from data. In short, SBI integrates a wide range of data sources and offers more in-depth and near-real-time data insights compared to traditional BI.
Why Does Your Business Need Social BI?
The custom analysis and interactive data visualisation with SBI allow businesses to efficiently address key business issues. As a result, the global SBI market is experiencing a massive boom.
Case in point: The SBI market size is projected to be worth US$ 25,886.8 million in 2024. The market is likely to reach US$ 49,632.4 million by 2034. The market is further expected to surge at a CAGR of 6.7% during the forecast period 2024 to 2034.
Let’s explore a few ways your team can leverage social media for business intelligence.
Assess customer sentiment
Having a clear understanding of how your customers feel about your business is a prerequisite to successfully tailoring your product or service. Advanced social BI tools support sentiment analytics – a sub-field of AI – that helps understand how excited your prospects are about your business or service. You can also identify trends and comprehend when and how the perception of your customers changes about your business.
Tracking these changes and insights helps you efficiently pinpoint activities with impacts on your customer sentiment.
Thus, you can add more activities with positive impacts on customer sentiments to build brand credibility.
Build Customer Relationships
With SBI, you can keep an eye on the customer comments and feedback – praise or criticism – across all social channels about your business.
Every comment, mention, and reaction collected across your social channels is more than just a measure of audience sentiment — it is raw data that, when properly channeled, strengthens the analytical backbone of your organization. the connection between social engagement and BI reveals how likes, shares, and customer replies can be systematically fed into business intelligence platforms to surface patterns, forecast trends, and inform strategic decisions. Understanding this relationship ensures that the time you invest in monitoring feedback is never siloed, but instead contributes directly to a broader intelligence framework that supports faster, more confident responses.
With a unified system to track unstructured data, it becomes effortless for a business to interact with users and respond to their inquiries promptly. It helps build a lasting relationship with customers.
In addition, with an advanced SBI system in action, businesses can identify customer demands, preferences, and feedback in real time. These high-end capabilities help personalise communication, tailor products/services based on customer demand, and roll out hyper-targeted advertising and social media campaigns that ultimately builds a stronger relationship with customers.
Perform Market Research
Researching market dynamics is critical when it comes to launching a new product or service or expanding the reach of an existing business. Thanks to SBI that makes it is effortless for a business to monitor how interested your prospective buyers would be in your products by tracking their feedback and perception.
Evaluate Sales Funnels
To ensure prospects turn into hottest deals, you need to take measures tk improve your bottom line. Thanks to advanced SBI tools that help effectively identify and monitor channels that beget the most effective results, From prospect engagement to conversion, SBI tools help understand the impact of each channel on the bottom line. With social BI, you can track the channels that drive the best results for your business. From engagement to clicks to conversions, you can understand how each channel contributes to your bottom line. Having this social media data on hand also help make better business decisions that keeps revenues rolling in while also improving the sales funnel. Thus, you can allocate budget and resources as effectively as possible.
That said, while investing in SBI tools, you will find the market bustling with options with bells and whistles. For example, for social media management and monitoring customers across all platforms your business presents, you can select Hootsuite. Sprout Social is great for businesses that need excellent social listening tools and capabilities, deep analytics and customer engagement. On the other hand, boasting advanced integration capabilities for CRM, Salesforce Social Studio excels at helping derive customer insights and personalise marketing efforts.
That said, before you invest in a toll, consider a range of features – its capability to integrate with the existing system your business is built around, analytics capabilities, ease of use, reporting and dashboard features, scalability and cost-effectiveness. Choose the tool that can offer you the best compromise between price and functionalities.
Data Science and Business Intelligence Strategist at Symbolic Data
George Wilson is the Lead Editor at Symbolic Data, where he spearheads the editorial direction and content strategy. With over a decade of experience in business intelligence and data management, George has established himself as a thought leader in the field. His expertise lies in translating complex data concepts into actionable insights for business executives and CEOs.
