Statement of Work (SOW)

Overview

The big data optimization and improvement service incorporates Huawei's wealth of theoretical knowledge and practical experience, and introduces digital technologies to help enterprises plan and build a data governance system and platform. This service offers big data development technical support, big data cluster tuning, data management maturity diagnosis, data management system design, data security specifications diagnosis and design, master data management system diagnosis and design, and data management optimization.

Service Content

1. Big Data Development Technical Support

   L6 Service Name	Service Content	Application Scenario
   Big Data Development Technical Support–Small Scale	The development support service helps customers resolve any technical issues experienced during interconnection with the big data platform. Huawei provides guidance in API calling, component selection, and key parameter configuration.	Starter: fewer than 480 CPUs
   Big Data Development Technical Support–Medium Scale		Medium: 480–1,000 CPUs
   Big Data Development Technical Support–Large Scale		Advanced: more than 1,000 CPUs

2. Big Data Cluster Tuning

   L6 Service Name	Service Content	Application Scenario
   Big Data Cluster Tuning-Basic Package (No More Than 50 Tasks)	This service provides configuration and performance tuning to improve the performance of MRS or DLI clusters on Huawei Cloud and maximize resource utilization.	Basic package for cluster tuning
   Big Data Cluster Tuning–Incremental Unit Price (per Task)		Incremental package for cluster tuning

3. Data Management Maturity Diagnosis

   L6 Service Name	Service Content	Application Scenario
   Specifications-Level Data Management Maturity Diagnosis	This service analyzes your enterprise's business characteristics, helps you learn your data status, and identifies major problems and core data governance requirements through material collection, surveys, interviews, discussions, analyses, and reports. Through impact analysis, evaluation method enablement, improvement suggestions, and best practices in the industry, this service helps you build an agile and efficient information system that lowers costs, improves efficiency, and helps you achieve digital transformation.	Standard online questionnaires, onsite personalized supplementary surveys, and problem diagnosis
   Integration-Level Data Management Maturity Diagnosis		Extra upgrade and optimization suggestions
   Convergence-Level Data Management Maturity Diagnosis		Extra personalized in-depth diagnosis

4. Data Management System Design

   L6 Service Name	Service Content	Application Scenario
   Specifications-Level Data Management System Design	This service helps you build data management organizations, systems, processes, standards, and specifications that are equivalent to those of industry-leading companies. With this service, you can formulate a development blueprint and an improvement roadmap for managing your enterprise data, laying a foundation for unleashing greater data value. This service generates a planning report for data management maturity.	Standard online questionnaires, onsite personalized supplementary surveys, and solution design
   Convergence-Level Data Management System Design		Standardized online questionnaires, onsite personalized supplementary surveys, and solution design focusing on in-depth analysis, transformation, and management suggestions for domains

5. Master Data Management System Diagnosis and Design

   L6 Service Name	Service Content	Application Scenario
   Specifications-Level Master Data Management Diagnosis	This service complies with the master data management white paper of the countries/regions where it is available. It surveys the master data status of your enterprise.	Standard online questionnaires, onsite personalized supplementary surveys, and problem diagnosis
   Specifications-Level Data Management System Design	A master data standard system, an assurance system, and management tools are designed, and a master data management document is generated to effectively transfer data across systems and departments.	Standard online questionnaires, onsite personalized supplementary surveys, and solution design
   Convergence-Level Data Management System Design		Solution design, focusing on in-depth analysis, transformation, and management suggestions for domains

6. Data Security Specifications Diagnosis and Design

   L6 Service Name	L6 Service Name	Application Scenario
   Specifications-Level Data Security Specifications Diagnosis	Specifications-Level Data Security Specifications Diagnosis	Standard online questionnaires, onsite personalized supplementary surveys, and problem diagnosis
   Specifications-Level Data Security Specifications Design	Specifications-Level Data Security Specifications Design Convergence-Level Data Security Specifications Design	Standard online questionnaires, onsite personalized supplementary surveys, and solution design
   Convergence-Level Data Security Specifications Design		Standardized online questionnaires, onsite personalized supplementary surveys, and solution design focusing on in-depth analysis, transformation, and management suggestions for domains

