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Last updated on 2024年6月14日

Here's how you can streamline data governance processes using automation tools.

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Data governance is a critical aspect of managing organizational data, ensuring its accuracy, accessibility, and security. With the ever-increasing volume and complexity of data, manual governance processes can be time-consuming and prone to errors. Automation tools can significantly streamline these processes, reducing the workload on your team and improving the quality of your data governance efforts. In this article, you'll learn how to leverage automation to enhance your data governance strategy.

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Adriana Moutinho

Governan?a de Dados, Arquitetura de Dados, LGPD/GDPR, Azure Microsoft Certified, Quest ERWin Certified, Quest Data…

1 Define Goals

Before diving into automation, it's crucial to define clear data governance goals. What do you aim to achieve with your data governance program? Whether it's ensuring compliance with regulations, improving data quality, or enabling better decision-making, having well-defined objectives will guide you in selecting the right automation tools. These tools can then be configured to target specific governance tasks that align with your goals, such as automating data classification or policy enforcement.

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Adriana Moutinho

Governan?a de Dados, Arquitetura de Dados, LGPD/GDPR, Azure Microsoft Certified, Quest ERWin Certified, Quest Data Inteligence
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A defini??o de metas claras, fundamentadas nos OKRs definidos pela lideran?a da organiza??o, tornará mais fácil a defini??o e implementa??o de ferramentas de automa??o que facilitar?o os processos de gest?o e governan?a de dados.

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Carlos A. Bassi

CEO INFORMSYS | CBPP Red Seal | CIP | DPO | CDIA+ | BPMm | BPMs | BPMp | ECMs | ECMp | Business Transformation | Membro AIIM, ABPMP, APDADOS, INSTICC, Process Science
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N?o adianta automatizar seu processo sem definir quais metas sao desejadas para seu programa de governan?a. Estas metas permitir?o selecionar quais recursos ser?o necessários em uma ferramenta de automa??o.

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Srinivas Satyanarayana

Chief Data Officer @ Diggybyte | Digital Transformation Leader | Data Modernisation Leader | Strategic Thinker
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To streamline data governance processes using automation tools, I begin by identifying repetitive and time-consuming tasks that can benefit from automation. I evaluate and select tools that best fit our needs, such as data quality monitoring, metadata management, and compliance tracking. Implementing these tools involves setting up workflows, integrating them with existing systems, and training the team. I regularly monitor the automated processes to ensure they function correctly and make adjustments as needed. Automation helps me improve efficiency, reduce errors, and focus on strategic data governance activities.

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2 Assess Data

An essential step in streamlining data governance is to assess the current state of your data. This involves understanding the types of data you have, its sources, and how it flows through your organization. Automation tools can help by providing data discovery and inventory capabilities, automatically identifying and cataloging data assets. This not only saves time but also provides a comprehensive view of your data landscape, which is invaluable for effective governance.

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Carlos A. Bassi

CEO INFORMSYS | CBPP Red Seal | CIP | DPO | CDIA+ | BPMm | BPMs | BPMp | ECMs | ECMp | Business Transformation | Membro AIIM, ABPMP, APDADOS, INSTICC, Process Science
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A sele??o da ferramenta mais adequada para automa??o dos seis processos de governan?a dependerá do seu conhecimento dos dados da organiza??o. Realizar um inventário dos dados permitirá identificar dentre outros, onde os dados est?o armazenados, os diferentes tipos e o volume a ser tratado.

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3 Choose Tools

Selecting the right automation tools is pivotal for streamlining your data governance processes. You should look for tools that can integrate seamlessly with your existing systems and support the specific governance tasks you need to automate. For example, if your goal is to automate data quality checks, you'll want a tool that can continuously monitor data for inconsistencies and automatically apply corrections where necessary.

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4 Implement Policies

Policy implementation is a core component of data governance. Automation tools can enforce policies consistently across all data sets without requiring manual intervention. By setting up rules and conditions within these tools, you can ensure that data handling adheres to your governance framework. This includes automating access controls, retention schedules, and compliance reporting, thereby reducing the risk of human error and non-compliance.

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Adriana Moutinho

Governan?a de Dados, Arquitetura de Dados, LGPD/GDPR, Azure Microsoft Certified, Quest ERWin Certified, Quest Data Inteligence
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Ferramentas como OneTrust, Collibra e Varonis podem auxiliar na automatiza??o de processos de rastreamento de requisitos regulamentares para garantir que os dados est?o sendo utilizados de acordo com o padr?o estabelecido. Desta maneira, reduz o risco de n?o conformidade e de penalidades, além da simplifica??o dos processos de auditoria.

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5 Monitor Compliance

Monitoring compliance is a continuous process in data governance. Automation tools can provide real-time alerts and reports on governance metrics, making it easier to track compliance with internal policies and external regulations. This proactive monitoring allows you to quickly identify and rectify any governance issues, maintaining the integrity of your data governance program and ensuring that you remain compliant at all times.

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6 Optimize Continuously

Data governance is not a set-and-forget process; it requires ongoing optimization. Automation tools can collect data on governance operations, providing insights into areas that may require improvement. By analyzing this data, you can refine your governance processes, enhance the performance of automated tasks, and ensure that your governance program evolves with your organization's needs and the changing data landscape.

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Adriana Moutinho

Governan?a de Dados, Arquitetura de Dados, LGPD/GDPR, Azure Microsoft Certified, Quest ERWin Certified, Quest Data Inteligence
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Monitorar e medir a performance através de ferramentas de observabilidade é uma saída para a organiza??o que deseja evoluir seus processos. Ferramentas como Splunk, Dynatrace e New Relic auxiliam (1) rastreando os principais indicadores de desempenho (KPIs) e (2) medindo a eficácia das iniciativas de GD com base em dados de desempenho em tempo real.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Adriana Moutinho

Governan?a de Dados, Arquitetura de Dados, LGPD/GDPR, Azure Microsoft Certified, Quest ERWin Certified, Quest Data Inteligence
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A defini??o de metas claras, baseadas em OKRs, e a utiliza??o de boas ferramentas de automa??o, ajudam as organiza??es a: (1) simplificarem os processos de governan?a de dados, (2) a garantir o bom gerenciamento dos dados, (3) a promover a melhoria contínua com bases em métricas (KPIs), (4) a apoiar os objetivos estratégicos de negócio e (5) a promover uma cultura orientada a dados.

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Here's how you can streamline data governance processes using automation tools.

1

2

3

4

5

6

7

1 Define Goals

2 Assess Data

3 Choose Tools

4 Implement Policies

5 Monitor Compliance

6 Optimize Continuously

7 Here’s what else to consider

Data Governance

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Here's how you can streamline data governance processes using automation tools.

1

2

3

4

5

6

7

1 Define Goals

2 Assess Data

3 Choose Tools

4 Implement Policies

5 Monitor Compliance

6 Optimize Continuously

7 Here’s what else to consider

Data Governance

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感谢您的反馈

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