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随着“数字中国”战略的提出与《中共中央国务院关于构建数据基础制度更好发挥数据要素作用的意见》的出台，政府正在加速推动大数据与实体经济的深度融合，以促进经济发展。数据成为提升企业核心竞争力的关键生产要素已达成各行业共识。尤其是对于制造类企业而言，依托庞大的用户群体和广泛的线下营运渠道与高效的工业互联网线上平台，使数据资产能够助力企业实现产品内容的升级换代、制造流程中的成本节约与拓展新业务渠道。然而，当前关于数据资产估值体系的研究还不够全面，多数制造类企业也无法准确认识数据资产的价值，难以对数据资产进行有效管理和价值挖掘，导致不利于数据资产在市场中交易流通。如何正确界定并量化制造类企业中数据资产的价值，成为亟待解决的问题。

本文在现有研究的基础上，首先对制造类企业和数据资产的相关概念进行了梳理，结合目前制造类企业的数据资产管理情况进行了研究和分析，讨论了数据资产特定应用场景，厘清其在制造类企业中的价值驱动；其次通过分析已有数据资产评估方法的适用性和局限性，基于数据资产对制造类企业产生增量收益的角度，构建了适合制造类企业价值评估模型，具体着眼于构建思路、模型推导等方面、适用范围和应用步骤，四个方面依次进行了论述；最后以海尔智家公司为例进行案例分析，结合海尔智家使用数据资产现状，根据评估模型计算出海尔智家的数据资产价值。

通过研究，本文得出以下结论：（1）在评估方法的适用性分析上，由于数据资产具有不确定性和价值易变性，传统的成本法往往低估其真实价值；由于同行业数据资产管理与定价正处于探索阶段，当前的数据资产交易量难以满足市场法的使用条件，因此可以尝试从收益法途径入手评估制造类企业的数据资产价值；（2）在模型构建上，本文建议从增量收益视角出发，结合数据资产在制造类企业中的价值驱动作用，设立新增付费客户收入、运营成本节约、投资收益增加、新拓展业务收入四个衡量增量收益的指标，并结合层次分析法确定数据资产对增量收益指标的贡献率，在此基础上构建价值评估模型，进而评估得到案例企业的数据资产价值，对提升制造类企业数据资产价值评估合理性和可行性做出有益探索。

With the proposal of the "Digital China" strategy and the release of the "Opinions of the CPC Central Committee and The State Council on Building a Data Foundation System to Better Play the role of Data Factors", the deep integration of big data and the real economy has been accelerated by governments. It has reached a consensus in all industries that data has become a key production factor to enhance the core competitiveness of enterprises. Especially for manufacturing enterprises, large user groups, extensive offline channels and efficient industrial Internet online platform, data assets can help enterprises realize the upgrading of product content, cost saving in manufacturing process and expansion of new industrial business. The current research on the valuation system of data assets is not comprehensive enough, and most manufacturing enterprises cannot accurately understand the value of data assets, which is difficult to effectively manage and explore the value of data assets, and is not conducive to the transaction and circulation of data assets in the market. How to properly define and quantify the value of manufacturing data assets has become an urgent problem to be solved.

Based on the existing research, this paper firstly sorts out the related concepts of manufacturing enterprises and data assets, studies and analyzes the current data asset management of manufacturing enterprises, discusses identifies the specific application scenarios for data assets and clarifies how to drive value from data assets in manufacturing. Secondly, through the analysis of the applicability and limitations of the existing data asset evaluation methods, based on the incremental income of data assets to manufacturing enterprises, a value evaluation model suitable for manufacturing enterprises is constructed. Focusing on the construction ideas, model derivation, application scope and application steps, four aspects are discussed successively. Finally, the data asset value assessment of Haier Smart Home Co., Ltd. is taken as an example to analyze, and the data asset value assessment model for manufacturing enterprises is applied, and the case study is carried out, and the application effect of the model is further tested.

Based on the research conducted, this paper concludes that: (1) The traditional cost method tends to underestimate the true value in the applicability analysis of the valuation method. of data assets due to the uncertainty and value variability; As the management and pricing of data assets in the same industry is in the exploratory stage, the current trading volume of data assets is difficult to meet the conditions for the use of market method, and it is difficult to have a unified measurement standard solely depending on the attribute index score of analytic hierarchy process.However, we can have a look at the value of data assets in terms of manufacturing enterprises from the income approach. (2) In terms of model construction, this paper proposes to set up four indicators to measure incremental income from new paying customers, operating cost saving, investment income increase and new business expansion income from the perspective of incremental income, and determine the contribution rate of data assets to incremental income by combining the analytic hierarchy process .On this basis, a value evaluation model is constructed, and then the value of data assets of the case enterprise is evaluated, which makes a beneficial exploration to improve the rationality and feasibility of the value evaluation of data assets of manufacturing enterprises.