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Posts by author

anders@demandcalendar.com (Anders Johansson)

13 posts
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  • 6 min

How Independents Practice Revenue Management Chain Tools Can’t See

  • anders@demandcalendar.com (Anders Johansson)
  • 2 April 2026
The independents I work with and observe across the industry practice a form of revenue management that is broader, more nuanced, and more commercially complete than the room-rate-fixated model that…
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  • 5 min

Death of the Data Janitor: Reclaim Your Soul in Revenue Management

  • anders@demandcalendar.com (Anders Johansson)
  • 31 March 2026
You’ve developed a “Stockholm Syndrome” relationship with your Excel spreadsheet. You protect it. You defend its quirks. You’ve convinced yourself that if you aren’t the one manually pulling the Daily…
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  • 6 min

Revenue Managers Spend 25% of Their Day on Clerical Tasks Due to Lack of Automation, Says Demand Calendar

  • anders@demandcalendar.com (Anders Johansson)
  • 26 March 2026
📈 In many hotels, revenue managers spend 25% of their day on manual data tasks, compromising strategic decisions. By 10:00 am, they haven’t analyzed crucial metrics. Automated systems could reclaim this time, allowing focus on strategic tasks like forward-looking pace analysis, segment profitability, and total revenue forecasting. Improved systems give competitive advantages, with faster decision-making and enhanced data quality. The choice is clear: invest in automation to transition your revenue manager from data clerk to strategist.
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Displacement Analysis Enhances Hotel Profitability by Accurately Evaluating Group Business Impact on Net Profitability

  • anders@demandcalendar.com (Anders Johansson)
  • 24 March 2026
📈 Hotels are utilizing displacement analysis to optimize group bookings, focusing on net profit rather than gross revenue. By evaluating groups based on true costs, including distribution and per-guest costs, hotels ensure better financial outcomes. When comparing a €140 group rate with a €160 transient ADR, factoring in commissions narrows the gap to €5. Proper analysis identifies the Minimum Acceptable Rate for profitable bookings, enhancing decision-making speed and accuracy. This approach fosters collaboration between sales and revenue management, eliminating traditional friction.
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  • 9 min

Hotel Groups Warned Against In-House BI Tool Development Due to Risks of High Costs and Maintenance Challenges

  • anders@demandcalendar.com (Anders Johansson)
  • 19 March 2026
🏨 In-house BI projects in hotel groups often lead to costly mistakes. Building a proprietary BI tool requires ongoing maintenance, with salaries ranging from $140k to $180k for data engineers. A 30-hotel group faces integration issues due to fragmented systems like PMS and POS. SaaS solutions offer standardized integrations and ongoing innovation, mitigating risks like the "Bus Factor," where one key employee's departure can cripple the system. Instead, SaaS provides a robust, cost-effective alternative.
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  • 8 min

Newly Formed Commercial Task Force Aims to Overhaul Hotel Data Management for Increased Profitability and Efficiency

  • anders@demandcalendar.com (Anders Johansson)
  • 17 March 2026
📊 In the hospitality industry, effective data management is crucial. The challenge lies in transitioning from inefficient, Excel-dependent processes to a data-driven culture. A new Commercial Task Force aims to bridge this gap, focusing on a "Single Source of Truth" for decision-making. By ensuring data accuracy and operational discipline, hotels can achieve predictable margins and empower decision-making across teams, protecting profits and enhancing competitive reliability.
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  • 5 min

Unified Hotel Business Intelligence Tool Essential for Eliminating "Spreadsheet Wars" and Increasing True Net Profit

  • anders@demandcalendar.com (Anders Johansson)
  • 12 March 2026
📈 As hotel leaders clash over spreadsheet accuracy, profits suffer due to fragmented data. The "Spreadsheet War" wastes executive time, masking profit inefficiencies. By focusing on NetRevPAR instead of RevPAR, executives can address hidden costs like acquisition expenses. Siloed data and static reports hinder proactive strategies, affecting operations and staffing. A unified Hotel Business Intelligence tool can streamline growth, ensuring scalability and accurate decision-making, aligning teams toward true net profit, eliminating data chaos.
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  • 5 min

Demand Calendar Enhances Hotel Profitability by Automating Data Integration and Focusing on NetRevPAR and Total Guest Value

  • anders@demandcalendar.com (Anders Johansson)
  • 10 March 2026
📈 High profitability in the hospitality industry is hampered by manual data handling, leading to "spreadsheet wars" and fragmented insights. Critical decisions are often based on outdated information, causing internal friction. Traditional metrics like RevPAR are misleading; instead, focus on NetRevPAR and Total Guest Value. Automated data integration, real-time analysis, and comprehensive KPI tracking eliminate these inefficiencies, enabling strategic growth. Demand Calendar offers a solution, streamlining operations and enhancing decision-making for higher net profitability.
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  • 4 min

Implementing Demand Calendar BI Tool Enhances Hotel Group Forecasting Accuracy for Strategic Growth

  • anders@demandcalendar.com (Anders Johansson)
  • 5 March 2026
📈 CEOs of hotel groups prioritize forecasting to meet financial goals and manage risks. Accurate forecasts allow strategic decisions on capital expenditure and operational alignment. Implementing a unified forecasting system gives early warnings and ensures portfolio-wide alignment. Weekly updates and a centralized Business Intelligence tool, like Demand Calendar, enhance transparency and predictability. This approach ensures scalability and seamless integration of new acquisitions, supporting proactive management and future growth.
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  • 6 min

Demand Calendar Transforms Hotel Revenue Strategy with Real-Time Forecasting and TRevPAR Focus

  • anders@demandcalendar.com (Anders Johansson)
  • 3 March 2026
📈 In 2026, hotels leverage advanced forecasting to enhance profitability and guest experience. Identifying low-demand periods 60-90 days ahead allows targeted marketing and labor optimization, avoiding last-minute rate cuts. New metrics like TRevPAR shift focus from occupancy to profitability, valuing high-spending guests over volume. Daily data updates enable real-time strategy adjustments, while tools like Demand Calendar automate insights and streamline processes, freeing up time for strategic action. Segmentation and external data integration are crucial for precise forecasting.
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