Google Hotel Price allows users to search for hotels right on Google and in Google Maps, getting a list of hotels with prices, photos, reviews, and street view panoramas. Connecting your properties to this service can help you increase your traffic, expand your reach, and improve your reputation and user reviews.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Bring all your Google Hotel Price data to Amazon Redshift
Load your Google Hotel Price data to Google BigQuery
ETL all your Google Hotel Price data to Snowflake
Move your Google Hotel Price data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Specify a report you want to receive or retrieve a list of available reports. This can give you a solid understanding of your numbers and help you develop long-term insights.
List your submitted bids, including information about each bid and that bid’s multipliers. This information can help you see if you are bidding competitively and determine how to drive more customer volume to your properties.
Retrieve values displayed in the Hotel Ads Center scorecard view. This includes account-specific data, price accuracy scores, performance stats, opportunity stats, and more.
Get a report of your feeds so that you can have an updated understanding of your availability, prices, and hotels. Additionally, get insight into any errors or warnings that Google encountered so you can identify and fix issues ASAP.
Retrieve itinerary - check-in dates, length of stay, room rates, etc. - and pricing data for a particular property. This data can help you understand customer behavior, seasonal changes, and more.
View your Hotel List Feed to see valid hotels and hotels that aren’t indexed. Use this information to clean up your hotel list and fix any issues, including duplicate data, ambiguous or invalid names, etc.
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.