As we head into the new year, organizations should be aware of the latest trends in data management. Here are my top five trends to keep an eye on in 2023:
1. Data Democratization
Organizations are giving more of their people access to data, regardless of their level of technical expertise. By doing so, organizations are empowering more of their employees to make better decisions and drive innovation.
2. AI-based Data Quality
With the increasing amount of data being generated, it’s becoming more important to ensure that the data is accurate and of high quality. Artificial intelligence (AI) and machine learning (ML) can be used to automatically clean and validate data, which can help to improve the data’s overall quality.
I expect that AI and ML will be increasingly used to automate not only data quality, but other data integration processes, such as data profiling and data mapping.
3. Enterprise Data Layer
Many organizations are implementing an enterprise data layer, which centrally manages data across the organization. With an enterprise data layer, organizations can more easily share data across different departments and systems. This can help to improve the consistency and quality of the data, which can lead to better decision-making.
4. Data Analytics and Governance
With the growing amount of data, it’s becoming more important for organizations to have a strong focus on data analytics and governance. By using advanced analytics and visualization techniques, companies can gain insights from their data to make better decisions. And with effective data governance, companies can ensure that they are using data in an ethical and compliant way.
Data volumes continue to steadily grow, and with the increasing importance of data privacy and security, organizations will be sure to place an even greater emphasis on data governance.
As organizations continue to generate more data, there is an increased need for tools that allow non-technical users to work with that data. Low-code/no-code platforms are becoming increasingly popular, as they enable users to create and manage data-driven applications without having special expertise. This can improve the speed and efficiency of data management and analysis.
As more non-technical users need to work with data, low-code/no-code data integration tools will become more popular, as they enable users to integrate data without special expertise.
Here’s to a Good New Year
These trends show that data management is becoming more accessible and user-friendly, with an increased focus on data quality, data governance, and analytics. By keeping these trends in mind, organizations can ensure that they are using data to its fullest potential and making better decisions in the year to come.
- Data Management Trends in 2023: My Top 5 Trends to Watch - January 25, 2023
- Data Mesh vs Data Fabric: Understanding the Key Differences (2023) - January 17, 2023
- The 3 Phases of Data Analysis: Raw Data, Information and Knowledge - September 6, 2022