Much of a business's intrinsic value has to do with its data, and managing such delicate data is becoming more and more difficult with traditional data management methods. Now more than ever, the need for sustainable software solutions is important, as businesses that fail to evolve with changing times, stand the risk of quickly going under.
As entrepreneurs and managers look to increase business profit and broaden clientele, software solutions remain the key to unlocking a company's full potential.
While traditional data management methods often require data to be stored in a particular location, locked away with little to no access, cloud data management changes the narrative by providing options to store, secure, and enable governed access to data.
Efficient data management is not limited to storing and protecting various databases but also involves accessibility, as inaccessible data makes it impossible for data managers to develop innovative strategies and products based on historical data.
In order to understand what cloud data management is, it is important to understand the concept of data management itself.
Data management refers to the process and structure used by a business to manage and store large databases including private enterprise data, customer and product data, supply chain data, employee data, and even competitor data.
Traditionally, this involves gathering all datasets into a particular storage facility, usually on-premises, and implementing security systems to protect data from being compromised or worse, erased.
Cloud data management incorporates all these factors, except that the storage is not centralized; that is, data is stored in the cloud.
Cloud data management can be defined as a system of managing data in which data is stored across cloud platforms rather than on-premises storage or in addition to on-premises storage.
Since data is stored on an offsite server, cloud based management provides solutions for backup recovery, long-term data storage, professional support, and easier accessibility to users.
As with many other cloud technologies, the challenges with cloud data management reside in cybersecurity and the cost of a high-tech system. However, as is also common with software solutions, these challenges come with opportunities that present a much higher ROI.
For one, cloud technologies are constantly being improved to eliminate security issues and considering that on-premises storage can easily be compromised, machine learning proves to be more efficient in ensuring optimum data security.
Innovative security solutions such as encrypted data, controlled access rights, and defensible backup and recovery create multiple layers of security in cloud computing.
Also, while the cost of a cloud data management system may seem higher than traditional methods, cloud service provides major savings on costs that would arise from the loss or inaccessibility of data.
This lack of access results in an inability to carry out real-time analysis of data, hence, inefficient marketing campaigns with low returns, especially for a small business. Furthermore, several cloud service providers now offer more affordable data management systems.
Besides the more general benefits that come with using the public cloud, such as improved data quality and service scalability, cloud data management has the following benefits-
The value of big data can only be harnessed when it is accessible at the right time by the right users. Data managers, operators, executives, and other employees need real-time access to data to carry out in-depth analysis.
Cloud data management allows for governed access to data by team members, whenever, and wherever they need it.
Cloud management providers employ advanced security measures to protect data. 85% of cloud users are confident in their provider's ability to offer a secure environment, while 94% of businesses say they saw an improvement in security after implementing cloud solutions.
Also, the reduced risk in data loss contributes to secure data.
3. Backup and Recovery Solutions
Cloud data management ensures that all business data is automatically backed up, allowing for auto-recovery in the event of emergencies.
4. Reduced Environmental Impact
Due to the elimination of a single data warehouse, cloud storage enables companies to reduce their carbon footprint.
5. Automated Updates
With automated software improvement and updates, companies can continue to use their management platform with no need for downtime.
Cloud management and traditional data management are similar, but only to a certain extent. Cloud data management comes with added considerations, and these need to be well-managed to optimize the effectiveness of a cloud management strategy.
A business controls the major aspect of its data management, which is why it is necessary to implement the best practices in its management strategy. These include-
Before choosing and implementing a cloud management strategy, it is necessary to plan factors such as access rights, processing, data uses, and whether all or only segments of data will be moved to the cloud.
2. Maintaining Clean Data
Data must be kept clean, ensuring that errors in data entry such as duplicates and missing values are dealt with.
3. Regular Data Backup
For companies that prefer to host their own cloud for data management, data needs to be backed up as often as possible. Using a cloud provider eliminates this step as most provide automatic backup.
4. Efficient Data Governance
With cloud data management, a compliance policy cannot be avoided. Data governance remains an important step for a practicable management strategy.
In recent years, there has been a digital transformation in the business landscape with more businesses moving from on-premises data centers to cloud storage systems. This trend is expected to continue as rapidly changing times require companies to evolve and adapt to industry changes.
The most proven way to sustain longevity in any industry has been the ability to adapt to new developments in technology. With cloud management systems, businesses are provided with more flexibility, security, and reliability.
In order to ensure a cloud data management system is as effective as it should be, it is necessary to employ a proper plan, structure, data governance, and seamless integration in the system.