What is management data?

Data management is the practice of collecting, organizing, protecting, and storing an organization's data so it can be analyzed for business decisions. As organizations create and consume data at unprecedented rates, data management solutions become essential for making sense of the vast quantities of data.

tableau.com - What Is Data Management? Importance & Challenges | Tableau

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Data management continues to evolve to address challenges

Because data management plays a crucial role in today’s digital economy, it’s important that systems continue to evolve to meet your organization’s data needs. Traditional data management processes make it difficult to scale capabilities without compromising governance or security. Modern data management software must address several challenges to ensure trusted data can be found.

Challenge 1: Increased data volumes

Every department within your organization has access to diverse types of data and specific needs to maximize its value. Traditional models require IT to prepare the data for each use case and then maintain the databases or files. As more data accumulates, it’s easy for an organization to become unaware of what data it has, where the data is, and how to use it.

Challenge 2: New roles for analytics

As your organization increasingly relies on data-driven decision-making, more of your people are asked to access and analyze data. When analytics falls outside a person’s skill set, understanding naming conventions, complex data structures, and databases can be a challenge. If it takes too much time or effort to convert the data, analysis won’t happen and the potential value of that data is diminished or lost.

Challenge 3: Compliance requirements

Constantly changing compliance requirements make it a challenge to ensure people are using the right data. An organization needs its people to quickly understand what data they should or should not be using—including how and what personally identifiable information (PII) is ingested, tracked, and monitored for compliance and privacy regulations.

Establish data management best practices

Implementing best practices can help your organization address some data management challenges and reap the benefits. Get the most out of your data with an effective data management strategy.

1. Clearly identify your business goals

Just like in every business practice, the first step is identifying your organization’s goals. Setting goals will help determine the process for collecting, storing, managing, cleaning, and analyzing data. Clearly defined business objectives ensure you’re only keeping and organizing data relevant for decision-making and prevent your data management software from becoming overcrowded and unmanageable.

2. Focus on the quality of data

You set up a data management system to provide your organization with reliable data, so put the processes in place to improve the quality of that data. First create goals to streamline your data collection and storage, but make sure to complete regular checks for accuracy so data does not become outdated or stale in any way that can negatively impact analytics. These processes should also identify incorrect or inconsistent formatting, spelling errors, and other errors that will impact results. Training team members on the proper process for inputting data and setting up data prep automation is another way to ensure data is correct from the beginning.

3. Allow the right people to access the data

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Having quality data is half the battle. You also need to make sure the right people can access that data when and where they need it. Instead of issuing blanket rules for everyone in the company, it is often smart to set up different levels of permissions so each person can access the relevant data to do their jobs. It can be difficult to find the right balance between convenience and security, but if your team cannot access the data they need efficiently, it can lead to a loss of time and money.

4. Prioritize data security

Data should be appropriately accessible inside your organization, but you must put protections in place to keep your data secure from outsiders. Train your team members on how to handle data properly, and ensure your processes meet compliance requirements. Be prepared for the worst-case scenario and have a strategy in place for handling a potential breach. Finding the right data management software can help keep your data secure and safe.

Find effective data management platform

An effective data management solution can help you achieve each of these best practices. Tableau’s approach to data management is unique from traditional solutions in that it surfaces metadata and integrates management processes into the Tableau analytics platform where people are already spending their time in analysis. With the Tableau Data Management Add-on, you get a solution that’s designed with multiple people in mind. It also remains heavily focused on analytics so people get the information they need when and where they need it—directly in the flow of their analysis. Plus, the visual interface provides a better way to interact with your data, making the process faster and easier. Learn more about Tableau’s approach to data management and how you can increase visibility, reliability, security, and scalability in your data management processes.

tableau.com - What Is Data Management? Importance & Challenges | Tableau

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