Top Checklist for Enterprise Data Management 2020

Enterprise Data management is a tremendous novel interest among businesses, mainly because of the dawn of the Big Data era. Some organizations are still not aware of the importance of data and how to manage it to survive in today’s digital world. A practice to organize and maintain data processes to meet constant information lifecycle needs is known as data management. Effective data management ensures minimized potential errors, increased productivity, and better decision making. How can you ensure that your organization does not fall in line with the companies making any sorts of mistakes?

It is mandatory to understand the timeline and history of enterprise data management if you want to make intelligent decisions with new technologies and to avoid reiterating mistakes of the past. Start with active data management today!

Check out our top checklist for enterprise data management for your organization in 2020.

1. Know Your Data In Enterprise Data Management

Massive data growth is not just a technical challenge but a strategic challenge that can impact your business. Also, unstructured data that is poorly managed or lost become major compliance and legal risk to the company. The challenge you face is to understand what data you have, data needs, and the place it is located.

Enterprises need an in-depth file system and hardware information to manage their IT business processes. Data analysis across all your systems will provide a visualization of the name, type, age, and access behaviors of files to identify your data workloads. You will need powerful data analytics to know what you have to convert your data from a risk to a strategic asset.

2. Enhance Your Data Environment With Hybrid Cloud

Now, as you have understood your data environment, a hybrid cloud strategy can allow data workloads to move between private and public clouds flexibly as per demands, data needs, and changing costs. This gives businesses more options for data deployment, access to data analytics to maximize your investment greater flexibility and usage.

With skilled planning and an organized approach, a hybrid cloud can deliver on-demand flexibility, empower applications with new capabilities and legacy systems. Additionally, it can also become a catalyst for digital transformation. As a result, you get an elastic and responsive infrastructure that can quickly adapt to the changing business demands.

3. Let Your Metadata Work For You

The first step is to find storage solutions for your data, but what if you want to extract the value from your data sets through an in-depth analysis? The solution is to add custom metadata tags to your datasets as it will help prepare yourself for that day. You will end up having a dataset without context and little value without metadata to provide provenance.

You can add your custom tags to these data sets by running an integrated file scan with a repository to store all the details on the analyzed file data. This will provide an improved set of metadata from which you can gain insights through reports generated from the metadata repositories. You can now identify and segregate a collection of data using metadata tags to create custom reports of your data, enabling machine learning and artificial intelligence for an in-depth analysis of your data. This results in the conversion of your data into value and makes your metadata work for you.

4. Have a Complete Control Of Your Data

Digital enterprises are investing in creating, storing, protecting, and maintaining their data. Data sitting idle in storage indeed has no real value; the analysis and business insights gained from data make it worth the price. However, the speed and efficiency in to access and obtain that data are more significant since it significantly impacts the value of the data.

The ability to access data faster increases productivity and enables you to respond to business requirements more quickly, which translates into higher profits. If you have a solution that allows you to store your files economically, in native format, and without vendor lock-in, then you can have complete control of your data while it is accessible when you need it.

5. Data Management & Your Business Decisions

When data streams in from multiple sources, leveraging the full value of your data can be complicated but, at the same time, rewarding too. With a standard process in place that ensures your data is accurate, secure, and usable, you can quickly generate valuable data-driven insights. This starts with data governance, which provides the guidelines for data security, accessibility shared among authorized people.

Secondly, It is vital to ensure high data quality before data integration. It is necessary to have clean data without duplications and redundancy when preparing your structured and unstructured data for analysis. Last but not least, you need a security policy in place to protect your data and prevent data breaches. With these measures to ensure your data is accurate, accessible, and secure, you will realize the power of being data-driven and being able to make business decisions with confidence.

Enterprise Data Management Wrap-up!

Data management plays a vital role in productivity and efficiency, but not easy for companies to implement it. Before you decide on data management for your company, consider Zmanda.

Zmanda, a comprehensive data backup, and recovery solution will help you backup your vital data to any storage media or Cloud. It combines fast installation, simplified management, enterprise-class functionality, and low-cost subscription fees.

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