Operational Data Stores are continually gaining traction and have yet to reach their peak because of the many strategies that can be implemented with this technology. Their architecture makes Operational Data Store solutions versatile to various use cases, and data scientists are still finding more applications for these systems.
As enterprises move towards digital transformation, you might be wondering about the current Operational Data Store strategies that are currently being implemented. Learn more about these strategies and the value it adds to enterprise data solutions.
Scaling data operations with Operational Data Stores
As a company grows, its data management procedures change, and if there is exponential growth, to avoid overcrowding the system, a more streamlined approach is due. When scaling a business, making parallel advancements in data management is crucial for maximum efficiency.
Since the data stored on company servers and other locations might be a little too heavy for traditional database retrieval mechanisms, ODS systems could be the answer.
Operational Data Stores allow companies to scale their operations significantly without experiencing high latency. This data management system filters data and only stores the operational insights needed at that time for application operation.
As a result, even with large data sets, only a portion is available instantly, which reduces the loading period significantly on applications and computer programs. All of this allows easier scalability without compromising the user experience.
Effectively using ODS technologies
Operational Data Stores are not cut out for every type of data management problem. Instead, it is aimed at bridging the gap of having access to the most current insights. It serves no purpose using ODS systems to try and archive data that might be needed down the line. In that case, warehousing the data is a much more viable and suitable option.
Even when storing current insights, there are some operational data store best practices to get the best out of this system. For example, operational data stores work best when there is more than one source of data being used. When there is only one, directly tying the application with the data store using an API might be the best option. Otherwise, ODS would just be a redundant data access layer that makes app development unnecessarily complex.
Using ODS solutions in eCommerce
E-Commerce is one of the best industries to implement Operational Data Stores in because of its complexity. Some e-commerce platforms have multiple data sources, especially if the platform uses real-time figures. For example, some international eCommerce platforms need the latest currency exchange rates to localize the pricing for customers. At the same time, the platform needs to retrieve client data from its database and so forth.
Not to mention the data collected from IT support services to keep the platform operational. There is a lot of data that is processed by eCommerce platforms, and the solution to hasten the loading time of these platforms is using ODS solutions. Operational data stores will aggregate the data and filter the current information and make it rapidly available to the platform, which improves the loading time and overall user experience.
Integrating ODS systems with BI tools
Integrating ODS systems with BI tools is one of the most beneficial decisions you can make, especially when you’re running a large corporation. Large organizations have a lot of moving pieces that translate to irrelevant data that might disturb your analysis. If you are focused on the current operational levels of the organization, historical data that is redundant will lead to inaccurate analysis.
To solve this problem, carefully planning and executing an ODS-based system integration with real-time BI tools can make a difference. Integrating these two aspects of data analysis can filter the most relevant data required to make real-time decisions. Integrating these two systems is not as complex as it might sound, especially if you are using cloud-based solutions. You can configure this integration yourself and even customize the data being collected to streamline business intelligence reporting.
Minimizing costs with cloud ODS solutions
Using cloud-based ODS solutions is an excellent strategy to reduce complexities and, most importantly, minimize costs. The costs involved in setting up an effective data management system are very high. Therefore, using a readily available solution that comes with all the features needed off-shelf eliminates the need to hire data management professionals. Since everything will be available on the cloud, you also do not need to have extensive knowledge about data management solutions.
You can then integrate the system yourself, and in the long run, there are more potential savings. Cloud-based solutions eliminate the costs of maintaining servers and data storage locations since they are not owned by you. Instead, the data is stored in a reliable storage location with the latest technologies that reduce latency. All these cost savings can lead to higher reinvestment figures for the company and higher revenue margins.
Finding the perfect SaaS provider
There are many different ODS providers that offer this service as an off-shelf cloud-based SaaS solution that does not require any data management system experience. However, not all these service providers offer the best value for your money. How can you find the perfect SaaS provider?
First of all, ascertain whether or not they own data storage locations and, if not, find out which company they have partnered with. Finding this out can help you determine whether or not the data storage systems are reliable. Also, ascertain the integration capabilities of the ODS system with APIs, data warehouses, and so forth. This will help you see how scalable that ODS system is.
Operational data solutions are a one-of-a-kind invention that simplifies the lives of application developers, especially when they are available on the cloud. There are various strategies to implement this technology, such as integrating it with eCommerce platforms.
Alternatively, using ODS technologies in conjunction with Business Intelligence tools can result in improved real-time analytics. That will enable real-time business decision-making based on the most current insights leading to the best decisions for the business.