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What is business analytics?
Business analytics is the practice of systematic exploration of data to inform business decisions, optimize performance, and identify future opportunities. It combines data analysis, statistical modeling, and predictive analytics to reveal insights that help organizations make evidence-based decisions.
While often used interchangeably with data analytics or business intelligence, business analytics typically emphasizes actionable insights not just understanding what happened but using the data to determine what should be done next. With the integration of artificial intelligence (AI) and machine learning (ML), modern business analytics has evolved into a powerful driver of strategic foresight and competitive advantage.
Why is business analytics important?
Business analytics enables organizations to use data to make quantifiable, informed decisions by:
- Identifying trends and patterns hidden in large datasets.
- Enhancing forecasting accuracy for sales, demand, and market shifts thanks to the perceived trends.
- Improving operational efficiency and performance, uncovering areas for cost reduction or process optimization.
- Mitigating risk through creating predictive models that anticipate challenges before they escalate.
- Supporting compliance and transparency by tracking key metrics and audit trails.
The capacity to interpret and act on data has become a defining factor for business success across industries, including finance, retail and customer support, legal and compliance, and the public sector.
How does business analytics work?
A good business analytics practice generally follows a structured workflow that helps transforms raw data into actionable insights:
- Data collection: Gathering internal and external data—from financial transactions, CRM systems, supply chains, or public data sets.
- Data cleaning & preparation: Ensuring accuracy and consistency through data validation and normalization.
- Analysis & modeling: Applying statistical, predictive, and prescriptive techniques to identify relationships or future outcomes, informing strategic decision-making.
- Visualization & reporting: Presenting insights through dashboards, charts, and reports for easier interpretation.
- Decision & action: Implementing data-driven strategies based on the insights produced.
For example, a retail company might analyze historical purchase data to predict seasonal demand, adjust stock levels, and refine pricing strategies—improving profitability while reducing waste.
Types of business analytics
While they all fall under the umbrella of business analytics, there are different types of business analytics depending on what question you need to answer.
|
Type |
Core Question |
Description |
Example |
|
Descriptive Analytics |
What happened? |
Summarizes past data to identify trends and patterns. |
Monthly sales reports and KPI dashboards. |
|
Diagnostic Analytics |
Why did it happen? |
Investigates root causes and contributing factors. |
Analyzing customer churn rates by demographic. |
|
Predictive Analytics |
What will happen next? |
Uses models and forecasts to anticipate outcomes. |
Predicting demand or credit risk. |
|
Prescriptive Analytics |
What should we do about it? |
Suggests actions to achieve desired goals. |
Optimizing logistics routes or marketing spend. |
Examples of business analytics use cases
Business analytics is not limited to one industry. Across different sectors, the practice can be used to inform decision-making through data-driven analysis.
- Finance: Banks apply predictive analytics to detect unusual transaction patterns, reducing risk and regulatory exposure.
- Retail: E-commerce platforms use prescriptive analytics to personalize recommendations and optimize pricing dynamically.
- Legal and compliance: Risk officers can keep up-to-date with changes in legislation and sanction lists to ensure all partnerships remain complaint.
- Media and PR: Communication teams monitor real-time media sentiment to manage reputation and measure campaign effectiveness.
How LexisNexis can help with business analytics
LexisNexis empowers data-driven decision-making through its advanced analytics and intelligence platforms, including:
Nexis+™ with Protégé™
Nexis+ with Protégé brings the next generation of business analytics to organizations by combining trusted LexisNexis content with powerful AI-driven insight generation. With the platform, teams can:
- Discover relevant news, company, and legal information faster using natural language queries.
- Analyze emerging trends with confidence, backed by authoritative, licensed data.
- Generate summaries, comparisons, and reports powered by LexisNexis’ unparalleled data ecosystem.
Nexis+ with Protégé supports informed strategic planning, compliance checks, and competitive research — all within an intuitive, generative environment.
Nexis® Data+
Nexis Data+ provides high-quality, licensed data sets that support business analytics across industries. By supplying structured legal, news, and business content, it ensures that data-driven analysis is backed by reliable, compliant information.
With Nexis Data+, organizations can:
- Discover flexible data delivery, customized for your organization
- Access a vast array of reliable data from a single provider
- Turn data into actionable insights for a strategic advantage
Together, Nexis+ with Protégé and Nexis Data+ deliver a comprehensive view of the data landscape — enabling organizations to turn information into intelligence faster.
Frequently asked questions
Business intelligence focuses on reporting and monitoring, while business analytics emphasizes deeper statistical analysis and predictive modeling.
Key skills include data visualization, SQL, statistical programming (Python/R), critical thinking, and domain expertise.
Yes. Cloud-based tools make analytics accessible at any scale, enabling small firms to improve marketing, budgeting, and operations.
Platforms such as Power BI, Tableau, Nexis+ AI, and Python libraries (like pandas and scikit-learn) are frequently used to collect and interpret data.
Ready to upgrade your AI models?
Use Nexis+ with Protégé to conduct research using accurate, licensed data —or talk to an expert about how you can use LexisNexis data in your organization’s existing AI models.
Make data-informed business decisions
Connect with a LexisNexis expert to discuss how to best support your organization’s business analytics.
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