"Big data" has almost become the most fashionable vocabulary nowadays. It is no exaggeration to say that all walks of life today are full of yearning for big data, hoping to seize the opportunity in the new round of big data marketing. At the same time, data application technologies such as data mining, data analysis, and data security derived from big data have also become the focus of people's enthusiasm.
In the era of big data, problems that were difficult to make data decisions in the past become possible. When companies make marketing decisions, they increasingly need big data to provide the necessary support. It can be said that big data technology is based on people's need to process massive data in a short period of time. At the same time, the application of big data processing technology has promoted the rapid growth of data.
How important is data decision-making to business?
The importance of data in decision making is consistent and growing. It helps companies create new business opportunities, generate more revenue, predict future trends, optimize current operations and generate actionable insights. The digital world is in a state of constant change, and in order to adapt to the ever-changing environment around you, you must leverage data to make more informed and powerful data-driven business decisions.
What does an efficient
1. For the management: All-round data display helps the management to make decisions conveniently and accurately.
2. For the operation and maintenance department: provide its report maintenance tools to reduce the amount of development and improve the response speed.
3. Business department-oriented: Report changes do not require repeated manual processing, and can quickly respond to decision-making needs.
"Tongda Data Service Solution" was developed by Changchun Jijia Tongda Information Technology Co., Ltd. , which provides a business-oriented professional data analysis, display and interpretation platform for data demanders. Through the collection, cleaning, storage and big data analysis of industry data, the platform obtains data analysis results with reference significance and professional industry interpretation for data demanders to expand and use.
The program aims at the deep integration of digital technology and business, bridges the common professional gap between information technology personnel and business personnel, establishes high-quality data sets, professional business data analysis models, and visualizes the data processing process and data processing results. Business interpretation provides business personnel with convenient, flexible and complete data service solutions.
Solution advantage
Multiple ways of data collection
For the structured, semi-structured, and unstructured data generated by the actual business of various industries, the collection methods include comprehensive data collection methods such as web crawlers, electronic data batch import, ETL, human-computer interaction, and data engines.
Intelligent Data Analysis
Based on the analysis method of discovering knowledge from data using statistics, pattern recognition, machine learning, data abstraction and other data analysis tools, the platform assists users to have the correct data information at the right time and make correct decisions quickly.
Establishment of high-quality data sets
Combining industry standards to perform data cleaning such as data format conversion, removal of incompletes, deduplication, and synonym conversion; use custom methods to configure cleaning rules and processes; obtain high-quality data sets to ensure the integrity, authenticity, and scientific nature of data governance.
Comprehensive data asset analysis and monitoring
The platform provides multi-dimensional asset monitoring, which is displayed in the form of intuitive charts, text, and intelligent reports, which facilitates clear and comprehensive management of data assets.
Easy-to-operate data form design
The platform provides a full drag-and-drop data form design, users only need to simply drag and drop data processing components and configure parameters to complete complex development, "zero" coding, easy to operate, easy to read, and easy to maintain.
Innovatively proposed componentized drag-and-drop design
It is dedicated to the design of forms with a high degree of visualization, data analysis models and visual reports, and dynamically configures the required data analysis types and form styles according to business scenarios and scientific research needs.
Rich built-in data processing components
The platform provides a wealth of data processing and quality inspection analysis components, supporting various components such as SQL scripts, file storage, table migration, library migration, duplicate data inspection, logic inspection, and classification algorithms.
