What is Sensors Analysis

Sensors Analysis Help Center

Exported on 2024-04-25 11:31:42

Table of Contents

1 Introduction to Sensors Analysis 4

2 Product advantages of Sensor Analysis 5

2.1 Private deployment 5

2.2 Basic data collection and modeling 5

2.3 Real-time and flexible multi-dimensional analysis capabilities 5

2.4 Provide PaaS platform for deep development 5

3 Sensors analyzes and solves the pain points of enterprises 6

3.1 Business pain points 6

3.2 Technical pain points 6

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 Sensor Analysis Introduction

Sensor Analysis is a deep user behavior analysis product launched for enterprise customers, supporting private deployment, full-end collection and modeling of client, server, business data, and third-party data, driving marketing channel effect evaluation, user refined operation improvement, product function and user experience optimization, boss dashboard to assist management decision-making, product personalized recommendation transformation, user tag system construction and other application scenarios. As a PaaS platform, it supports secondary development and can build a user data system through internal IT systems such as BI, big data platform, CRM, ERP, etc., so that user behavior data can play a far-reaching value.

Product advantages of Sensors Analysis

Private deployment available

Eliminate customer concerns about data storage security: At the beginning of the decision to select Sensors Analytics technology, considering that customers have concerns about data security and privacy, and that customers need to accumulate their own user behavior data assets, and conduct in-depth application and secondary development of data functions, we set private deployment as the core design concept of Sensors Data's products.

Basic data collection and modeling

Connect data from different sources for the same user: With the development of the Internet, the behavior data of a user on the same product needs to be collected from multiple different sources. These sources include iOS, Android, Web, H5, mini programs, business data, historical data, third-party data, etc. In response to customers' full-end data collection and the need to connect data from different sources for the same user, Sensors Data provides methods such as code embedding, full embedding, and import tools to connect data to Sensors Analytics. At the same time, in order to solve the problem of connecting users across multiple channels, Sensors Data also provides a user ID-Mapping solution.

Real-time and flexible multi-dimensional analysis capabilities

Provide full-featured multi-dimensional analysis capabilities to analyze user behavior: dimensions and indicators do not need to be predefined, and funnel analysis, retention analysis, and distribution analysis can all be drilled down in any dimension. Sensors Analysis not only stores the most granular user behavior details, but also supports private deployment, provides API interfaces, and supports secondary development. Data analysis is a large field, and Sensors Data mainly meets customers' needs for user behavior analysis in a specific field. Sensors Data promises not to touch customer data, help companies use their internal data for analysis, and focus on user behavior analysis related to corporate business data.

Provide PaaS platform for deep development

Support secondary development using underlying interfaces and functions: Privatization does not mean customization, and Sensors Data can provide standard codes for standard requirements. If a customer only has a standard data analysis requirement, then you do not need to make any decisions and can directly use Sensors Analysis. If you have personalized needs for data analysis, you can use the underlying data interface of Sensors Analysis or conduct secondary development of product functions.

 Senses Analysis solves the pain points of enterprises

Business pain points

• Marketing analysis gap: Marketing costs remain high, and there is a gap in tracking the effect of new users, which makes it impossible to track the actual conversion rate of each channel and difficult to accurately analyze ROI. Sensors provides channel tracking functions to track the channel sources of new users and use data to intuitively evaluate the channel's ability to attract new users. At the same time, it can analyze registration conversion and payment conversion, measure the channel's new user effect end-to-end, and continuously adjust the channel influence strategy. Sensors also provides market personnel with full-site tracking of user behavior, optimizes the browsing experience and content interaction within the site, and improves the conversion rate of registration leads.
• Product iteration cannot be quantified: The lack of real-time user behavior analysis capabilities makes it impossible to quantify the effect of product function revisions. The core process optimization points are more based on guesswork, and the positioning of bug problems is realized after the fact, causing long-term losses. Sensors provides funnel analysis to help companies improve user conversion on products, monitor the core conversion processes of companies (such as payment, registration, account opening, etc.), and gain insights into churn problems. At the same time, Sensors provides retention analysis to help companies improve user retention, use data to verify the most popular product features for users, provide user behavior path analysis, reasonably distribute site traffic, fine-tune product layout and interaction, and improve user experience.
• Inaccurate user operation: The "one size fits all" full-user marketing makes it difficult to control input and output, and inaccurate and rough methods are difficult to truly improve the long-term activity of existing users. Sensors helps companies lock in user groups with similar characteristics, and push marketing content that "caters to their needs" in a targeted manner to improve the stickiness of different user groups. For user groups that have not logged in for a long time and are about to churn, timely push messages and coupon recalls to save them. At the same time, Sensors establishes a user tag system and user portraits, combines user behavior with operational data for cross-analysis, and gains insights into the characteristics of core users and outlines accurate user portraits.
• Global operational indicator monitoring is not real-time: There is an operational BI system, but the operational indicator monitoring is not timely, and the core indicator warning mechanism has not been formed, resulting in delayed decision-making. Sensors provides managers with real-time, cross-departmental, and business-line core indicators. The manager's mailbox can receive subscribed reports automatically and regularly, and provide customized indicator warning capabilities to help each business department monitor core indicator changes in real time, quickly detect and analyze sudden changes, and truly realize real-time data-driven business decisions.

Technical Pain Points

• High cost of self-built platforms: It costs a lot to build a new product data platform from "0" to "1" within the enterprise and require it to be launched quickly. With the support of the Sensors service team, even if the enterprise does not have a complete data team, it can quickly complete the storage of user target behavior data, realize full-end data access to Sensors analysis, and complete the construction of the enterprise data analysis platform.
• Low efficiency in daily cooperation: Business analysts need to submit requirements to data engineers for the data needed for special research, and enter a cycle of requirement description, requirement evaluation, iteration scheduling, and requirement correction. Sensors Analytics can help enterprise business analysts quickly get started with the product. Without the support of data engineers, they can view important daily data indicators through the data overview of Sensors Analytics; at the same time, through Sensors Analytics' 9 big data analysis models, users can view customized indicators, cross-analyze any dimension, drill down and roll up data, locate abnormal data indicators, set abnormal value warning reminders, and send abnormal indicator warning emails to designated mailboxes.
• Complicated ETL work: Data engineers need to handle daily ETL work for various complex data. Enterprises do not need to worry about the complexity of various types of data and where to start. Sensors Data's ETL engineers will assist in the whole process. Even if the enterprise has massive historical data, it is easy to import Sensors Analytics.
• Repeated development of common needs: For common needs such as traffic and click data collection, R&D engineers need to redevelop for specific businesses every time, resulting in a lot of repetitive development work. Enterprises can collect browsing or clicking behaviors of all pages at one time through Sensors Analytics's full embedding points, without the need for R&D engineers to repeat development. Sensors Analytics' integrated SDK supports one-click activation, automatic collection of behavioral events such as startup, exit, page browsing, and control clicks, and data such as PV, UV, and new users can be easily obtained.