and Analytics for Hospitality
Enhancing FP&A with Shared Self-Service
Planning and Analytics Capabilities
La Quinta (NYSE: LQ), which owns, operates and franchises more than 870 hotels in North and Central America, has been one of the fastest-growing select-service hotel brands in the United States over the past ten years*. With such rapid growth, planning became cumbersome and laborious for everyone involved. Limited visibility into company metrics and property attributes led to many missed opportunities.
To resolve these issues, La Quinta chose to share self-service planning and analytics capabilities among general managers at more than 350 corporate-owned hotels. The goal was to replace quarterly revenue forecasts with a continuous forecasting environment accessible to decision-makers from any device. LaQuinta selected Tidemark because it provides a single source of data that connects to their current systems (i.e. Tidemark's Payroll Analytics takes data from La Quinta's Kronos and PeopleSoft systems and provides daily analytics on hours and costs per room including information on overtime by job Codes, employee and inn) and reduces the time for general managers to complete planning cycles while scaling with big data and 425+ users.
With Tidemark, hotel managers can optimize revenue efficiency by modeling what-if scenarios that show the impact of certain decisions. Managers can also determine optimal room pricing in every market by importing and analyzing unstructured data from external sources, such as ZIP code-specific RevPAR numbers from hotel market benchmark service STR. On the corporate level, that same information can be combined with local wage data to feed sophisticated what-if models that can help executives pinpoint the most profitable locations for new hotels.
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How is Tidemark is Different?
Tidemark's modern cloud architecture allows for unlimited dimensionality. This allows you to drill down to near real-time data rather than work off outdated summary level transactions. Tidemark's intuitive user interface fosters collaboration between decision makers to ultimately act on the story behind the numbers.
- Uses Apache Hadoop to process large data sets across clusters of computers
- Leverages Spark to power high-level tools for predictive and machine learning capabilities
- Access to as many CPU's and as much memory you want so you can analyze detailed data rather than summaries or subsets
- Get to the low level detail in a data warehouse efficiently
User Experience and Process Framework
- Expose all information with a mobile first user interface that gives finance the control they need to execute on data-driven plans
Not Enough Processing Power
- Can't work with hundreds of millions of records in a data warehouse
Summary Level Transactions
- Data is not a fully comprehensive view of what's happening within the organization
- Can only work with the structure provided
- Changes in the hierarchy can take a very long time
Excel-Based User Interface
- Does not account for real-time data and collaboration is difficult (users can't share or contribute efficiently)
Packaged Processes Specifically for Hospitality Planning and Analytics
- Get access to transparent reporting of financial results at the day, week, region and hotel levels.
- Forecast holiday performance and run what-if scenarios based on big data analytics.
- Plan daily revenue using key performance metrics including rooms occupied, average daily rate, room revenue.
- Identify which days (weekends vs. weekdays) need adjusting in order to hit new occupancy goals.
- Determine how many rooms on which days at which levels need to get booked.
- Access year-over-year analysis and change pricing and forecasts based on external events (i.e. major sporting event).
- Get easily consumable dashboards and reports that show what's going on within the organization while safely not seeing unimportant data.
- Collaborate within the system with general managers to get explanations on important actions and metrics.
- Avoid getting lost in countless emails and losing the context of the conversation.
- Track current and planned headcount budgets across departments.
- Analyze payroll, benefits and tax to pinpoint variables that affect performance.
- Plan benefits and merit increases.
- Leverage predictive modeling to see where to hire and retain, what skills to improve, and how wage and merit changes impact business performance.