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Data middle platform

2024-09-09 10:17:40  173  0  Report

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This mind map explores the concept of a 'Data Middle Platform,' a system designed to provide public data services and address the challenges of rapid innovation in today's user-centric business landscape. As businesses strive to enhance user responsiveness, the data middle platform emerges as a crucial intermediary, bridging the gap between stable back-end systems and dynamic front-end demands. By integrating data governance, asset management, and unified services, this platform accelerates the transformation of data into business value, ensuring enterprises can swiftly adapt to market changes and continuously improve their competitive edge in the digital era.

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Outline/Content

What is Data middle platform, then?

A system providing public data services for business

In today's internet era, users are at the center of the business battlefield, and the competition in business is the competition for user responsiveness.

Because the corporate back-end is often unable to support the front-end in rapid innovation to meet user needs, the back-end mainly solves the problem of enterprise management efficiency, while the middle-tier needs to solve the problem of front-end innovation. In order to quickly respond to user needs, the power of platformization can achieve twice the result with half the effort.

Therefore, during the platformization process, enterprises need to build their own middle-tier platform (including data middle-tier, algorithm middle-tier, business middle-tier, and organizational middle-tier), connecting to the underlying resources and serving upstream together.

The original intention of the company's shift from departments to the middle-platform was to quickly respond to user needs, adapt to market changes, and create a set of industry data operation solutions. In addition to avoiding repetitive work, it can also accumulate past experience and effective knowledge to create a feedback loop.

The Evolution of Data Platforms

Data file Excel

The amount of corporate data is small, and Excel and other file tools are used for statistical analysis and manual analysis.

Data warehouse

Enterprises hope to quickly analyze a large amount of data, and thus the data warehouse is born.

Data platform

Large amounts of data, unstructured data, and real-time data response have given rise to big data platforms.

Data中台

Enterprises hope to build data-driven businesses themselves, promote data business services, that is, data business.

Comparison of the three

Definition

Data Warehouse

Theme-oriented, integrated, and historical data sets, used to support management decisions.

Big data platform

A set of infrastructure platforms mainly for handling scenarios such as massive data storage, computing, and real-time stream data computing.

Data中台

It is a global-level, reusable data asset center and data capability center, providing clean and intelligent data assets and advanced and easy-to-use data capabilities.

Main Abilities

Data Warehouse

Organized data with tables,Realized the construction of enterprise data model

Big Data Platform

Solved the problem of massive and real-time data storage, and realized the integration and control of multi-source heterogeneous data.

Data中台

More focus on business applications rather than platform technology, emphasizing data governance, asset management, and unified services

Applicability

Data Warehouse

More suitable for traditional database offline collection, the data is generally structured, the amount of data processed is generally within 100T, and it is generally used to meet internal decision support analysis requirements.

Big Data Platform

The business is becoming increasingly complex, the amount of data is growing larger and larger, the pressure of heterogeneous, real-time massive data computing and storage is increasing, and all data systems cannot handle the processing of larger amounts of data, resulting in a decline in data processing efficiency.

Data中台

Focus on solving the construction and storage of enterprise logical models, the establishment of data standards, the sorting out of data directories, the definition of data security, the opening of data assets, and the construction of knowledge graphs.

Business Support

Data Warehouse

Far from the business end, used to support management decisions, business value depends on many factors.

Big Data Platform

Closer to the business, real-time performance, big data, etc. are also for faster response to the business.

Data Platforms

Closest to business, accelerating the process of enterprises from data to business value

Service Mode

Data Warehouse

Provide relevant analysis reports or datasets

Big data platform

Provide related analysis reports, datasets, and some APIs.

Data middle platform

Data services via API or other sharing methods

Centralized Summary

User-centric continuous scaling innovation is the core goal of middle-platform construction. The business response capability and scaling innovation capability of enterprises are the core embodiment of the comprehensive competitiveness of Internet era enterprises. Platformization, including middle-platformization, is only a means to help enterprises achieve this goal, not the goal itself.

The construction of the中台 (whether it is a technical middle platform, business middle platform or organizational middle platform) is fundamentally aimed at solving the enterprise response force dilemma,

making up for the contradiction between the innovation-driven front-end that changes rapidly and the stable and reliable back-end that changes relatively slowly,

providing an intermediate layer to adapt the speed matching problem between the front-end and the back-end, precipitating capabilities,Open up and smoothly link front-end demands and back-end resources to help enterprises continuously improve user responsiveness.

In the final analysis, what the middle-platform is does not matter at all. What matters most is how to continuously improve the enterprise's responsiveness to users.

And platformization or middle-platform ization just happens to be on the right path.