Data Managment Solutions
Data Governance Solutions
Governance is the key to successfully managing your organization's data.
Implementing data governance solutions will help your organization manage data according to the highest standards, ensuring your data is accurate and trustworthy. This enables you to make better business decisions and drive your data-led initiatives toward success.
What is Data Governance?
Data governance is the process of effectively managing data to ensure it remains available within an organization’s systems in a correct, secure, and consistent manner, free of contradictions and errors. It also involves implementing a set of standards and policies that monitor how data is used within the organization’s operations.
Why Do Organizations Need Data Governance Solutions?
- Avoid penalties resulting from data privacy violations, given the rise of data regulations and laws that must be complied with.
- Data governance enforces a set of standards and policies that help prevent data errors and misuse.
- Eliminate inconsistent data silos across different business units.
- Governance provides a common understanding of data across the organization by defining shared data terms and definitions.
- Data governance solutions improve data quality by identifying and fixing errors in various datasets.
- Governance helps increase the accuracy of data analysis, ensuring the resulting information provided to decision-makers is correct and precise.
- Data governance boosts customer trust in the security and privacy of the data they provide to the organization.
- Data governance improves the organization's reputation in the job market and increases the desire to work and contract with it due to its compliance with the best data privacy standards.
- Reduce costs and increase revenue as a result of improved business efficiency.
What are the Components of a Data Governance Framework?
A data governance framework should include a core set of components, the most important of which are:
- A set of policies, rules, processes, organizational structures, and technologies.
- A statement of the program's purpose.
- Metrics that will be used to evaluate the objectives.
- Measurable data governance objectives that the organization can track.
- The roles and responsibilities of decision-makers in the data governance program.
What are the Steps for Implementing Data Governance Initiatives?
Data experts recommend following a series of steps to implement a data governance framework:
- Train and educate all necessary teams, individuals, and stakeholders on data governance.
- Define the responsibilities and authorities of data asset owners or stewards across the organization and involve them in the governance program.
- Identify existing data assets and informal governance processes.
- Create a structure for the data governance program.
- Appoint a team and define data governance roles.
- Develop a data governance policy and data standards, along with rules that determine how data is used by authorized individuals.
- Establish a set of controls and audit procedures to ensure continuous compliance with internal policies and external regulations, and to ensure data is used consistently across the organization’s systems and applications.
- Document the data source, where it’s stored, and how it’s protected from misuse and security attacks.
- Define metrics to evaluate the success of the governance program.
Learn About the Responsibilities and Requirements of a Data Governance Consultant Register Now
Learn about the responsibilities and requirements of a data governance solutions consultant.
What are the Types of Technical Data Governance Solutions?
Software solutions that organizations use for data governance typically include two main types:
1. Standalone Data Governance Software
2. Integrated Data Platforms
Both types offer common features, most importantly the ability to create a business glossary, data lineage, and rule-based workflows. Many of these programs also integrate automation, artificial intelligence (AI), or machine learning (ML). Some include features like data discovery, master data management (MDM), data cleansing, and data integration, in addition to other data capabilities.
Organizations use data governance solutions to ensure the correct setup and execution of data governance program processes. Data governance software is used to help with the following:
- Program and workflow management
- Creating data catalogs
- Documenting the policy development process
Data Governance Consultations and Solutions from RMG
The data experts and consultants at Renad Al Majd for Information Technology (RMG) will be with you every step of the way, from raising awareness and planning to the compliance and evaluation stages, ensuring your data governance program succeeds and drives your business toward prosperity and excellence.
1. Awareness and Training
- Workshops to raise awareness and educate on data governance within the organization.
- Custom training programs to qualify data governance specialists.
2. Solutions for Overcoming Governance Challenges
Our consultants will assist your organization in identifying the challenges and concerns surrounding the implementation of a data governance program and provide suitable solutions to overcome them. We will also help prioritize based on the organization’s business objectives.
3. Strategy and Planning
- Conduct a maturity assessment to determine the organization’s current state.
- Identify the organization’s needs for a data governance strategy.
- Identify opportunities for secondary data use within the organization.
- Ensure integrity in the use of data for secondary purposes.
- Develop a data governance strategy.
- Provide consultations on various aspects of preparation and planning.
4. Implementation of the Data Governance Framework and Solutions
- Design and apply a data governance policy.
- Design and apply a data governance program framework.
- Enhance data quality improvement processes.
- Provide options for the best technical data governance solutions that meet the organization’s needs.
5. Compliance and Program Success Evaluation
- RMG consultants and experts are dedicated to completing the work thoroughly, even in its final stages, and ensuring your organization adapts to the new data governance framework and that governance solutions are integrated with the organization’s systems. We provide assistance in evaluating the data governance program after its implementation, in addition to auditing, control training, and other practices that must be followed to ensure continuous compliance with the governance program.
Contact a Governance Consultant Now!
Learn more by booking a free consultation with our consultants.
FAQ
Data governance solutions take a holistic view of the data lifecycle from a business perspective, while data management is more concerned with the tools, services, and repositories used to handle that data. That is, a data governance program primarily addresses your data strategy, while management solutions address tactics.
Data Governance Policy: A set of guidelines that must be followed to ensure the consistency of an organization’s data and information asset management processes and their proper use. It includes a set of individual policies for different aspects of data and defines the different roles and responsibilities for implementing those policies and monitoring compliance. The most important of these include:
Data Quality
Data Access
Data Security and Privacy
Data Use
- AssignmentData Classification: The process of mapping data helps document the data assets present in the organization’s systems and how they flow. After this process, identified data sets must be classified according to various factors, such as whether they contain personal or sensitive information.
- Business Dictionary: Contains definitions of business terms and concepts used within the organization to ensure a common understanding across the entire organization.
- Data Catalog: Catalogs collect metadata from systems and use it to create an indexed inventory of available data assets, including information about data lineage, search functions, and collaboration tools. Information about data management policies and automated mechanisms for implementing them can also be included in the catalogs.
First, identify the primary users of the software: Some data governance tools are designed for general business users, some for IT, and others for data science professionals and specialists such as the Chief Data Officer (CDO). Therefore, you need to determine which group in your organization will receive and use the tool.
Second, identify your needs: What are the actual needs of implementing a data governance program in your organization? Are you looking for a data quality solution, MDM, or other data integration solutions? You must determine exactly what capabilities and features you require in a data governance tool.
Third, verify that the software includes only what you need: Software designed to provide features solely for data governance purposes is rare. Many vendors offer additional features that you may not need, so make sure you get exactly what you need without overpaying for features that won’t be useful to you.
Fourth, adopt the try-before-you-buy option: Don’t miss the opportunity to try free trials before you buy.
- Our team consists of 90+ consultants and experts in the fields of governance, data management, and digital transformation.
- We have a vast portfolio of successful projects and workshops related to data governance and management across various entities and sectors in the Kingdom.
- We ensure the success of your organization’s data governance program by providing various services that cover the governance program from planning to evaluation.
- A qualified expert team works on data projects and various related documents and policies in both Arabic and English.
- Provide support and respond to your inquiries around the clock.
