image_1.pngCopyright©2024 Yonyou Group All Rights Reserved.Without the written permission of Yonyou Group, no part of this user manual may be copied, reproduced, translated, or reduced for any purpose. The content of this user manual may change without notice, please stay informed.Please note: The content of this user manual does not represent a commitment made by Yonyou Network.OverviewApplication OverviewIntelligent analysis is a cloud-native intelligent data analysis product based on an innovative middle-platform architecture. The product leverages data platform capabilities to empower enterprise data analysis and visualization, supports convenient integration with business systems, and provides self-service analysis and reporting capabilities. It allows users to perform personalized modeling in a visual design environment, enabling ad-hoc chart analysis and exploration based on a browser interface. With a scenario-based, immersive new experience, it assists enterprises in their digital intelligence transformation.The product provides efficient and user-friendly intelligent analysis services for business managers, enabling convenient data acquisition, governance, and rich visualization presentation. It helps users deeply explore data potential, quickly discover data value, agilely gain insights into operational status, and provide precise decision support.The product supports various chart visualization and personalized design features, with the capability to quickly build digital dashboards. It offers multi-data source management, including mainstream relational databases, domain business metadata, and file data. It supports out-of-the-box intelligent analysis construction, including data models, analysis cards, dashboards, free reports, data reporting, message pushing, report sharing, report subscriptions, and tenant permission management. It also supports rapid adaptation across multiple platforms, including mobile and web.Application ValueIntelligent analysis empowers digital enterprises.With the rapid development of the national economy in the context of informationization, enterprises have accumulated a large amount of data during their development process, which continues to grow exponentially. The business of enterprises is also changing according to demand. This has led enterprises to seek a transformation in data analysis needs, moving away from traditional discrete files and customized development methods of data analysis.Multi-source Heterogeneous Data Fusion Modeling for Intelligent Analysis and Decision-MakingInnovative multi-source heterogeneous data fusion modeling capabilities oriented towards enterprise digital intelligence analysis and decision-making, supporting the fusion of business metadata, relational databases, file data, etc. It supports model construction based on visual data modeling and SQL modeling, aiming for personalized data structures to achieve rapid fusion modeling.image_2.pngimage_3.pngConvenient and self-service personalized analysis service constructionBased on role-based views, provide the capability to build personalized analysis services. For enterprise users' personalized needs, offer administrators a convenient self-service environment for data source preparation and data model construction; provide business personnel with no-code business analysis design capabilities, supporting personalized analysis, interaction, and sharing.image_4.pngQuick and refined large screen customizationTo address the issues of long construction time and high costs for enterprise digital dashboards, intelligent analysis offers quick and precise customization capabilities for digital dashboards. It supports rapid customization and custom extension of components such as charts, text, tab pages, images, containers, filters, and GIS maps. It provides a rich set of style property settings, supports global page and dynamic local data refreshes in seconds, and allows for drag-and-drop operations.image_5.pngEasily Handle "Chinese-style Reports"Based on the innovative features provided by the free report, such as Excel-like design, nested headers, multi-source sharding, bidirectional expansion, multi-format support, report export, and self-printing, it effectively addresses the efficiency issues in creating "Chinese-style reports."image_6.pngApplication ScenariosApplication ClassificationData ModelThe data model provides users with business modeling capabilities based on data sources. In the data model, table models are used to build relationships, set join conditions, filter conditions, parameter filtering, and model data permissions, etc. Business subject models or wide tables are built to prepare data for reports and analysis.image_7.pngimage_8.pngData AnalysisData analysis provides users with analytical modeling and reporting modeling capabilities based on data models, data source tables, and business metadata models. In data analysis, it enables the creation and editing of chart visualizations, as well as interactions such as chart drilling, linking, and coordination; it allows for free editing and design of reports, supporting complex header nesting in Chinese-style reports such as master-detail tables and combination tables, in an Excel-like mode that aligns with user habits, and supports a rich set of formula functions.In browsing mode, users can easily filter and interact with analyses and reports, as well as query data.Export to Excel and PDF, supporting raw data export and WYSIWYG export.Support publishing to business domain nodes, facilitating application for domain users.image_9.pngFree ReportThe free report is a tool for users with a primary focus on business reporting needs. It allows the creation of grouped tables, cross tables, combination tables with complex header nesting, and free tables. It meets users' various demands for complex reports in the