Tag: Data Governance Best Practices

enterprise data integration

7 Ways Enterprise Data Integration Enhances Business Value

data integrationIn today’s complex business world, companies across industries have started recognizing the true potential of data. Monetizing data has become essential for businesses to stay ahead of the curve. However, enterprises are facing critical challenges in today’s competitive business environment such as reshaping business operations, strategies, and sales on several fronts. This is where enterprise data integration services come to the rescue. 

It is high time that enterprises develop the ability to replicate and integrate their data. Businesses should accelerate the process of enterprise data integration with real-time and modern data integration solutions using analytics. Customer data processed in real-time is creating new opportunities. Enterprise data integration services can help businesses to reduce risk, improve operational efficiency, and identify new opportunities.

At Quantzig, we understand the difference that enterprise data integration solutions can create for companies. And to help enterprises excel in the competitive landscape, our team of experts have highlighted some of the crucial benefits of enterprise data integration that can help businesses to build a modern data architecture and reduce disruptions to production workloads.

Enterprise data management frameworks can help companies in leveraging data governance in real-time. Want to know how? Request a FREE proposal now!

What are the Benefits of Enterprise Data Integration?

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What is Data Governance and Why Does It Matter More than Ever for Businesses?

What is data governance and its importance to a company? 

Data Governance is a collection of practices and processes that help to ensure the formal management of data assets in an organization. It’s all about how the data collected is handled within the business. It is vital for organizations to plan how they use data so that it is handled consistently throughout the business. Not only does this ensure that data is safe and handled in compliance with regulations but also helps companies gain value from all the information at their fingertips thereby improving business performance. It requires organizations to understand and take stock of regulatory requirements, legal requirements, and business best practices which their data must adhere to. It is essential to establish rules and adopt automated and human processes to see that the rules are enforced.

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Why data governance matters

Data Sharing

Data governance provides companies the ease of data sharing. Data governance tools and resources prove to be highly useful in quickly finding and sharing files with users in your organization.

Data Reusability

The key idea behind implementing data governance is the need to reuse data several times. In most companies, there would be a lot of documents that need to be revised and reused like blueprints. Without this tool, your paperwork could be a mess with an unnecessary exchange of different versions of the same document. A data management tool enables companies to share and reuse the same data frequently and notify other members about the changes made.

Data Analytics

How can businesses understand if they are headed in the right direction of their progress chart? The answer is data analytics. Businesses that do not make data governance a part of their company structure often face difficulties in analyzing the data that they have at hand. Poor analysis of data consequently results in poor management level decisions. The data generated in an organization keeps on growing exponentially and hence it is important to analyze and organize data for better re-usability. Fast growing small businesses, especially, quickly outgrow manual analyses and soon find it hard to deal with larger amounts of data. Analyzing data conveniently also decreases the time taken to solve consumer queries.

Data Backup

Have you ever imagined the amount of damage a crashed computer hard drive can do to your business? If data is not backed up, this risk multiplies manifold. Data governance simplifies the storage and backup of data.

Data Security

Data is the most integral asset of an organization. Misuse of data or other such deliberate activities could give organizations serious legal woes at the worst or give you a bad name amongst clients at the least. Data governance tools provide data security from external as well as internal members with permission sharing and file hierarchy.

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3 Data Modeling Best Practices to Boost Your Business Results

To solidify important business decisions with big data, it is important to understand data modeling. With new probabilities for businesses to easily access and analyze their data to boost performance, data modeling techniques are rapidly changing too. More than arbitrarily organizing data relationships and structures, data modeling must connect with end-user questions and requirements, as well as provide guidance to help ensure the right data is being used in the proper way for the desired results. In this article, we have explained some of the data modeling best practices that businesses must follow to improve their outcomes and save time.

Data Modeling Best Practices

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Data Management Vs Data Governance: All You Need to Know

Today, it’s the successful use, understanding, and strategy of a company’s data that defines the success of businesses. Comprehending your data and identifying ways to implement it brings up a whole range of questions, both from the stakeholders and users. Such questions include: What is the procedure for storing data? How do we know it’s timely and accurate? Can we rely on it? Data management and data governance can efficiently answer these questions. Though both these terms are used interchangeably, they are entirely different programs. In this article, we aim at clearing all doubts you may have about data management and data governance.

What is Data Management?

Best seen as an IT program, the goal of data management is to control and organize the resources of your data so that it is reliable, accessible, and timely whenever users call on it. The IT team in your organization who is responsible for data management may trust on a customized, comprehensive collection of practices, processes, theories, and systems that gather, validate, organize, store, protect, process, and maintain data. If the data is not treated properly, it can become useless or corrupt. Data management encloses the entire lifecycle of a data asset. Data management comprises several related categories and fields and includes the following:

  • Data architecture
  • Data governance
  • Data warehousing
  • Data quality management
  • Metadata management
  • Business intelligence and analytics
  • Data security management

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What is Data Governance?

If data management is the logistics of data, then data governance can be considered to be a strategy to study them in a structured manner. Data governance is bigger and more holistic than data management as it is a crucial business program. The goal of data governance is to find tangible answers to how a company can prioritize and determine the financial benefits of data while mitigating the risks of poor data in the business. Data governRequest Proposalance helps in determining the use of data in specific scenarios.

To ensure the reliability, safety, and trustworthiness of all data, data governance requires the involvement of all stakeholders in the business. Determining your data governance plan includes various practices, processes, and theories. It is likely to overlap with several areas of data like compliance, security, usability, privacy, and integration. The ultimate goal is to determine a comprehensive way to control data assets so that the company can get the absolute and most desired value from the data.

Benefits of Data Governance

  • It increases the value of your company’s data
  • It helps in cutting costs within other subsets of data management and help in focusing on important areas to work on.
  • It assists in boosting the overall revenue of the enterprise
  • It aids in standardizing data systems, procedures and policies.
  • It ensures proper regulation and compliance procedures.
  • It promotes transparency and security

 


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