Shulou(Shulou.com)11/24 Report--

Recently, Shenze data released a new version 2.5 of Shenze Analysis, which takes business analysis as the theme, supports the integration of analysis models and external data, and builds a global data fusion model. and provide unified and convenient indicators and visualization capabilities to achieve full-link and full-scene analysis from user to business.

Business analysis can help enterprises to better understand the needs of users and build a business index system from users to operation, especially for enterprises that need to strengthen data fusion and index insight, and can better carry out multiple visual analysis. Provide strong support for their business development and decision-making.

If you are interested in the operational analytical capabilities of Shenze Analytics, you are welcome to search the official website of Shenze data or the official account of Wechat, and consult customer service to make an appointment for free to watch the live broadcast of product interpretation at 7 p.m. on September 12.

First, deep ploughing the industry to solve the pain point of "counting" of enterprises.

Data analysis system is often a bridge between data application and data production and production within an enterprise, but in fact, it often encounters obstacles in the process of multi-party use and docking.

1. Data is difficult to use

● analysis is not flexible enough: Kanban data is fixed, you need to find a data team to schedule when drilling down or association analysis, and block business decisions quickly.

The caliber of ● index is not uniform: the caliber of multi-role and multi-department index is inconsistent, and a lot of energy is spent on checking data among different roles.

The operation of ● is difficult: the use of the analysis system is complex, and it is difficult for non-professional users to use.

two。 Data maintenance is difficult

● data table management is difficult: business requirements change rapidly, hundreds of data Kanban, data tables are difficult to manage

● maintenance costs are high: historical data assets are constantly stacked with redundancy, resulting in a lot of waste of computing and storage resources, and high machine costs.

● permission security risk: support multi-department usage requirements at the same time. If data permissions can not be reasonably controlled, data security risks will be hidden, and excessive permission control will increase the cost of use.

Second, the magic strategy analysis 2.5, the five moves enable the enterprise user and the management analysis

In view of the pain points in the process of traditional data application, Shenze Analysis deepens the research and summarizes the ability of fine polishing products. In the new version, we upgrade the overall application breadth and closed-loop experience of the data application system from the aspects of data foundation, metrics, ease of use of analysis, visualization ability, authority isolation and so on, in the hope that in the practical application of customers, improve the efficiency of analysis and make business data play a greater value.

1. Access and Application of Business data

Version 2.5 of Shenze Analysis optimizes the process and mode of data import, better supports the application of business data import, analysis and visualization layer, and expands the breadth of support for enterprise data analysis and decision-making.

This version supports full-link and full-scene analysis from user to business, helps enterprises build global data fusion business scenarios, and realizes the demand for multi-dimensional analysis of people, goods, markets, and so on. Combined with transaction data, enterprises can gain insight into users' purchasing habits and preferences, as well as the trend of best-selling products, while the analysis of logistics data will help enterprises optimize the supply chain and improve logistics efficiency, thus helping enterprises to complete delivery more quickly. by analyzing the effects and returns of different marketing activities, enterprises can better evaluate the effectiveness of marketing strategies. The combined analysis of user survey and feedback data provides enterprises with the opportunity to understand users' expectations and needs, and helps products to continue to optimize and upgrade.

Flexible data access capability

Through the flexible data access capability, enterprises can access non-user behavior data and easily complete the data tables of external data sources such as Hive, MySQL, Oracle and so on. At the same time, Shenze also provides the creation of complete data tables and writing to API, so that enterprise developers can complete the whole data access process programmatically.

In addition, in order to better connect the enterprise data lake, Shenze also supports mapping Iceberg-type data tables directly into the system, which can complete data access without import, saving hardware resources and ensuring the consistency of data and source. The consulting experts of Shenze will give the best data access solution according to the business needs of the enterprise.

Efficient relational modeling capability

In the application of imported non-user behavior data, in addition to supporting the traditional SQL analysis method, Shenze Strategy Analysis version 2.5 provides a more easy-to-use and efficient relationship modeling function, which supports user behavior tables, business data tables, and association analysis among multiple tables by dragging and dropping the interface.

