Home Business Evaluating the Data Management Best Practices You Need

Evaluating the Data Management Best Practices You Need

by gbaf mag

The big question here: How well does your data fit into today’s business models? An oft-ignored fact is that you first have to be good at data management before you can do truly exciting things with analytics. It’s all about the relationships between the data and the people who use it. Data science, that is all.

Best Practices. Of course, the best practice for data management is to adopt best practices yourself. That means having a master data management system up and running so that your entire data needs are managed. However, it’s worth noting that “best practices” are not static. Rather, they’re always evolving as customer demands change. That means that the best practices you adopt today may not be as effective two years from now, or even one month from now…but it will still reflect your company’s core strengths and weaknesses.

The Data Tier. As mentioned above, this is a critical piece of any data management system. In simple terms, the data tier consists of the core functionality that drives your CRM strategy and delivers your overall ROI. Ideally, this data management system will be coupled with a data service tier which serves basic functionality, like batch processing or analytical processing. Most enterprises however don’t have this core functionality and instead rely on their own internal databases (typically contained in a data warehouse) or third-party integrations to deliver customer data across their data tiers.

Data Schemes. There are a few core benefits of implementing a data management strategy that you should always consider. First off, it allows you to work together effectively and efficiently with your data-protection, recovery, and analytics teams. Work together in a way that makes sense for your organization and its various function departments – not just the people who “manage” the system. Work together in a way that makes sense for your business model as well, and ensure that all members of your organization to get involved in the process from the very beginning.

Rental Capability. Finally, but certainly not least, comes the rent-a-cloud or pay-as-you-go data management option. This is usually best suited for larger organizations and especially those whose entire business structure is spread over several locations (rural or urban). You can rent an entire cloud server consisting of multiple low-cost locations and handle your data management needs from there. Alternatively, a pay-as-you-go model lets you use only a single data storage server and enjoy a flexible, pay as you go choice. Both approaches make it easy to manage your environment while freeing up your organization’s data storage capacity for other priorities.

Compliance Requirements. No matter how well you use your own internal data management system, there will be times when you have to comply with outside regulations. For example, data management rules usually restrict the number of servers you can keep on a single network, or the types of devices you can attach to a single network (e.g., USB drives and smart cards). Similarly, you may have to adhere to additional regulations specific to your industry or company and certain regions. These guidelines are usually implemented by individual service providers and your analytics provider, so it pays to shop around for the best pricing on compliance requirements and the support you’ll get in the form of training if you choose to implement them on your own.

Scalability and Performance. Just as important as it is to make sure your data management system meets all of your current and future needs, it is equally important to find a solution that is capable of scaling up as your organization expands. Today’s most popular data storage tiers are much more affordable than they were just a few years ago, and the availability of consolidation services means that organizations need only purchase one application and infrastructure manager to serve a variety of purposes. Furthermore, it is becoming common practice for IT administrators to make changes to their desktop systems to optimize data center utilization, allowing data storage costs to continue to decline while there are fewer investments necessary to upgrade equipment. The key here is to ensure that your solution is scalable so that your organizations need never increase its data storage tiers.

There are many other factors involved in determining your organizations best practices and these include: implementation time, cost, ease of deployment, ease of training, and the ability to integrate seamlessly into your current IT infrastructure. As you can see, there are a wide variety of factors to take into account when you are evaluating the data management best practices and the solutions provided by your analytics provider. If you want to achieve maximum performance and minimize expense, make sure you have a data management team in place that will help you evaluate your needs and then create a software implementation plan. Don’t delay – You need to begin evaluating your analytics solutions now!


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