A growing business collects an unbelievable amount of data from multiple sources every day. Is more data good for your business? Undoubtedly yes! In the modern world, data is becoming one of the most valuable resources for all types of businesses. However, too much data can also spell problems for your business, as you will find it tough to manage the data flow properly. You may also face security, sharing, and checking issues. You can leverage the value of data only if they are appropriately managed. That’s why your business must invest in the best data management tools.
Data Management Tools Explained
A Data Management System comprises a set of tools designed to deal with different objectives. It helps obtain, validate, and refine the data to ensure its reliability to users. The best Data Management Tools can carry out a wide array of functions ranging from demanding storage, detailed analysis, and smooth distribution of data.
The Key Features of Data Management Tools
Automation is the best way to manage data. It can minimize redundancies and save costs and time. These tools do not just do a great job with storage. They also analyze and monitor data and guide you in making the right business decisions.
The key features of data management tools are:
- They are designed to manage huge volumes of data.
- Authorized users can access data from any destination. Additionally, this cloud-based functionality is invaluable for those working remotely. It also helps synchronize information across time zones.
- It also helps do away with data redundancies.
- Specific data can be easily located, exported into any format, and shared quickly, saving loads of time.
- The tools are secure and efficient and ensure privacy.
- They provide backup generation and options for the recovery of historical data.
The Best Data Management Tools for 2023
1. Oracle Data Management Suite
Firstly, the Oracle Data Management Suite is an all-inclusive platform offering a suite of solutions for the building, deployment, and management of data-driven projects. It is designed to deliver consistent and consolidated data across your business. The information is passed on to all your analytical and operational applications. You can use the tool to gain control over data governance and to ensure policy compliance.
2. Microsoft Master Data Services
Next, the Microsoft Master Data Services platform comes with a suite of services. You can use them to manage a master set of complex data and organize them in models. Additionally, they can be updated by forming rules. At the same time, the platform enables users to develop solutions built on top of an SQL Server database technology. It also provides service-oriented architecture endpoints using Windows Communication Foundation (WCF). Microsoft Master Data Services implements a hub design. It offers centralized and coordinated data sources to diminish data severances.
3. IBM Infosphere Master Data Management Server
IBM Infosphere Master Data Management Server is an advanced data management tool for the smooth management of enterprise data. It helps present the data in a trusted format and delivers analytic capabilities. The platform also features such as a security system, multi-domain support, transaction control, data quality analysis, and multi-domain event management. You can also use the platform to achieve compliance with established data governance rules. IBM Infosphere coordinates data right through the entire information lifecycle.
4. Amazon Web Services – Data Lakes and Analytics
This powerful and popular data management platform offers a suite of services with the solutions needed to build and manage a data lake for analytics. Also, the AWS-powered data lakes on the platform are designed to deal with the scale, agility, and flexibility needed to combine different types of data and analytics. It also creates greater approaches for deeper insights.
5. Google Cloud – Big Data analytics
Google Cloud – Big Data analytics is a data management solutions platform that offers a broad set of tools for cloud-based data management. It also excels in the role of a workflow manager to combine multiple components together. Some of them are BigQuery for tabular data storage, Cloud data transfer, and Cloud pub for data intake, Cloud BigTable for database storage, and ML Engine for advanced analysis via machine learning and artificial intelligence.
6. Dell Boomi
Dell Boomi is an enterprise-grade platform that offers versatile data management solutions. You can use the platform to leverage all the advantages of the cloud. Additionally, a key feature is its ease of use and superior productivity by combining all data sources and applications across a hybrid landscape. Dell Boomi also helps enrich and synchronize data through a centralized data hub. You can use the platform to transform manual processes into automated ones.
Lastly, Talend is a unique open platform designed for data integration, enterprise application integration, and data management. The key features include enhanced data quality, superior cloud storage, and easy access to Big Data across cloud and on-premise environments. Talend also helps transform data into business insights and helps companies become data driven by making real-time decisions.
To conclude, the proliferation of data is one of the key challenges organizations face, and that’s why they need the best data management tools to deal with this issue and many other allied ones. Additionally, companies find it challenging to comprehend and organize their vast volumes of data and how to use it. Using a high-quality data management tool, they can develop clear data management objectives and implement them to achieve fruitful outcomes.