In the application of the index platform, without relying on the warehouse engineer, we can directly link and import the business table and the user behavior table in the system through the click operation of the visual interface, and establish the relationship between the main and foreign keys. After integrating the information of different data sources, such as end-to-end behavior data, business transaction data, advertising data and so on, a more comprehensive analysis dimension can be obtained.

In addition, in visual applications, users are also supported to carry out stitching and processing definitions between multiple business model tables by drag-and-drop, and quickly generate effect data based on various data sources and indicators in specific business scenarios.

For more information on the capabilities of data access technology, you can read "the Evolution of the Architecture of the New Generation Analysis engine".

two。 Management and Application of Enterprise Index system

With the widespread application of the concept of data-driven business, users of different roles have more explicit demands for the use of indicators, coupled with the gradual expansion of the scope of use of data tools among different roles, which makes index formulas scattered in various tools and buried in various hidden dashboards, resulting in a lack of supervision and guidance in the creation and use of indicators. The ambiguity of index caliber and the abuse of indicators have gradually become a prominent problem in many enterprises.

As data scientist Benn Stancil said in his article "the missing Link in the Modern data Stack": "the core problem is the lack of a centralized repository to define and manage indicators."

Shenze Strategy Analysis version 2.5 provides a new index platform and provides enterprises with simple and powerful index management and analysis tools. Users can easily define indicators and dimensions and eliminate the uncertainty in the analysis process.

Unified Management of Index system

The index platform provides the definition and management ability of the index, which ensures that the index has a clear caliber definition from the beginning of production, and each index name corresponds to a unique deterministic data caliber. The strategy not only supports the direct definition of indicators for commonly used analytical models, but also supports the definition of indicators based on the business import table.

In addition, in order to better support the multi-business and multi-role organizational structure of enterprises, version 2.5 of Shenze Analysis provides the management capabilities of index groups and business groups, and connects the relevant management and access control. The efficiency of collaborative cooperation between business and organizations is improved.

Index analysis

In addition to supporting the definition and management of user behavior metrics and datasheet metrics, the indicator platform module of Shenze Analysis also provides the analysis capability of metrics to support indicators in actual business scenarios. Real-time drill-down analysis and application with different business dimensions.

This integrated platform design of definition and application avoids the situation that the index system can not be used internally due to the fault of application in enterprises. Index analysis can generate analysis results based on unified indicators and dimensions. Users only need to click on the required dimensions, indicators and filter conditions to complete the analysis, instead of having to face complex operations such as complicated metadata conditions. Help users get started easily.

Multi-agent cross analysis

In addition to supporting the quick start of common business analysis scenarios, Shenze also supports the use of indicator analysis to explore data in some complex scenarios. Relying on the ability of business data import and association modeling, users can select indicators and dimensions with correlation in index analysis for complex cross-analysis.

For example, through the import of inventory table and order table, commodity information can be associated with users and orders, and then inventory marking and order analysis can be carried out at the same time in the system. as well as different types of sources of customers' preferences for goods and order habits and other related analysis.

3. Unified business application management

With the rapid development of business and the gradual deepening of digital transformation, data assets within the enterprise are gradually expanding, and various types of data sources emerge in endlessly. Higher and higher requirements are put forward for data governance, quality management, query performance and data traceability. At the same time, in the face of complex business links, vertical business data and customized result data production are gradually unable to keep up with business changes.

Shenze Analysis version 2.5 provides an application module for business integration management, which enables enterprises to customize and package business models that meet the needs of enterprise business analysis and data statistics on the basis of complex and non-scene analysis models. it covers the general ability of user behavior analysis and business analysis, runs through the full-link data, and improves the depth and breadth of downstream application data assets. Satisfy the application scenario of the business to the maximum extent.

In addition, the resource management capabilities of the business layer can systematically help enterprises to understand business resources and the use of data they rely on from a global perspective, and provide the ability to diagnose resources and optimize related products. Provide data insight and action guidance for enterprises to reduce costs and increase efficiency.

