传统会计岗位面临着被自动化和人工智能取代的挑战。
财务部门并不会因此消失，而是会涌现出新的岗位，适应时代的需求。
我称这种新兴岗位为“数字会计”。在未来的财务部门中，数字会计将成为关键角色，承担起数据处理和分析的重任。
数字会计需要储备哪些能力，以及其在未来财务管理中的重要性将会是什么？
数字会计首要能力就是商业大数据处理能力
- 财务数据与业务数据的整合。未来的数字会计需要具备强大的商业大数据处理能力。这不仅包括财务数据，还包括业务数据。财务本来就是历史上商业大数据处理的最佳工具，然而传统的财务会计往往只掌握了逻辑，却没有掌握大数据处理的能力。数字会计需要能够将各种数据进行整合和分析，从中提取有价值的信息。
- 数据清洗与预处理。在处理大数据时，数据的质量至关重要。数字会计需要掌握数据清洗和预处理的技能，确保数据的准确性和一致性。通过清洗和预处理，能够有效去除噪音数据，提高数据分析的准确性和可靠性。
- 数据存储与管理。数字会计还需要了解现代数据存储和管理技术，如数据库管理系统（DBMS）、数据仓库和数据湖等。掌握这些技术，能够高效地存储和管理大量的数据，为后续的分析和处理提供支持。
自动化能力
- 财务工作的自动化。未来的财务岗位将大量依赖自动化技术，数字会计需要能够将传统的会计工作全面自动化。通过使用自动化工具和软件，能够实现自动记账、自动报表生成等功能，极大地提高工作效率，减少人为错误。
- 业务数据的快速处理。除了财务数据的自动化处理，数字会计还需要具备快速处理业务数据的能力。通过自动化技术，能够实时获取和处理业务数据，确保数据的及时性和准确性，为企业管理提供实时支持。
数据中台建设能力
- 数据中台的概念。数据中台是一种将企业内外部数据统一管理和处理的平台，为各业务部门提供数据支持。数字会计需要具备建设和管理数据中台的能力，能够将各种数据源整合到一个平台上，实现数据的统一管理和共享。
- 数据中台的实施。数字会计需要了解数据中台的实施步骤和方法，包括数据采集、数据存储、数据处理和数据服务等环节。通过建设数据中台，能够高效管理企业的数据资源，提高数据利用率和分析效率。
数据分析与管理报表能力
- 多维度数据分析。未来的财务岗位将更加聚焦于数据分析，数字会计需要具备多维度数据分析的能力。能够从不同角度和层次分析数据，发现潜在的问题和机会，为企业决策提供支持。
- 管理报表的生成。数字会计还需要具备生成管理报表的能力。通过分析数据，能够为管理层提供各类定制化的管理报表，帮助管理层全面了解企业的经营状况和财务状况，做出科学的决策。
技术与软技能的结合
- 数据科学与机器学习。数字会计需要掌握数据科学和机器学习的基本知识和技能。通过运用机器学习算法，能够从大量数据中提取有价值的信息，进行预测分析和风险评估，提高财务管理的科学性和准确性。
- 沟通与协作能力。除了技术能力，数字会计还需要具备良好的沟通与协作能力。能够与企业内外部的各个部门进行有效沟通，了解他们的需求，提供相应的数据支持和分析报告，推动企业整体管理水平的提升。
在未来的财务部门中，数字会计将成为关键角色，承担起数据处理和分析的重任。
为了胜任这一岗位，数字会计需要储备商业大数据处理、自动化、数据中台建设、数据分析与管理报表等多方面的能力。
同时，还需要结合数据科学与机器学习的知识，以及良好的沟通与协作能力。
只有这样，数字会计才能在未来的财务管理中发挥重要作用，推动企业的数字化转型和高效管理。
First job after accountant's gone
Traditional accounting jobs are being replaced by automation and AI.
But finance departments won't disappear. New roles will emerge to meet the needs of the times. I call this new role "Digital Accountant."
In the future, Digital Accountants will be key, handling data processing and analysis.
What skills do Digital Accountants need, and why are they important in future financial management?
Main Skill for Digital Accountants: Handling Big Business Data
- - Integrating Financial and Business Data: Future Digital Accountants need to handle big business data.
- This includes both financial and business data. Accounting has always been the best tool for processing business data, but traditional accountants often only understand the logic, not the data handling.
- Digital Accountants need to combine and analyze various data to extract valuable information.
- - Cleaning and Preprocessing Data:Quality data is crucial when handling big data.
- Digital Accountants need to know how to clean and preprocess data to ensure accuracy and consistency.
- This helps remove noise and improve the reliability of data analysis.
- - Storing and Managing Data:Digital Accountants should also understand modern data storage and management technologies like database management systems (DBMS), data warehouses, and data lakes.
- Knowing these helps store and manage large amounts of data efficiently for analysis and processing.
Automation Skills
- - Automating Financial Work: Future finance roles will rely heavily on automation. Digital Accountants need to automate traditional accounting tasks fully.
- Using automation tools and software, they can automate bookkeeping and report generation, boosting efficiency and reducing errors.
- - Quickly Handling Business Data:Besides automating financial data, Digital Accountants need to handle business data quickly.
- Automation helps get and process business data in real-time, ensuring timely and accurate data for management.
Building Data Platforms
- - Concept of Data Platforms: A data platform manages and processes both internal and external data, supporting various business departments.
- Digital Accountants need to build and manage these platforms, integrating different data sources into one system for unified management and sharing.
- - Implementing Data Platforms: Digital Accountants need to know how to implement data platforms, including data collection, storage, processing, and service.
- Building these platforms helps manage data resources efficiently and improves data usage and analysis.
Data Analysis and Reporting Skills
- - Multi-Dimensional Data Analysis:Future finance roles will focus more on data analysis.
- Digital Accountants need to analyze data from various angles to find problems and opportunities, supporting business decisions.
- - Creating Management Reports:Digital Accountants also need to generate management reports.
- By analyzing data, they can provide customized reports to management, helping them understand the company's performance and make informed decisions.
Combining Technical and Soft Skills
- - Data Science and Machine Learning: Digital Accountants need basic knowledge of data science and machine learning.
- Using these, they can extract valuable information from large data sets for prediction and risk assessment, making financial management more scientific and accurate.
- - Communication and Collaboration:Besides technical skills, Digital Accountants need good communication and collaboration skills.
- They must work with various departments to understand their needs and provide data support and reports, improving overall management.
In future finance departments, Digital Accountants will be crucial, handling data processing and analysis.
To succeed, they need skills in big data handling, automation, data platform building, data analysis, and reporting.
They also need to combine knowledge of data science and machine learning with good communication and collaboration skills.
This way, Digital Accountants can play a vital role in financial management, driving digital transformation and efficient management.