Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. It provides a strategic framework to manage enterprise data with the highest standards of data quality , security, and accessibility.

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Astera

APRIL 29, 2024

Aligning the overarching data strategy. Ensuring ongoing monitoring and adaptation. Three important components of data governance strategy ensure an organization’s practical management of data assets. These components offer a comprehensive plan for maximizing the value of data assets.

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Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

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Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

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Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

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Astera

JUNE 14, 2023

Marketplace Model: Digital platforms like Alibaba and Amazon Business connect buyers and sellers for streamlined transactions. Aligning external and internal data formats. Handling inaccurate and abnormal data. Ensuring data quality and consistency. Ensuring data security and privacy.

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Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

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Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals.

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Astera

JULY 13, 2023

MDM ensures data consistency, reduces duplication, and enhances data quality across systems. It is particularly useful in scenarios where data integrity, data governance, and data quality are of utmost importance, such as customer data management, product information management, and regulatory compliance.

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GAVS Technology

AUGUST 31, 2021

Consequently, the industry witnessed a surge in the amount of patient data collected and stored. Despite the progress in digitalization of the healthcare system, the industry faces many challenges due to the lack of a standardized framework for seamless communication & interoperability between medical systems & software.

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Astera

DECEMBER 18, 2023

For example, by loading the transformed data into a data warehouse, banks can perform in-depth analysis, generate reports, and gain valuable insights. This exponential data growth has created significant demands on traditional ETL processes, which struggle to keep up with the speed and scale required for real-time insights.

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Astera

DECEMBER 18, 2023

For example, by loading the transformed data into a data warehouse, banks can perform in-depth analysis, generate reports, and gain valuable insights. This exponential data growth has created significant demands on traditional ETL processes, which struggle to keep up with the speed and scale required for real-time insights.

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CMW Lab Blog

NOVEMBER 9, 2023

In today’s digital age, the need for efficient document management is paramount. Understanding the Basics of Document Management Systems In the current digital world, where data is easily shared and papers are produced at a never-before-seen pace, effective document management is critical for companies and groups of all kinds.

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Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

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Insight Software

AUGUST 24, 2023

Mitigated Risk and Data Control: Finance teams can retain sensitive financial data on-premises while leveraging the cloud for less sensitive functions. This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation.

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