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, […].

Data Management 246

Data Management Digital Transformation Digital Master Data Management 246

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Dataversity

JANUARY 14, 2021

However, with data protection laws and positive awareness across the world, firms have extended the formalization to data collection management. The post Five Data Governance Trends for Digital-Driven Business Outcomes in 2021 appeared first on DATAVERSITY. This, in fact, is the first […].

Data Governance 204

Data Governance Government Digital Data Quality 204

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

Digital Master Data Management Data Governance Data Quality 130

Astera

JANUARY 23, 2023

The global digital health market is expected to reach $456.9 Billion by 2026 , showing the crucial role of health data management in the industry. With the digitization of healthcare data, advanced analytics and reporting have taken center stage, facilitating improved decision-making in clinical care.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

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.

Digital Transformation 246

Digital Transformation Digital Data Management Data Warehouse 246

Dataversity

JANUARY 26, 2022

The importance of data has increased multifold as we step into 2022, with an emphasis on active Data Management and Data Governance. Furthermore, thanks to the introduction of new technology and tools, we are now able to automate labor-intensive data and privacy operations.

Data Governance 130

Data Governance Government Digital Data Management 130

Argon Digital

APRIL 6, 2023

Top Technology Challenges Faced by Fortune 1000 Businesses Cybersecurity | As businesses continue to digitize their operations, they become more susceptible to cyber-attacks. Data Management | Fortune 1000 businesses collect vast amounts of data, and managing that data can be a significant challenge.

Cybersecurity 52

Cybersecurity Digital Transformation Digital Data Quality 52

Smart Data Collective

AUGUST 21, 2019

Companies Need to Understand the importance of choosing the right big data management provider. When you are looking for a big data solution , it is important to choose a platform that accounts for the risks highlighted below. However, some companies try to handle their data management in-house or use subpar contractors.

E-Commerce 172

E-Commerce Big Data Data Quality Data Management 172

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.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

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

Smart Data Collective

SEPTEMBER 21, 2021

The ability of the organizations to manually extract the most out of their data results in being highly time and resource-consuming. . Advantages of data fabrication for data management. Data quality and governance. Best Data Fabric Tools for Enterprises – Tried and Tested.

Data Management 264

Data Management Government Data Quality Data Discovery 264

Tableau

AUGUST 23, 2021

As more businesses accelerate digital transformation initiatives, leaders are gaining a better understanding of the value of data, and want to scale analytics across their organization. Increase trust with integrated data management and centralized security. Data management improvements. Loreal Lynch.

Government 113

Government Procurement Enterprise Architecture Digital Transformation 113

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.

Data Security 52

Data Security Government Data Management Innovation 52

Dataversity

DECEMBER 11, 2020

Looking within the lenses of Data Management, data security, and privacy, the same holds true. The internet is awash with data that is […]. The post Why Data Privacy and Data Governance Will Be Even More Mission-Critical in 2021 appeared first on DATAVERSITY.

Data Governance 235

Data Governance Government Data Security Data Management 235

Tableau

AUGUST 23, 2021

As more businesses accelerate digital transformation initiatives, leaders are gaining a better understanding of the value of data, and want to scale analytics across their organization. Increase trust with integrated data management and centralized security. Data management improvements. Loreal Lynch.

Government 98

Government Procurement Enterprise Architecture Digital Transformation 98

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.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Smart Data Collective

APRIL 30, 2021

To begin with, you need protocols in place to ensure the data you input is free from any errors. Any protocol will also need to take account of different formats to ensure information collected on paper is just as accurate as anything collected digitally. Automated processes can be established to double-check the data.

Data Security 277

Data Security Healthcare Government Planning 277

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?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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 ?

Data Quality 52

Data Quality Documentation Data Warehouse Data Governance 52

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

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.

Innovation 130

Innovation Data Analytics Data Analytics Digital 130

Astera

FEBRUARY 2, 2024

Also, it minimizes the chances of errors that can occur during manual data entry, ensuring data integrity. In addition, automated form processing allows for seamless integration with existing systems, enabling efficient data management. Businesses can customize automated form processing to suit their specific needs.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

FEBRUARY 15, 2024

Paper-based forms are slowly being replaced by their digital counterparts, but filling out forms is still a big part of doing business. It’s typically the first step in a company’s data collection and facilitates multiple business functi o ns. As a result, you can have more confidence in your extracted data and its accuracy.

Documentation 52

Documentation Healthcare Government Finance 52

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.

Digital Transformation 98

Digital Transformation Digital Data Quality Data Governance 98

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

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.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52

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

Data Management Data Warehouse Data Governance Government 130

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

Data Management Data Warehouse Data Governance Government 130

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?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

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

Data Management Data Warehouse Data Governance Government 130

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.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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. It’s there, whether we use it or not.

Data Governance 52

Data Governance Government Data Requirement Vision 52

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. It’s there, whether we use it or not.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Actian

JULY 9, 2019

It makes sense in the era of digital-transformation initiatives that integration of IT systems and data sharing across companies have become high-priority strategic initiatives. Integration is great, but it raises a new set of issues about data quality, security and governance companies must now address.

Supply Chain 40

Supply Chain Digital Transformation Government Documentation 40

Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. Be open-minded about your data sources in this step – all departments in your company, sales, finance, IT, etc., Your Chance: Want to perform advanced data analysis with a few clicks?

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126