Dataversity

JANUARY 20, 2021

2020 saw a rapid acceleration in digital transformation, and this trend shows no sign of slowing down in 2021. The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […].

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Dataversity

APRIL 22, 2022

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

Data Management 130

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The BAWorld

MAY 25, 2024

We are in a digital age today, where everything we do is 100x easier compared to 20 years back. This is due to the digital landscape, where data plays a crucial role. Many people term data to be a radioactive substance rather than gold or oil. Data governance is quite critical due to privacy regulations and GenAI.

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Dataversity

FEBRUARY 12, 2021

Now on a trajectory towards increased regulation, the data gushers of yore are being tamed. Dedicated agencies such as Britain’s recently approved Digital Market Unit and the new California Privacy Protection Agency (“CalPPA”) will enforce compliance. Data will become trackable, […].

Digital 130

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Astera

MAY 30, 2024

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

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Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

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Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. It is a valuable tool for managing and tracking changes and impacts.

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Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A vital aspect of this strategy includes sharing data seamlessly.

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Astera

MAY 9, 2023

In this blog, we will explore the world of data stewardship in detail, including the role of a data steward and the importance of data stewardship. So, get ready to discover how data stewardship can make the digital world a safer and more trustworthy place. Establishing data quality standards.

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Astera

APRIL 4, 2024

Every digital interaction generates data. This data can provide invaluable insights and drive effective decision-making when managed effectively. However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth.

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Domo

JULY 8, 2021

Since the introduction of the cloud, a steady stream of companies has opted to move its most sensitive data from on-premises to remote storage, making it available from anywhere and in real time. Even the world’s most conservative companies have gotten in on the act, as digital has found an increasingly important role across industries.

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Astera

NOVEMBER 16, 2022

The rapid advancements in digitization and the consequent data explosion have forced businesses to look beyond traditional data infrastructures. As companies opt for off-premise solutions, cloud data migration is on the rise. Understand and assess potential data quality challenges in a hybrid cloud environment.

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Dataversity

AUGUST 4, 2023

In today’s interconnected world, businesses not only grapple with the management of vast amounts of data but also face the looming threat of illegal data concealed within their digital repositories. This proliferation of illegal data presents a range of risks and challenges that organizations must confront.

Digital 130

Digital Data Governance Data Quality Data Architecture 130

Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data Governance. Information.

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BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

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Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data Governance . Information.

Data Governance 52

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Astera

OCTOBER 31, 2023

Data preparation (also known as data prep ) is the process of standardizing data into the desired output. Therefore, many question the wisdom of asking highly skilled data scientists to do the equivalent of digital janitorial work. [Data Preparation Challenges via Statista ] Why is Data Preparation Necessary ?

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Dataversity

JANUARY 5, 2022

Disruption has been on an ongoing progressive cycle since the beginning of the digital era – but when the pandemic began in 2020, innovations began to progress at a record pace.

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

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The Data Administration Newsletter

JUNE 15, 2022

Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. Data, as always, is top of mind. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster.

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Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Types of metadata. Image by Astera.

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Astera

OCTOBER 10, 2023

One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another. Another benefit of data mapping in data integration is improved data quality management.

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Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

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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.

Data Warehouse 52

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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

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

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Astera

APRIL 10, 2023

From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. However, with monumental volumes of data come significant challenges, making big data integration essential in data management solutions.

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Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

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Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

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Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. Concurrency problems and incomplete transactions lead to data corruption.

Data Warehouse 52

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Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

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Astera

APRIL 23, 2024

A 2021 Educase report shows that 75% of surveyed institutions have started or are planning extensive digital transformation strategies to improve their data utilization. The importance of a strategic approach to data utilization in this context cannot be overstated.

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Insight Software

MARCH 4, 2024

Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends. The burden of manual data entry looms large, with endless spreadsheets consuming valuable time and resources. Want an extra layer of assurance?

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