4. Visualization ability to subscribe, drill down, monitor and early warning

In the new visualization module, Shenze upgraded the complete subscription management and corresponding early warning capabilities to support enterprises to configure a variety of subscription tasks according to different data charts, as well as management capabilities, to grasp data movements in an all-round way and to ensure the security of the use of key data. at the same time, with the multi-channel push capability of webhook, the enterprise-level dissemination of data is realized.

It is worth mentioning that while supporting offline analysis and Ad-Hoc queries, Shenze Analysis engine can also start streaming aggregate queries from any point in time of historical data. Through this part of the ability, enterprises can achieve second-time high-frequency query to better meet the needs of real-time monitoring.

In addition, the monitoring and access of abnormal data is only the first step of business decision-making, and the subsequent attribution of abnormal causes and the execution of business actions are the key. Through the close linkage with the analysis model, Shenze Analysis version 2.5 supports flexible and real-time drilling down, and explores different dimensions of attribution units, abnormal factors and other data. Moreover, the drilling and probing of the underlying data can also reduce the pressure of data services and interpretation costs within the enterprise.

5. More flexible access control

The upgrade of the authority system is also one of the key points of this magic policy analysis upgrade.

In the index definition, business model management, and visualization application, Shenze supports multi-space and multi-level business group management, which is convenient for the division of labor and cooperation among various departments and roles of the enterprise. You can not only manage and maintain data assets together, but also assign appropriate rights to data resources as needed. For example, through the management of public space and directories, you can delegate corresponding management capabilities by department or role, control critical paths, and improve the efficiency of data management.

In addition, with regard to the fine permission control of data, Shenze achieves data rights management at the data row and row level for the data scope of each business model, and when distributing the permissions of data resources, it is more convenient to view and manage the usage of data.

In the process of authority allocation, one-click dynamic allocation is completed by associating the account attribute with the internal field of the enterprise. for example, if the "place of ownership" attribute of the account is "Beijing", you can only see several lines of data in which the "sales city" field is equal to "Beijing". Through the management of the whole set of resource permissions, you can really achieve the "thousands of people" of data distribution.

Third, actual combat in the case scene

When doing the business analysis of a B2B e-commerce enterprise, the analysis object is not only limited to the purchasing small B enterprises, but also includes the internal team and sales individuals, and puts forward the compound analysis demand of ToB & ToC. In the process of working with Shenze data, business managers put forward two requirements for operational Kanban based on the above background:

First, in the data direction, enterprises hope to take the salesperson as the dimension to observe the full-link performance index data, including → inquiry → payment → shipments and so on.

Second, in terms of authority, the enterprise hopes that only the department head can see the shipping gross margin field, the team leader can see the data of all the people in the team, and the team members can view the data related to them.

With the blessing of the business analysis ability of Shenze Analysis version 2.5, the enterprise's expectations in Kanban authority control and visual display have been well met.

First of all, reduce the difficulty of fetching numbers. Because the data of capital retention, inquiry, payment and shipment are distributed in different business tables, if the enterprise wants to achieve it on its own, it needs to write a SQL linked table query. Through the visual tabulation ability of magic policy analysis, the cost can be reduced, and the goal can be achieved even if the user does not know how to SQL.

Secondly, improve the integrity of counting. Previously, the enterprise's behavior data was in the Shenze system, while the business data was in the business database. If you want to gain insight into the conversion rate from behavior to revenue, the enterprise must view it from the guide tables of the two data platforms. And this need is perfectly solved by the analysis of the god policy.

In addition, the efficiency of data configuration is improved. The enterprise wants different levels of employees to have different permissions for viewable data. If the data platform used does not have a strong permission control ability, it needs to be allocated separately for each permission role within the enterprise. After the Shenze system is configured with permissions, the supporting role of internal data only needs to pull out a wide table containing all the performance indicators, then different roles can see data in different ranges, which is very simple and efficient.

If you are interested in the operational analytical capabilities of Shenze Analytics, you are welcome to search the official website of Shenze data or the official account of Wechat, and consult customer service to make an appointment for free to watch the live broadcast of product interpretation at 7 p.m. on September 12.

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