For many business managers, data management that is not well planned and executed can be a daunting task to ensure ease of access, consistent reliability, and timeliness of information for end-users. This is a dynamic administrative process that requires constant updates in the way you acquire, verify, organize, store, process, and protect the data that you need for your business.
Since businesses are creating and using data at incredible rates, the use of a dependable data management program is the first step to meet the needs of your business. You need to ensure that the data software you choose is suitable or your business model particularly if you manage a lot of data in your business.
If you are unsure about how to go about it, no worries. This article summaries four (4) key points that you can use to manage data in 2020.
- The Big Query
Over the years, individuals and businesses have been using Excel to capture and manage data. While this method is tedious, we’ve appreciated it all along because we did not have many options available. However, thanks to the dynamic nature of human innovations, we keep on seeing new, better products.
The Big Query is a relatively new method of data management. In this method, you can use the Standard Query Language (SQL) to perform any task to process, manipulate, or make sense of your data. Whatever you want to do with your data, it is all possible now. In fact, you can easily learn BigQuery and analyze your data with lightning speed, all by yourself.
The popularity of BigQuery certainly says a lot about it. For instance, BigQuery has several advantages over many other methods of data management, such as:
- Fast to set up: You don’t spend hours setting up a BigQuery data management software. Compared to other software, this is relatively easy to set up, so this makes it accessible.
- Easy to Use: Whether you are a computer wizard or not, you don’t have to worry. Another great advantage of BigQuery is that it is easy to use. It has a straightforward process of building your own data center before you even begin to manipulate your data.
- Scaling is seamless: There is no challenge with scaling data. The BigQuery stores data from computing the same. It allows elastic scaling, yet the data still makes sense. You will have real-time analytics and at a high rate of performance.
- Accelerates insights: You will have a commanding view of your data. With tools such as Data Studio and Tableau, you will analyze your data without the complexity of understanding required by other programs. In fact, you can use these tools and many others to make simple, understandable reports from the breakdown of your data.
- Protects your data: If you do not have the confidence that your data is safe, nothing can make you happier than BigQuery. Although it’s always advisable to have a disaster recovery plan when working with software, BigQuery keeps your data’s integrity very well. With no worries about lost or spoilt data, it eliminates the need for you to even have a disaster recovery plan.
- Affordable Approaches: I did not say cheap, which can also mean poor quality. On the other hand, BigQuery is relatively inexpensive, particularly when you consider what you can do with it for your business. For instance, you’ll not pay anything to copy and export data. While the charges for storage and streaming alerts are separate, these are affordable.
- Artificial Intelligence Data Management
The most valued aspect of marketing in businesses is understanding your consumer behaviors. There is no better way of getting an insight into this than using Artificial Intelligence (AI). You can use AI to collect data and, at the same time, to protect it.
You may collect data from several touchpoints: mobile devices, websites, and other devices powered by the internet of things (IoT). Then your IT department can protect your database using AI. Meanwhile, here are the main benefits associated with AI:
- Reduced human error: Since previously collected information used by the application uses a set of the algorithm, the degree of accuracy is very high when compared to human procedures that are prone to errors.
- Reduces risks to humans: With AI robots, many activities that would be risky for humans can be safely done by robots.
- Always available: While humans get tired and require rest and sleep, AI systems can function 24/7/365.
- Augmented Data Management
An augmented data management system uses AI and machine learning to ensure data quality by continuous and accurate data cleansing, profiling, and even data linking processes. If you want to clarify the integrity and the value of the data you have in your organization, then this is the best method for you.
For instance, you can understand and use graphs to see which data is related to investment. You can use this method to see whether or not your investment management database is relevant to your sources of data.
At the same time, when you feed new data assets into the system, it is compared for asset affinities to existing data or use cases. At the end of the process, an alert is sent to other automated systems in your organization that a new set of data is available. Because of its simplicity, you can immediately employ this new way of data management. Furthermore, here are the main benefits when you use the augmented data management system:
- Changes passive metadata to active. In financial management, this is important to understand how a trading system is performing.
- Alerts system engineers to potential errors. This involves instantaneous messages that alert the need for qualified human intervention to prevent further issues.
- Automates specific data engineering tasks. This minimizes the need for human processes and human errors.
- Creates automated system responses to errors thereby saving time needed to fix faults
- Persistent Memory Servers
For massive bodies of data particularly those relating to marketing, cloud-based servers are beginning to become less efficiently functional. Persistent memory servers are replacing these. Persistent memory servers are now more often used when you subcontract third-party companies to manage your business data.
Persistent memory servers will allow you to analyze your data in real-time using minimal bandwidth. You can analyze tons of data in a relatively short time. Persistent memory server is associated with the following benefits:
- Their flash storage increases throughput.
- They are relatively cheaper compared to DRAM.
- They give companies better ways to analyze cyber threats.
- They allow financial trading transactions to be completed much faster.
- They provide real-time access to data to allow ultrafast access to large datasets.
- They include cacheable PMEM over CPU.
- They are better able to resists power interruptions.
Takeaways
With these efficient and easy-to-operate software programs, you can now bid farewell to all the stress of data management and manage your data without any external help. You will not be overwhelmed by large amounts of data so that you can manage your business more effectively. Remember, the more efficiently you manage your data, the more time you’ll have to grow your business. The four-point summary provided in this article should help you off to a good start towards better data management.