A certain group currently has nearly 100 systems, and the data is scattered in each system, and the business scope is extensive, and the data sources are complex. With the construction and promotion of the group business system, the data quality is not high, the data standards are different, and the data is difficult to communicate and share. Problems such as integration and data barriers between systems gradually emerged, restricting the Group's business development and level improvement.
In the process of digital and intelligent application construction, the following pain points are mainly encountered:
♦ Difficulty in cross-business and cross-system data integration of enterprise management and
control
; Difficult to apply.
Solution ideas
Merrill Lynch Data focuses on the group's digital transformation strategy, and relies on the industry's advanced theories and its own accumulation of achievements in the industry for many years, and proposes a data governance solution with the data center as the core. By building a modern data management system for the group company, to solve the current problems.
▶ With the core of building a data middle platform, through vertical connection and horizontal integration, the intercommunication of the whole data link is realized, and the data sharing ability is improved; ▶ Aiming at the development of the data middle platform
service business, quickly respond to business needs and support business innovation;
▶ Taking rapid application and effective measures as a measure, overall planning, parallel implementation, and iterative optimization to ensure the actual construction effect;
▶ Based on the principle of managing business and security, build a data security protection system to ensure that data security is compliant and controllable; ▶
Operate with continuous data management As a fundamental, cultivate a professional data management talent team of the group company to ensure the long-term and healthy operation of data management.
Plan landing
After formulating a complete solution idea, Merrill Lynch started with three steps to make the plan successfully land.
Step 1: Top-level design, formulate a standard data management system
Before the plan is implemented, Merrill Lynch Data first evaluates the maturity of the group's internal data management capabilities, so as to establish the main tasks of data governance at the current stage. With the assistance of Merrill Lynch, the group established a data management system, a data management process system, a core control indicator system, an organization-level unified data model, a data resource pool, and a data accountability mechanism, and released a group-level data strategy and data management approach . Through the establishment of a series of standards, data management has rules to follow, and data can be "knowledgeable and shared", while improving the quality of underlying data and reducing the cost of upper-level data error correction.
Step 2: Data governance, to improve data quality
(1) Sort out the data resource catalog
Sort out the business activities of the first-level business subject domain and each business subject domain of the group company, form a group-level business data asset catalog, and complete more than ten subject domains , nearly 2,000 tables, and nearly 5W fields of data are cleaned and returned to the warehouse, and the data resource catalog is released on the data center.
(2) Data quality rectification Monitor
and analyze the data resources of the group company, carry out normalized data quality monitoring and analysis around data access, cleaning, service and application, identify data quality problems, form data quality analysis reports, and support The group company carried out rectification of data quality problems.
The third step: landing application, focusing on actual business scenarios
(1) Build an indicator management system and implement it.
Based on the group's business strategic development plan, build an enterprise-level strategic indicator system to support the monitoring of the enterprise's strategy implementation process and promote the achievement of strategic goals; establish The group indicator database provides a rich source of indicator data to support business management and business decision-making, and reduces the waste of resources caused by multiple combing and repeated construction of indicator data.
(2) Building a data reporting system
In the past, the group mainly relied on manual data entry for a large number of reports, resulting in heavy workload and high labor costs. Under the solution of Merrill Lynch Data, the group has formed a new model supported by middle-end data and reporting tools as a means, which can realize the automatic filling of report data, reduce the workload of manual entry of grassroots personnel, and realize the efficiency of report filling. Reduce burden and increase efficiency.
(3) Build a large visual screen
Build a visual analysis scene with the theme of business applications, and view changes in important data such as sales, production, inventory, and shipments in real time to provide a basis for business decisions.
Enterprise production and operation panorama large screen
Solution results
(1) Realize centralized management of data resources,
establish a group-level data resource pool, access business system data, and divide data into more than ten business subject domains and nearly 200 business activities according to business attributes, Through the establishment of a data portal, a unified data resource entrance for the group has been formed, which solves the problems of difficult data search and scattered data.
(2) Establish a data management and standard system
Establish the specific tasks and implementation routes of the group's digital transformation, clarify the responsibilities and personnel of the data management organization, promulgate data management methods and group-level data standards, and lay a good foundation for the digital transformation of enterprises.
(3) Guarantee efficient cross-departmental collaboration
Based on the data middle platform, realize the sharing of the data resource catalog of the whole group, reduce or eliminate multiple data entry and decentralized management, and realize efficient data sharing across departments and businesses. At the same time, the data is classified and managed at different levels to ensure the safety of data use.
(4) Enabling business operation
to build a series of application scenarios such as integrated analysis of business line production, storage, transportation, and sales; comprehensive and multi-dimensional analysis of personnel; full-life management analysis of equipment from procurement, use, maintenance to scrapping, etc., to support Enterprise management and business decision-making provide empowerment for enterprises to reduce costs and increase efficiency.
Picture
Merrill Lynch Data's data middle platform solution highly integrates data governance tools with enterprise business, realizes the integration of business and data, so that technology can empower business and provide support and assistance for the efficient operation of business. In practical applications, the data center is also one of the important means for many companies to do digital transformation, so how to judge whether the enterprise's data center is doing well, and whether it has the ability to promote enterprise transformation?
Welcome to the wonderful live broadcast on June 29 (next Thursday). The senior product manager of Merrill Lynch Data will start with the "Enterprise Data Center" construction capability map and explain the blueprint for the construction of Data Center for you! Follow [Merrill Lynch Data Tempodata] public account to learn more