Chinese style. Reports are also generated based on business metadata, business models, and data models as data sources.image_10.pngData ReportingData reporting provides users with the ability to create and edit reporting templates, set reporting fields, configure cell formulas, data filtering, and selection criteria, etc. Additionally, objects can be published to the report center or business function nodes. For example, if a financial reporting form is created and edited, it can be published to the functional directory of the finance domain as a functional menu node within that domain.image_11.pngKey FeaturesRich Data Source IntegrationSupports connection to relational databases;Support connecting business metadata as a data source (YonBIP, NC Cloud);Support connecting file data (Excel/CSV);Supports data source-level data permission filtering.Visual Data Model ModelingSupport drag-and-drop to build table relationships in view mode and set association methods.Support building data models through SQL scripts;Support building data models based on stored procedures;Support data model parameters;Supports data filtering, allowing the use of system variables and permission tags for filtering.Support modifying field types;Support for adding calculated fields.Diverse Data Visualization AnalysisSupports 49 types of charts;Supports advanced maps, administrative division maps of different granularities, and GIS maps;Support for freely dragging and laying out chart objects on the page;Support setting data sorting for chart controls, TopN settings, and refresh frequency settings.Supports rich style settings for graphic and table controls;Support for indicator setting formatting, including setting prefixes, suffixes, scaling ratios, and thousand separators.Supports theme switching and custom color schemes;Support analysis parameters;Support for diverse and rich chart drilling, linkage, and connections.Support cross-model correlation analysis;Support filters (text, date, tile box, dropdown, tree dropdown, reference)Supports setting links that can be opened and pass parameters.Supports grouped tables and cross tables;Support for complex Chinese-style reports, master-detail tables, and combination tables.Supports exporting to Excel and PDF files (raw data export, WYSIWYG export);Support multi-page reports and multi-page analysis;Support dashboards and reports published to business function nodes.Easy Data ReportingSupport the integration of business metadata models as a source for reporting data;Supports a variety of reporting controls (dropdown, reference, tiled);Support for report submission filters;Supports rich cell formulas.Flexible Data LabelsSupport for custom tags;Support interface extension tags;Support tag rules;Support flexible setting of permission tag values for users.Convenient Scheduled Push and AlertsSupport for setting up push notifications and alerts for multiple dashboards and reports;Support flexible user range settings;Supports setting different frequencies and combinations of multiple frequencies;Support enabling and disabling tasks.Scenario CasePersonnel Status AnalysisAnalyzing personnel status can help enterprises understand staffing situations, assist managers in determining future human resource planning for various organizational levels, and understand the reasons and destinations of departing employees, as well as the composition of those leaving. It also focuses on analyzing issues that arise in various aspects of human resource management, aiming to achieve a certain level of risk prevention regarding employee turnover.Severe employee turnover has led to a labor shortage issue.How was the work status of employees before leaving, what is the personnel structure, why did they leave, and where did they go after leaving? This information is scattered across different modules in the human capital business system, lacking a complete analytical system for easy understanding.HR Human Resources Manager;HR Business Personnel.By analyzing the trend of the total number of personnel, it is possible to quickly identify whether there is an issue of employee turnover.By analyzing the business trips and overtime of departing employees, we can understand their work status during employment and assist in identifying the reasons for their departure.Analyze the education level, years of service, years in the company, age, job level, and other factors of the departing employees, making it clear which individuals have left.Assessing the potential turnover risk of current employees can prevent labor shortages and mitigate issues before they arise.Concentrate the key points of human resource management in a more systematic way, making it easier to identify and analyze problems.The Beijing branch has complained to the HR director that there are not enough staff recently. Is it true that there is really a shortage of personnel? The HR director needs to understand the current staffing situation. Let's first take a look at the total personnel analysis.image_12.pngFrom the trend analysis of the total number of personnel and budget situation, it is evident that from May 2019, the total number of personnel in the Beijing branch experienced a significant decline, with a month-on-month decrease of 15 people. The control rate was only 88.18%. Although there was an adjustment in the company's personnel budget compared to April 2019, with a reduction of 6 people, the number of resignations reached as high as 15, far exceeding the company's expected reduction. This indicates a high number of voluntary resignations, and the personnel turnover is beyond the planned scope, necessitating a further understanding of the specific situation of the resigning personnel. Clicking on the personnel total and budget trend analysis can link to the resignation personnel analysis model. The resignation personnel an...