7. Data Management Optimization

   L6 Service Name	Service Content	Application Scenario
   Data Management Optimization–Senior Expert	This service gives you access to data management improvement professionals who can help you use the preceding big data optimization and improvement services to better manage your data.	Onsite personalized supplementary surveys and solution design
   Data Management Optimization–Senior Consultant
   Data Management Optimization–Advanced Consulting Expert

Prerequisites

• Customers should apply for professional services two weeks in advance, so that Huawei Cloud can evaluate their business objectives and service schedule.
• Before providing professional services for customers, Huawei Cloud must obtain customers' authorization for site survey, personnel cooperation, and material input.

Service Scope

1. Applicable Scope

   After a customer subscribes to the big data technical support and tuning service, Huawei will assign engineers to provide development support for Huawei products purchased by the customer at the customer's specified workplace. The engineers are familiar with the customer's internal processes, requirements, and big data platform. They focus on the development, performance tuning, and Q&A of Huawei Cloud big data products, helping customers improve their big data development capabilities and ensure stable system running.

   The big data optimization and improvement service consists of two professional services.

   • The first is the data governance professional service, which provides data management maturity diagnosis, data management system design, master data management system diagnosis and design, data security specifications diagnosis and design, and data management optimization.
   • The second is the big data development support and tuning professional service, which provides big data development support and big data cluster tuning. Solutions are provided to customers based on their requirements. The service content mainly includes data management maturity diagnosis, data management system design, master data management system diagnosis and design, and data security specifications diagnosis and design. Data management maturity diagnosis uses the DCMM model in coupled with Huawei's practices and allows you to diagnose the data management maturity by level and output a maturity diagnosis report to learn your data status and resolve your data issues. Data management system design allows you to survey the data management organizations, systems, and processes, and output a standard design guide to ensure effective management of data throughout their lifecycle. Master data management system diagnosis and design complies with the master data management white paper in the countries/regions where this service is available. It allows you to survey your master data status, design a master data standard system, an assurance system, and management tools, and produce a master data management guide for effective data transfer across systems and departments. Data security specifications diagnosis and design complies with the data security laws of the countries/regions where it is available. It surveys the data security status of your enterprise and helps you design cyber security specifications, data security management, and important information protection, and formulate data security specifications for your enterprise.
2. Inapplicable Scope

   Huawei development support engineers only provide the services specified in this document. Other services incur additional fees. Other services include but are not limited to the following:

   • Going to other cities for related work (Note: Fees may include, but are not limited to, traveling, accommodation, and additional communication fees.)
   • Working beyond normal working days and working hours as required by customers (Note: Fees include overtime pay and subsidies.)
   • Purchasing products from other companies or individuals

Service Process

Data governance professional services are classified into five types based on the service content: specifications-level diagnosis, integration-level diagnosis, convergence-level diagnosis, specifications-level design, and convergence-level design. The detailed process and content for each service is as follows:

• Specifications-level diagnosis.

  Process	Task
  Project initiation	Set up a project team.
  	Present the project content to the customer.
  	Formulate the project survey plan based on project requirements.
  As-is diagnosis and evaluation	Complete the basic survey.
  	Diagnose the customer's business data and system data.
  	Evaluate the customer's data management maturity using the DCMM.
  	Output the data management maturity diagnosis report.
  Project acceptance	The customer accepts the project.

• Integration-level diagnosis

  Process	Task
  Project initiation	Set up a project team.
  	Present the project content to the customer.
  	Formulate the project survey plan based on project requirements.
  As-is diagnosis and evaluation	Complete the basic survey and output the meeting minutes.
  	Analyze the survey result and diagnose the customer's business data and system data.
  	Evaluate the customer's data management maturity using the DCMM.
  	Output the data management maturity diagnosis report.
  Project acceptance	The customer accepts the project.

