Scenarios for Using Business Analysis Tools

When analyzing a business, management will commonly employ a selection of diverse tactics including SWOT analysis and quantitative analysis.

An ERP (enterprise resource planning) system can then be used as one of the many repositories of corporate data that needs to be analyzed.

SWOT analysis outlines a business's strengths, weaknesses, opportunities, and threats. It involves specifying the objective of the business venture or project and identifying the internal and external factors that impede or assist in achieving that objective.

Quantitative analysis works in financial matters using numerical techniques to plan and execute the next move.

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Analyzing Data From Various Corporate Systems

InetSoft’s analysis tool can access a host of third party application data sources, for example:

• • Siebel CRM • JD Edwards
• PeopleSoft • SAP • Baan

Quantitative Analysis

InetSoft’s data visualization solution reduces the capacity for human error by providing direct access to corporate data, avoiding the problems associated with exporting data to spreadsheets for analysis purposes.

Since data remains in its original unaltered form, organizations are assured that the decisions and actions they take are based on sound information.

SWOT - Strengths, Weaknesses, Opportunities, Threats

InetSoft's easy-to-use quantitative analysis tools aid business managers in doing SWOT analysis. Several of the application’s functions such as brushing, data mashup, and the ability to drill down into the data help bring SWOT factors into focus.

Very quickly management can determine what is being done right and what should be improved upon.

Read why choosing InetSoft's cloud-flexible BI provides advantages over other BI options.

How Does a News & Media Analytics Lead Use Business Analysis Tools?

A News & Media Analytics Lead plays a crucial role in leveraging business analysis tools to extract actionable insights from data within the news and media industry. Here's a detailed exploration of how such a professional may use business analysis tools:

  1. Audience Engagement Analysis:
    • Tool Usage: Utilizes analytics tools to analyze user engagement metrics, such as click-through rates, time spent on articles, and social media interactions.
    • Objective: Understands audience behavior to optimize content placement, improve user experience, and tailor content to meet audience preferences.
  2. Content Performance Monitoring:
    • Tool Usage: Monitors content performance through analytics tools that track page views, shares, and comments.
    • Objective: Identifies high-performing content, enabling data-driven decision-making for content creation, curation, and promotion strategies.
  3. Social Media Analytics:
    • Tool Usage: Leverages social media analytics tools to track the reach, engagement, and sentiment of news content on various platforms.
    • Objective: Understands social media trends, gauges public sentiment, and adjusts content strategy to maximize social media impact.
  4. Advertising Revenue Optimization:
    • Tool Usage: Utilizes ad analytics tools to track the performance of advertising campaigns, click-through rates, and audience demographics.
    • Objective: Maximizes ad revenue by optimizing ad placements, targeting specific demographics, and adjusting ad strategies based on performance data.
  5. Competitor Analysis:
    • Tool Usage: Conducts competitive analysis using tools that track competitors' content performance, audience engagement, and social media presence.
    • Objective: Identifies market trends, benchmarks against competitors, and formulates strategies to maintain or gain a competitive edge.
  6. Content Personalization:
    • Tool Usage: Implements content recommendation engines and personalization tools.
    • Objective: Enhances user experience by delivering personalized content recommendations based on user behavior, preferences, and historical data.
  7. Subscription and Audience Retention Analysis:
    • Tool Usage: Utilizes analytics tools to analyze subscriber behavior, churn rates, and reasons for audience attrition.
    • Objective: Develops strategies to improve audience retention, increase subscriber satisfaction, and optimize subscription models.
  8. Data-driven Editorial Decision-making:
    • Tool Usage: Employs analytics tools to guide editorial decisions based on data insights.
    • Objective: Ensures that editorial content aligns with audience interests, trending topics, and strategic business objectives.
  9. Predictive Analytics for Trend Forecasting:
    • Tool Usage: Integrates predictive analytics tools to forecast trends in news consumption, content preferences, and audience behavior.
    • Objective: Anticipates market trends, enabling proactive content creation and strategic decision-making.
  10. Data Visualization for Stakeholder Communication:
    • Tool Usage: Utilizes data visualization tools to create dashboards and reports for communicating key performance indicators to stakeholders.
    • Objective: Facilitates clear and concise communication of analytics findings to support informed decision-making among executives and team members.
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