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The HENGSHI SENSE Analytics Platform is an agile, real-time, collaborative, and big data visualization analytics platform tailored for data-driven organizations. It enriches the agile business intelligence tools with advanced features such as high-level analysis, sharing, collaboration, and application publishing, helping business analysts to flexibly and efficiently explore data and make analytical results instantly accessible within the organization.
The following briefly describes the fundamental concepts of the product. These concepts run through our entire product development and design and are ultimately reflected in the product's functional form. We hope the HENGSHI SENSE Analytics Platform can become the ideal tool for professionals in various fields to perform business analytics - simple, stable, and easy to get started.
In version 2.0, we have encapsulated both Dashboard | Dashboard and Dataset | Dataset into the Application | App, allowing users to focus more on the current business scenario during exploration and make full use of the functionalities of datasets and dashboards.
We regard the Dashboard | Dashboard as an exhibition room for data analysis outcomes. A dashboard is a very suitable object for sharing and snapshots, directly reflecting the current status of a particular business. Each dashboard should have a clear theme, representing a comprehensive perspective of a business from multiple angles.
The dashboard provides a canvas adjustment capability, allowing for free drag-and-drop layout. The various exploratory charts that make up a dashboard come from a particular dataset. Exploration of the data is conducted visually, and the final exploratory results are one or more statistical charts. These charts can be easily embedded into the dashboard or directly shared with colleagues. Additionally, since the data is visualized through a direct connection, we can always update with the latest data status, presenting the current business situation in real-time.
Within HENGSHI's development team, various automation tools have been heavily adopted. The most convenient and direct tools have gradually gained the support of the majority and become part of the daily workflow through frequent use. We always tend to complete tasks that are easily accomplished. If a tool is consistently used, then the user experience should be stress-free and friendly. We try to expand functionality around a few key concepts (such as datasets, dashboards, charts), carefully eliminating unnecessary steps and paths in usage, so that most user experiences can be easily completed in one or two steps. When the needs of users are easily accessible, the anxiety brought about by tools during work can be significantly reduced, allowing users to focus more on business problems.
We placed all data connection management and quality enhancement functions inside the Dataset | Dataset feature. To minimize the repeated movement of data and allow it to reside in the most suitable storage medium, HENGSHI SENSE Analytics Platform establishes the broadest compatibility to connect various data sources and make the most of each data source's best data handling methods during the analysis process.
For a data source, a data table (which could also be a file or a JSON data structure) is uniformly represented as a dataset in HENGSHI SENSE Analytics Platform. We use this as a basis to carry out management and exploration focused on data.
HENGSHI SENSE Analytics Platform does not explicitly distinguish between users from the technical department or the business department; in fact, we welcome all roles within an organization to use it together. Data is no longer just a monotone record of system operation; instead, it's the carrier and snapshot of business. In a sense, data is business. Understanding and exploring data is the same as sorting out and gaining insight into the business itself. We hope that personnel from both technical and business departments can work together around this tool, iterating on standardized data interfaces swiftly, simplifying clear business processes, eliminating redundant intermediaries, and returning to the business attributes of data.
We spread the functions of Collaboration and Sharing as fundamental capabilities across key objects in this platform, such as an exploratory chart, a dashboard, or a dataset, although the scenarios for collaboration and sharing differ slightly.
When users use the sharing function, they often wish to publish the results of data analysis. Since HENGSHI SENSE Analytics Platform is built on web characteristics, shared results naturally maintain the advantage of being interactive and can adapt to different receiving devices.
The collaboration of users is more equal. Multiple users can jointly own the editing rights to a dataset or dashboard, explore from different perspectives, and share the results. This avoids the loss that can occur when a work project is passed back and forth among stakeholders.
We have added elements such as publishing comments, link sharing, and collaboration invitations to the product, all aimed at allowing multiple members within the organization currently focused on data business to communicate instantaneously and barrier-free while working independently. This lets the recipients of business analysis provide immediate responses and feedback, making the visualization results of data analysis instantly accessible within the organization. In fact, efficiency optimizations on these high-frequency operations will significantly improve the flow of information within an organization. The longer users collaborate around this platform, the higher the data efficiency of the organization will be, achieving a virtuous cycle that ultimately fosters the formation of a data-driven team.
We offer Data Science functionalities for statistical experts to apply suitable languages for statistical modeling and machine learning on a big data scale. Using technologies similar to iPython Notebook, professional users can conveniently switch between code writing and result viewing. Notably, we support popular Python and R languages for data work and easily leverage the capacity of big data infrastructure to execute common model algorithms distributedly, achieving superior data processing performance compared to traditional statistical modeling.
We strive to lower the overall product threshold to the minimum, yet still reserve space for professionals to give full play to their abilities. Such design not only satisfies the common needs of most people, allowing more people to collaborate around this tool but also provides sufficient product depth. The capacity of big data infrastructure needs such an opening to fully unleash its potential.
If enterprise users wish to learn more, they can visit our official website and apply for a trial. https://www.hengshi.com
Currently, only Linux systems with gcc version above 4.6 are supported.