• Convergence-level diagnosis

  Process	Task
  Project initiation	Set up a project team.
  	Present the project content to the customer.
  	Formulate the project survey plan based on project requirements.
  As-is diagnosis and evaluation	Complete the basic survey and output the meeting minutes.
  	Analyze the survey result to obtain customer requirements and diagnose the customer's business data and system data.
  	Evaluate the customer's data management maturity using the DCMM.
  	Provide reasonable suggestions based on the evaluation result and the customer's business.
  	Output the data management maturity diagnosis report.
  Project acceptance	The customer accepts the project.

• Specifications-level design

  Process	Task
  Project initiation	Set up a project team.
  	Present the project content to the customer.
  	Formulate the project survey plan based on project requirements.
  Solution design	Complete the basic survey and output the meeting minutes.
  	Analyze the survey result, diagnose the customer's business data and system data, design the solution framework, and output the solution design.
  Project acceptance	The customer accepts the project.

• Convergence-level design

  Process	Task
  Project initiation	Set up a project team.
  	Present the project content to the customer.
  	Formulate the project survey plan based on project requirements.
  Survey	Complete the basic survey and output the meeting minutes.
  	Analyze the survey result to obtain customer requirements and diagnose the customer's business data and system data.
  	Evaluate and score the diagnosis result based on methodologies and industry standards.
  	Provide reasonable suggestions based on the survey and evaluation results and the customer's business status.
  Solution design	Plan and design a solution based on based on the survey result and requirement analysis.
  Project acceptance	The customer accepts the project.

Service Deliverables

1. Big Data Development Support and Tuning

   No.	Activity	Deliverable
   1	Implementation solution planning and design	xx Big Data Development Support and Tuning Report
   2	Delivery implementation
   3	Acceptance test

2. Data Management Maturity Diagnosis

   No.	Level	Activity	Deliverable
   1	Specifications	Survey	xx Data Management Maturity Diagnosis Report
   2		Diagnosis report
   3	Integration	Survey
   4		Diagnosis report
   5	Convergence	Survey
   6		Diagnosis report

3. Data Management System Design

   No.	Level	Activity	Deliverable
   1	Specifications	Data management organization architecture design	xx Data Management System Design Report
   2		Data management system framework design
   3		Data management process framework design
   4		Design plan report
   5	Convergence	Data management organization planning and design
   6		Data management system planning and design
   7		Data management process planning and design
   8		Data management platform planning and design
   9		Appraisal mechanism design
   10		Design plan report

4. Master Data Management System Diagnosis and Design

   No.	Level	Activity	Deliverable
   1	Specifications-level diagnosis	Master data survey	xx Master Data Management System Diagnosis Report
   2		Master data diagnosis
   3	Specifications-level design	Master data management system design	xx Master Data Management System Design Report
   4	Convergence-level design	Master data survey
   5		Master data requirement analysis
   6		Master data diagnosis plan design
   7		Master data management system design

5. Data Security Specifications Diagnosis and Design

   No.	Level	Activity	Deliverable
   1	Specifications-level diagnosis	Data security specifications survey	XX Data Security Specifications Diagnosis Report
   2		Data security specifications diagnosis
   3	Specifications-level design	Data security specifications design	XX Data Security Design Report
   4	Convergence-level design	Data security specifications survey
   5		Data security requirement analysis
   6		Data security diagnosis plan design
   7		Data security specifications design

Responsibility Matrix

1. Shared Responsibilities
   • Negotiate and confirm specific requirements and objectives.
   • Negotiate and confirm project management plans.
   • Negotiate, confirm, and review solutions.
   • Sign a contract.
2. Huawei Responsibilities
   • Huawei specifies a project owner. If Huawei personnel are changed due to special reasons, Huawei shall notify the customer three working days in advance until the project acceptance is complete.
   • Huawei can only use the data authorized by the customer for improving stability.
3. Customer Responsibilities
   • The customer assigns a project owner to assist Huawei Cloud in implementing services. The project owner is responsible for arranging and coordinating personnel, resources, or other matters between the two parties, and reviews and accepts the services provided by Huawei Cloud.
   • The customer shall provide service system information, including but not limited to application architecture, deployment architecture, resource quantity, and performance.
4. Responsibility Details
   • Big data development support and tuning

     Description
     Before providing big data technical support and tuning, Huawei needs to collect necessary information from the customer's system to determine the service scope and delivery period. The information to be collected includes but is not limited to the following: versions, components, users, and permissions of big data clusters, demo code, and routine maintenance scope for the service.
     Huawei Responsibility	Customer Responsibility
     Sends the information collection form to the customer. Sorts out and identifies information related to big data technical support and tuning.	Provides necessary information related to big data technical support and tuning and the information query methods. Provides the accounts and access conditions for implementing big data technical support and tuning.

