In the twenty-first century, the world is ruled by information and in order to remain competitive in the market, an enterprise needs not only to own information, but also to be able to competently dispose of it. At the moment, there are different data management systems for effective company management.
Let’s analyze the concept of Data Governance, what it is and what it is for an enterprise.
Data Governance is a set of processes for determining the most important data for use by employees, assigning them access and management rights for the smooth operation of a business process, as well as protecting data from external influences.
It is worth noting that many people confuse the concepts of Data Governance and Data Management.
Data Management is the process of collecting, storing and updating data.
We can say that Data Governance forms a data management strategy, and Data Management directly manages data according to a certain strategy.
For a better understanding, we will give the following example shown in the figure:
Data governance according to Data Governance affects the strategic, operational and tactical levels of an organization. Therefore, data management must be performed in continuous integration to effectively organize and use the data.
The main characteristics of Data Governance will be:
Like any Data Governance system, it includes:
The key functions of Data Governance programs are, first of all, the formation of data entry processes in accordance with established standards. As an example, the correctness of terms, consistency of business processes, comparability with similar or related data can be cited.
Appointment of those responsible for the entry, accuracy and security of information.
Unified data management system, i.e. the same standards apply across all business processes.
At the moment, the most popular data governance programs are:
One platform for data management. Egnyte is suitable for all sizes of business and has infinite scalability, making it an ideal choice for growing organizations. The program integrates well with third-party products. This includes built-in support for Microsoft 365 and Google Workspace, as well as a number of external integrations such as Zoom and Trello. Egnyte servers are stored in the SSAE-16 Level II data center. Each file is protected both in transit and at rest with 256-bit AES encryption.
The main advantage of this system will be:
Single data space
Automated validation and comparability
The capabilities of the program are presented in the figures below.
SAP Master Data Governance
A system for consolidating and centrally managing the lifecycle of master data.
The program brings together master data across the entire organization and provides centralized management to create a unified view of the business, as well as provides predefined applications for specific areas and structure for the master data defined by the customer.
This system provides for various forms of access, both local and cloud-based.
Skills training required to optimize the use of SAP Master Data Governance.
There are ready-made models for presenting information.
The program allows you to combine databases into a single intelligent catalog by scanning systems and data lakes.
This system is suitable for both experienced users and beginners, as the user-friendly interface makes it easy to use.
Provides collaboration for analytics, intelligence, and business teams to help them find and share data quickly and easily.
Interoperates with a variety of data management, business intelligence and analytics platforms. Some of them include Amazon S3, Salesforce, MySQL, MongoDB, etc.
All data can be organized using tags, usage statistics, and other markers.
Shows data connections among themselves in various databases and lakes.
A platform for managing unstructured data. The ability to integrate with IAM systems, HR and other applications, which makes it easier to protect data privacy. Provides dozens of already generated reporting templates, and also allows you to create the necessary reporting for experienced users yourself. One of the advantages of the program is the automated detection of outdated and repetitive data and cleaning them from the system.
Allows you to track outdated mailing lists to see which ones are not in use, and also identifies who owns the DL, and if no owner has been assigned, determine who is the “Most Likely Owner”.
It allows you to customize and adapt data and business processes, reuse queries, and use automated curation. A set of rules and recommendations for using data in a workflow has been created, and automated prompts are being applied.
The ability to collaborate with teams, which improves management efficiency. Availability of a unified system of links for all data users.
The Alation Data Directory has three key areas of functionality: search and discovery, management and collaboration.
Analysts can query any data warehouse where it resides, be it Oracle, Teradata, Hadoop, MySQL, or others. And if they need help, SmartSuggest will recommend best searches based on past use.
IBM Data Governance
Data management platform with integrated data catalog. Out-of-the-box solutions help ensure the readiness of the data pipeline to catalog, protect and manage sensitive data, and trace the origin of the data.
The main advantages are flexibility in setting a strategy, intelligent data cataloging, reliable analytics and complete confidentiality, and data protection.
Determines the relationship between information assets and their origin:
from physical storage location
through transformation procedures
before business term
Analyzes the impact of data changes on the overall health of the enterprise.
A system that allows you to manage data according to assigned roles and responsibilities. The main feature is the coordination of data between systems for more accurate reporting and analysis, the program identifies missing records and broken connections when moving data between systems.
Collibra automates management activities and provides cross-functional teams with a single place to find and establish a common understanding of data.
The Collibra + Tableau combo provides data users with a flawless combination of robust database and creative disclosure tools from data discovery to data visualization and analysis.
The program enables users to receive managed data and certified reports from across the enterprise — breaking through the business and operational units to enable truly collaborative analysis and accelerate data-driven analysis.
CTG (Computer Task Group)
The system provides data management forming a single database. The company also offers automated data analysis for analytics and management. Provides three main steps that organizations must take to ensure data quality so that they can transform “data inputs” into consistently defined and approved information assets.
The program uses test automation technology in its organization, you can turn the time-consuming internal cycles of manual testing of applications and software into a single process.
Truedat is the leading data management software solution that enables our customers to implement their data management programs.
The system provides a complete view of the data from a business and technical point of view. Designed for a user-friendly environment with visual and easy-to-use tools. It allows you to share the results of data mining, provide round-the-clock consultation in problem areas and adapt to a specific request.
Optimizes the data warehouse into a single data processing platform that powers all decision-making and operating systems in a company. Data warehouse analytics, which collects and provides information about your data warehouse metadata.
By providing users with the technology to build data pipelines and integrate with over 100 different data warehouses and SaaS applications, including Google Analytics, Salesforce, and Facebook ads, Xplenty enables users to pull or transfer data from the most popular data sources.
Using the Xplenty API and webhooks, users can customize and extend the Xplenty platform.
Let’s make a comparative description of the software and present it in the table
The article examined the main tools of Data Governance. The concepts of Data Governance and Data Management and their differences are discussed. The market analysis of the most popular data management systems is carried out, as well as their capabilities and advantages are considered.
At the moment, Data Governance is just beginning its life path in the domestic market, however, the advantages of this system will allow optimizing domestic business.