Data Analytics Service overview

Available in Classic and VPC

Data Analytics Service is a service of NAVER Cloud Platform that helps facilitate use of the business intelligence environment in the cloud environment. It can be connected with NAVER Analytics, which offers you behavior data of site visitors and shopping data from NAVER Shopping. Those data are newly collected everyday, and you can analyze them on the Superset dashboard to improve your understanding of your customers and the market.

Various functions provided by Data Analytics Service

The following describes various functions offered by Data Analytics Service.

• Provides a variety of data for understanding of the market and customers: to enable wide and accurate analysis of the target market and customers by offering NAVER’s data about visits to the website and search statistics
• Provides an easy and convenient data analysis environment: to enable easy and convenient analysis of auto-saved logs on a daily basis using data visualization tool Superset
• Provides API recommendations: by offering recommendation scores of popular APIs analyzed based on statistics about visits to the website
• Keeps customer information safe: by storing the data in a fully certified environment for security

About Data Analytics Service guide

Data Analytics Service provides its services to the Korean Region. For best use of Data Analytics Service, see the following table of contents and each of their details.

• Data Analytics Service overview: Data Analytics Service introduction, relevant resources facilitating use of the service, and FAQ
• Prerequisites for using Data Analytics Service: specifications and pricing plans for use of Data Analytics Service
• Data Analytics Service concept: information on concepts that help you understand how to use Data Analytics Service
• Data Analytics Service scenarios: a guide to the entire process of Data Analytics Service for its use
• Get started: how to start using Data Analytics Service
  • Subscribe and unsubscribe: how to subscribe and unsubscribe from Data Analytics Service on the NAVER Cloud Platform console
• Using Data Analytics Service: how to use Data Analytics Service
  • Package: how to apply for and manage packages
  • Site data: how to request and manage data, set up API recommendations, and view usage
  • Site data history: how to check history of site data saved in the Object Storage
  • Shopping data: how to request and manage shopping data
  • Superset: how to use the data visualization tool Superset and to manage block storage capacity
• Managing Data Analytics Service permissions: how to manage Data Analytics Service permissions using Sub Account
• Data Analytics Service glossary: must-know key terms for use of Data Analytics Service
• Data Analytics Service release notes: history of updates of the Data Analytics Service usage guide

Relevant resources for Data Analytics Service

NAVER Cloud Platform offers a variety of relevant resources in addition to usage guides in order to help customers understand Data Analytics Service. If you are considering whether to introduce Data Analytics Service or in need of detailed information for developing data-related policy as a developer, marketer, and so on, make good use of the following resources.

• For advanced understanding and use of Data Analytics Service
  • Data Analytics Service API guide: how to use API as a developer of Data Analytics Service
  • Ncloud use environment guide: a usage guide on VPC and Classic environments and supported features
  • Pricing plans, features, and detailed functions: summary of pricing plans, features, and detailed functions of Data Analytics Service
  • FAQ: frequently asked questions about Data Analytics Service
  • Latest service news: latest news related to Data Analytics Service
  • Contact us: send direct inquiries in case of any unresolved questions that aren't answered by the guides
  • NAVER Analytics website: information about NAVER Analytics that collects site visit logs
  • Superset documentation (in English): basic concepts of data visualization tool Superset provided by Data Analytics Service, how to use it, and tutorials
• Usage guide for services that can be connected to Data Analytics Service
  • Sub Account guide: how to use Sub Account, which helps the management of administration permissions for Data Analytics Service
  • Object Storage guide: how to use Object Storage, which stores collected data

Check FAQs first.

You can get your questions answered quickly by referring to the answers in the FAQ before reading the guides. If your questions are not resolved in the FAQ, see the guides to find the information you want.

Q. What types of data are provided?
A. The following data is provided. (For detailed information about data provided, see Data.)

• Site data: site visit logs collected by NAVER Analytics and NAVER’s integrated search data
  • Site visit log: visit logs of website visitors
  • Incoming search keywords: numerical indicators of NAVER’s integrated search about incoming search keywords
  • Visitor keyword: numerical indicators for search keywords that website visitors searched for on NAVER during a certain time before/after inputting incoming search keywords
• Shopping data: product click data for search keywords entered on NAVER Shopping, which are aggregated and provided by product category, age, and gender

Q. Which period of data created will I receive?
A. Periods of data to provide are as follows.

• Site data: data from 30 days before request to a given end date
  • If the end date is set as Indefinite, new data are provided everyday until you delete the site or terminate the package
• Shopping data: data created 2 days before, from the next day of request to the date of request cancellation
  <Example> If you request the data on February 5, data created February 4 are provided on February 6.

Q. Where can I check data?
A. You can check data on Superset or the Object Storage bucket.

• Check in Superset: you can see data on the Superset dashboard provided by Data Analytics Service (see Superset)
• Check in the Object Storage bucket: go to Buckets > Add External Bucket of the S3 browser and enter a bucket name in the menu. Then, add the bucket and see data files. (To learn how to use the S3 browser, see Creating API authentication keys and connecting to Amazon S3)