   • Data management maturity diagnosis and design, master data management system diagnosis and design, and data security specifications diagnosis and design

     No.	Service Process	Activity	Huawei	Customer
     1	Project initiation	Set up a project team.	Responsible party	Assisting party
     		Explain the project content.	Responsible party	Assisting party
     2	Project survey	Make a survey plan.	Responsible party	Assisting party
     		Conduct a survey.	Assisting party	Responsible party
     		Evaluate the status.	Responsible party	Assisting party
     		Generate the status diagnosis report.	Responsible party	Assisting party
     		Perform a phased acceptance of the status diagnosis report.	Assisting party	Responsible party
     3	Solution design	Output the design plan.	Responsible party	Assisting party
     		Perform a phased acceptance of the design plan.	Assisting party	Responsible party
     4	Project acceptance	Accept the project, and sign and seal the acceptance report.	Assisting party	Responsible party

Service Acceptance

1. Acceptance Criteria
   • Acceptance method: online or offline
   • Acceptance criteria: Huawei submits the deliverables of each sub-service. If customers accept the deliverables, they confirm acceptance on the Huawei Cloud console or sign or seal the XXX Service Acceptance Report.
2. Acceptance Notes
   • The acceptance should focus on the content of the delivered documents. If the content of the deliverables complies with the SOW, the deliverables should pass the acceptance. A few formatting or description issues should not be used as the reason for rejecting the deliverables. However, the bidder should modify the issues within a reasonable period of time as required.
   • During the project, all deliverables must be discussed and reviewed to ensure that both parties reach an agreement on the content of the deliverables and therefore reduce the time required for verifying the deliverables. Party A should approve or provide feedback to the bidder's suggestions or requirements in a timely manner. Based on the actual situation of the project, some or all deliverables must be reviewed by the project team and business department before being accepted and signed, and must be reported to leaders. Party A should organize (including coordinating consultants) and complete all internal reviews and reporting in time before the acceptance time specified in the contract.
   • The bidder shall modify the deliverables within five working days based on the comments provided by the preceding reviews and reporting, and submit the final version of deliverables to Party A for acceptance.
   • After receiving the final version of deliverables submitted by the bidder, party A shall provide feedback to the bidder within five working days. After receiving party A's feedback, the bidder shall submit the modified deliverables to party A for re-acceptance within five working days. The bidder can submit the deliverables for no more than three times. Both parties shall work together to complete the acceptance of deliverables within 15 working days after Party A receives the final version of deliverables. Party A shall accept and sign the project deliverables at that time. During each round of review, if the bidder does not receive any written comments from party A within five working days of submission, the deliverables are deemed to have been accepted by party A.
   • If it takes more time than planned to complete the deliverable review and approval due to non-bidder reasons, the project team will extend the work time of the team and request the corresponding payment according to the change control process defined in the SOW.
   • If the deliverable acceptance is not completed within 15 working days after party A receives the final version of deliverables, both parties shall evaluate the impact on the subsequent work (if any) and negotiate how to complete the subsequent modification and acceptance of the deliverables.
   • After the deliverables are accepted and signed, if any addition or deletion of any content in the deliverables is requested, Huawei will assess the complexity and risks of the addition or deletion (such as the impact on service fees, schedule, and resource allocation), including the changes in the project fees and schedule brought by the addition or deletion. The addition or deletion can be carried out with the consent of both parties.
   • After milestone-related deliverables are accepted according to the process defined in this section, the owner is authorized to sign the milestone acceptance report. The completion of the work beyond the scope of the bidder's responsibilities shall not affect the completion and acceptance of the milestone.