The state of database usage in various Industries now is changing day by day. In the future, it may be taking new directions in light of analytics and data-driven business management. In any case, the database had always remained the backbone of any business, not only for storage and retrieval of information but also for business decision making and business success. This article will discuss some ideal use cases in business scenarios and some real-time examples.
Database management is a crucial aspect of financial services, and when it comes to banking, finance, and other related verticals, database management is important.
For example, Capital One had migrated their database to the cloud by reducing the overall spent and masking the PCI. They succeeded in delivering the changes to the database on DevOps, which usually handles terabytes of customer data. It is also important to make sure the data is fully secured and protected in such a case. For the highly regulated environment as financial services or healthcare, it is important to have good data management practices, common structure, and compliance with the regulations.
Asset Management applications for the finance sector also deploy on-premise migrating to the cloud. They may be using effective methods to deal with regulatory risk management and trade analysis. SQL server may need to scale out as the demand of data requirement.
It is also important to have interoperable data stores for finance, gaming, telecom, and Ad-tech. High throughput with solid latency guidelines is also important for fraud detection in the finance industry. You should be able to deny or approve the transaction in a fraction of a second. We should also do micro-personalization for the website drawing on a custom page based on the current consumers. Personalization solutions in various industries like aviation, retail, and online gaming CX, and player engagement, etc., are important.
Most of the customer data are in the data-intensive Industries like insurance, finance, healthcare, retail services, etc. The next layer of top data handling divisions is the technology industry, energy, and utilities, education, retail, etc. So, there may be many cutting-edge use cases, and going through each with IoT may be interesting, as the real time data processing of sensors, RFID, and RSS feeds. Here we need to solve real-time risk control in financial verticals by checking out how the transactions and the users are connected, and the blacklisted entities are getting through which type of connections.
In e-commerce, personalized recommendations, by connecting the end uses categories from our products, and purchasing patterns for supply chain and logistics optimization to be done through connecting products, commercial platforms, manufacturers, and customers on a single platform. You may ask for support from reliable database remote administrators like RemoteDBA.com for more recommendations.
In a real-time use case, Maxwell Health, a global healthcare provider, uses Mongo DB as its database. It offers enterprise backup and recovery, which helps Maxwell meet the HIPPA (health information portability and accountability act) requirements. Before this,for implementation, Maxwell used to do manual scripting, which was insufficient and could not scale. Backup Windows was also not able to keep up with the storage costs as these were very high up with a lot of replicated data in the picture. Now, with this implementation, ongoing backup with a single-click recovery and restoration is made possible. This approach had also reduced backup storage costs by about 90%.
Interoperability with different HER, EMR, and other ERPs
There are also sensor devices in healthcare, and information from these will help offer a better patient experience by leveraging real-time data. Offering a better patient experience by leveraging real-time data is a welcoming change. On another standard use case, Stanley Healthcare offers a line of businesses with medical equipment for hospitals and tied up with a mass across locations. They put sensors on the patient badge in the emergency room to track medical records and monitor all the vital signs. It can also help track room availability, optimize patient flows, and see what best practices can optimize patient flow.
Healthcare practices also tend to work a lot with different other business verticals. They also support IoT platforms using Casandra, with which clinical trials can be accelerated using real-time sensors. There are also customers using different products for document search engines to commercial IoT platforms. In Healthcare, HIPPA-compliant demo and data to form a Healthcare clearinghouse are very important. There are also opportunities with every business data domain. These databases will help to accelerate clinical trials with the use of real-time sensors.
In the retail domain, we may use botsto engage the users and enable innovative digital conversations. There is knowledge of the graph behind artificial intelligence as Telia, a leading cable company in Sweden can map home features with devices and people in the household to support new functionality. Marriott Hotels also is doing real-time pricing across different properties by micro-optimizing their pricing model.
In a Real-world scenario, the problem we are always trying to solve is availability. As the digital services have become mission-critical now, proper database architecture is needed to eliminate any downtime and performance downtrends. Before you decide to use database management you need to be sure about its requirements. Only when you know this you can fully utilize it to their potential. There are many aspects of database that you must know and only then you can successfully implement it.
Similar to what we have discussed above, we can find several other instances, too, in business database management and ways to overcome these across the industries. However, the important thing is that the nature of data, storage practices, ways of analytics, etc. is changing largely over the last few years. In this decade, we will also witness an explosion in terms of data and many huge innovations trailing the same. Here, the enterprise database administrators and IT professionals need to be alert and updated about even the smallest degree of changes in standard database administration to adopt it.