Welcome to HENGSHI SENSE

HENGSHI SENSE is an agile, real-time, and collaborative big data visualization and analysis platform tailored for data-driven organizations. Building on the foundation of agile business intelligence tools, it incorporates advanced analytics, sharing, collaboration, and application publishing features, enabling business analysts to explore data flexibly and efficiently, and making data outcomes instantly accessible within the organization.

• Compatible with various mainstream data platforms, including databases/data warehouses, Hadoop-based data platforms, NoSQL/NewSQL databases, search data sources, cloud data sources, files, and SaaS APIs.
• Query scheduling engine based on Apache Spark, easily correlating queries across heterogeneous data sources, effectively handling rapidly growing datasets.
• H5-based data visualization support, enabling cross-screen display.
• Provides advanced analytical methods such as machine learning modeling based on R/Python.
• Offers collaboration and publishing mechanisms, supporting LDAP and OAuth.
• Rich secondary development interfaces to help partners quickly build data-related applications.

General Product Introduction

The following outlines the basic concepts of the product, which are integral to our entire product development and design, ultimately manifesting as product features. We hope that HENGSHI SENSE can become a handy tool for professionals in various fields to conduct business analysis, simple, stable, and easy to use.

Business Encapsulation - Application | App

In version 2.0, we encapsulated Dashboards | Dashboard and Datasets | Dataset into Applications | App, allowing users to focus more on the current business scenario during exploration, fully utilizing the features provided by datasets and dashboards.

At Your Fingertips - Dashboard | Dashboard

We treat Dashboards | Dashboard as the showroom for data analysis outcomes. Dashboards are ideal for sharing and snapshotting, directly reflecting the current state of a business. Each dashboard should have a clear theme, presenting a comprehensive view of a business from multiple angles.

Dashboards offer canvas adjustment functions, allowing free drag-and-drop layout. The exploration charts that make up the dashboard come from a dataset, with data exploration conducted visually. The final exploration results are one or more statistical charts, which can be easily embedded in the dashboard or shared directly with colleagues. Additionally, since data is visualized through direct connection, we can update the latest data status in real-time, presenting the current business state.

Within the HENGSHI development team, various automated assistance tools are widely used. The most convenient and direct tools gradually gain the support of the majority and become part of the daily workflow through frequent use. We tend to complete easy tasks, and if a tool is repeatedly used, the experience should be stress-free and friendly. We focus on expanding functions around a few key concepts (such as datasets, dashboards, charts), carefully eliminating steps and paths in use, making most experiences easily completed in one or two steps. When user needs are at their fingertips, the anxiety caused by tools in work can be significantly reduced, allowing users to focus more on business issues.

Data is Business - Dataset

We place all data connection management and quality improvement within the Dataset feature. To minimize repeated data movement and keep data in the most suitable storage medium, the Hengshi Analytics Platform establishes extensive adaptability to connect various data sources and reuse each data source's strengths in data processing during analysis.

Each data table (or file, or JSON structure) in a data source is uniformly represented as a Dataset in the Hengshi Analytics Platform. This forms the basis for data management and exploration.

The Hengshi Analytics Platform does not explicitly distinguish between technical and business departments; in fact, we welcome all roles within an organization to use it. Data is no longer just monotonous log records of system operation but the carrier and snapshot of business. In a sense, data is business. Understanding and exploring data is akin to organizing and gaining insights into the business itself. We hope that technical and business department personnel can work together around this tool, iteratively refining data interfaces, simplifying clear business processes, eliminating redundant intermediate steps, and returning to the business attributes of data.

Instant Presentation, Synchronization, and Communication - Collaboration and Sharing

We distribute the Collaboration and Sharing features as fundamental capabilities across key objects in this platform, such as exploratory charts, dashboards, or datasets, though the collaboration and sharing scenarios differ slightly.

When users use the sharing feature, they primarily aim to publish their data analysis work. Built on a web-based architecture, the Hengshi Analytics Platform naturally maintains interactive advantages for shared results and adapts to different devices.

User collaboration is more equal; multiple users can jointly have editing authority over a dataset or dashboard, exploring from different perspectives and sharing analysis results. This avoids the loss of passing a work project back and forth among colleagues.

We have incorporated elements like publishing comments, link sharing, and collaboration invitations into the product to enable multiple members within an organization focused on data business to communicate instantly while working independently. This allows recipients of business analysis to immediately respond with comments and feedback, making visualization results of data analysis instantly accessible within the organization. Efficiency optimizations in these high-frequency operations significantly enhance information flow efficiency within an organization. The longer users collaborate around this platform, the higher the data efficiency of the organization, leading to a virtuous cycle and eventually fostering a data-driven team.

Data Science

We provide data science capabilities that allow statistical experts to use appropriate languages for modeling, statistics, and machine learning on a big data scale. Through iPython-like Notebook technology, professional users can easily switch between code writing and result viewing states. Specifically, we support popular languages like Python and R for data work, and effortlessly leverage big data architecture to distribute commonly used model algorithms, achieving superior data processing performance compared to traditional statistical modeling.

We strive to lower the overall usage threshold of the product as much as possible, but still reserve a space for professionals to fully utilize their capabilities. This design meets the common needs of most people, allowing more people to collaborate around this tool, while also providing sufficient product depth, which is necessary for the full release of big data infrastructure capabilities.

More Related Information

If enterprise users wish to learn more, they can visit our official website and apply for a trial. https://www.hengshi.com