We will provide you with a free, 1-hour briefing on how you can derive tremendous value from Power BI Embedded.

You can shape the future of Hospitality and Travel using real-time data

Data Analytics is one of the key directions for digital transformation in various industries, Travel included. And Hospitality is no exception: the Travel, Hotel and Food Service industries, by their nature, operate large amounts of data. The sources range from inventory to distribution channels, from customer behavior data to housekeeping records. As business grows, these become impossible to analyze and keep track of manually or by using spreadsheets.

Your organization can make a more measurable impact in the following areas.

Customer Segmentation

Hospitality strives for an exclusive and unique approach to each individual customer. Guests can be segmented by demography, geography, and behavior
All of this data comes from bookings made on the website, purchases through POS systems, CRMs, or any other place where personal preferences are shown
As a practical use case, customer segmentation will help you consider personalized offers or tap into new opportunities in customer experience

Reservation Analysis

Occupancy rate is one of the main metrics for Hospitality, Travel, and Food Service industries which shows what percentage of units is occupied during the time period. Sourcing past occupancy rates gives you an ability to analyze what factors affected it in the past and make forecasts for the future
For example, you can compare annual data to analyze what impacts the occupancy, whether these are seasonal changes, events, changes in the competitor’s market, or your own pricing / marketing strategies
That way, you can figure out which tendencies are occurring regularly, and how you can respond to them to optimize your revenue

Revenue Management and Advanced Pricing Strategies

Revenue management is a complex discipline that considers hundreds of factors to predict optimal pricing and generate target revenue
With the advances of Machine Learning, Business Intelligence data can be applied to automate rate changes and introduce dynamic pricing
Instead of analyzing this data manually, Machine Learning models can be trained on your historical data to spot tendencies and suggest optimal prices for a given period

Power BI Embedded Features

Power BI Embedded delivers compelling data experiences for your end users, enabling them to take action based on insights from your solutions data. With Power BI Embedded you can quickly and easily provide exceptional customer-facing reports, dashboards, and analytics in your own apps by using and branding Power BI as your own.

There are several reasons why customers need a Power BI Embedded solution.

Reduces training time and costs

Share Power BI content internally and externally, without requiring additional Power BI Pro licenses for report consumers

Easy-to-manage security

Ensures data is appropriately filtered based on user identity by allowing you to enable row-level security (RLS) if required

Simplify end-user experience

Provides a stable experience for end-users that does not change monthly or require monthly end-user training

Analytics expertise

20 years of BI innovation, hundreds of features released annually

Control user experience

Match to your brand with color theming, select from limitless visuals

Easy to deploy and manage

Embed with JavaScript SDK, get data privacy with row level security, you own all user authentication

No end user licensing

Scale between capacities to accommodate demand. Creation and development testing is free

Agenda

We will discuss and understand your current business insight goals in an open and collaborative conversation that will cover:

Review of current BI state: you will quickly describe us the current state, where you want to go and constraints
Business questions that compel you and the lack of answers you get from your current BI setup

Audience

Business/IT decision makers
Business Analysts
Business Intelligence Managers

Meeting Deliverables:

During this briefing we will:

Explore Power BI Embedded benefits
Compare reporting options: SSRS, Power BI Report Server, Power BI Embedded, Power BI Premium, and Hybrid scenarios
Power BI Embedded licensing and capacity options
Assess if licensed Microsoft technologies are available and evaluate the best Power BI Embedded implementation approach