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Data Management 101:

All the Basics You Need to Know

Do you struggle with data management? Do you feel like no matter how hard you try, it seems to be slipping through your fingers? You’re not alone. Data management is one of the most difficult things for small businesses to keep up with.  In this article, you will learn about the basics that you need to know about data management. From what it is and why it’s important, to how easy or difficult it can be based on your business needs.

What Is Data Management?

There are as many definitions of data management as there are articles dedicated to the subject. Data management is defined as the development and implementation of information lifecycle architectures, policies, techniques, and processes to effectively manage an organization’s information requirements.

The goal of data management is to maintain the usefulness and practicality of data. The most basic level of data management ensures that an organization’s complete body of data is correct, current, consistent, readily accessible, and safely stored. Data management is beneficial for your mental health because:

  • You can stop stressing about your data management problems
  • Data management made easy
  • The perfect solution for any organization readily available
  • Stop worrying about the future of data management for your company

The cause of data redundancy, inefficiency, and inconsistent results is the inability to capture all transactions. This process not only eliminates duplication and standardizes formats but also establishes the groundwork for data analytics. Data management is critical for conducting analysis, especially when it comes to determining what’s accurate or incorrect within a system. Benefits of data management:

  • Simplifies data management
  • Reduces errors and improve efficiency
  • Enables information to flow seamlessly through the company
  • Ensures accuracy in data analytics

What Does A Full Data Management Model Entail?

If any one of these parts is absent from a whole data management paradigm, some aspect of data management will be difficult, if not completely destroyed. The entire data structure becomes suspicious without data quality assurance, and analytics become meaningless.

  • Data governance is an essential part of any organization’s operations. It ensures the availability, usability, and consistency with data integrity- ensuring its security also falls into place.
  • Data modeling and design encompass data analytics as well as the development, testing, and upkeep of analytics systems.
  • Data Architecture is the entire structure of an organization’s data and how it fits into a larger corporate architecture. It can be difficult to juggle all aspects, but there are some benefits when you do!
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  • The way we store and handle data is changing, but the actual hardware has been around for centuries. A lot of people think computers are what drive our world forward; they do so much more than just that one function! Data storage allows us to create new worlds with code – teaching artificial intelligence how everything works in order for machines can learn on their own too.
  • Data security is a major concern for businesses, as it refers to all aspects of safeguarding data and ensuring only authorized users have access.
  • Data integration and interoperability refer to the process of transforming data into a structured format and the labor required to maintain it.
  • The way in which documents and content are created has changed drastically. It used to be that all of this unstructured data was simply hard to organize, but now we’re able to store it on databases for easier search capabilities with structured information too!
  • The practice of managing data in such a way that it can be shared and accessed by any user, with no errors due to duplicate information or missing values is known as a reference and master data.
  • Data warehousing is the process of storing all your company’s data in one place. This includes customer information, product inventories, and sales records for analysis; it also enables decision-making by corporate officers who need this type of knowledge before they can make big decisions that could affect their entire operation!
  • Metadata is the information we assign to our digital files. It encompasses all aspects of metadata creation, collection, and management so that it can be used effectively in a variety of applications such as cataloging or searching for content on your database.
  • Data quality is crucial to the success of any business. Data must be monitored for errors, data sources checked periodically to make sure they still exist, and provide high-quality information about their products or services offerings – with low-quality items filtered away before they can affect your company’s bottom line!

If you’re going to be managing data, then it is important that you have a solid understanding of the basics. Give us a call today if you need help or would like more information about the basics of data management!

Do You Need a Data Management Team You Can Trust?

Cantrell’s Information Technologies has been providing Data Management systems and cybersecurity to business owners throughout the San Francisco Bay Area for over 20 years. We are dedicated to the efficacy and vitality of your data. There are currently more endpoint devices than people in most companies, so it’s important to understand how many of those devices are accessing data and what they’re doing with that information. We provide multiple layers of security for HIPAA, FINRA, and PCI compliance as well as training against IT threats when it comes to computer viruses. Many of our customers initially work with us to help them improve the way they store, access, and protect their critical business data from cybercriminals. We also help them move or expand their offices. We support the needs of our East Bay customers including businesses located in Concord, Martinez, Walnut Creek, Lafayette, Moraga, Orinda, and Pleasant Hill. Contact us today for your free consultation!

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