Dataversity

MAY 3, 2024

However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated.

Digital Transformation 189

Digital Transformation Customer Experience Customer Experience Digital 189

Smart Data Collective

AUGUST 11, 2022

How Artificial Intelligence is Impacting Data Quality. Artificial intelligence has the potential to combat human error by taking up the tasking responsibilities associated with the analysis, drilling, and dissection of large volumes of data. Data quality is crucial in the age of artificial intelligence. Conclusion.

Artificial Intelligence 324

Artificial Intelligence Data Quality Digital Transformation Big Data 324

Analysts Corner

FEBRUARY 5, 2023

Data analysis and usage Data analysis statistics — as per Professor Patrick Wolfe, Executive Director of the University College of London’s Big Data Institute , just about 0.5% of all data is currently analyzed , and that percentage is decreasing as more data is collected. Food for thought and the way ahead!

Big Data 130

Big Data IBM Maintenance IBM cost Data Quality 130

Timo Elliott

JANUARY 5, 2022

They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process. “We Yves: Do you think people are already fully convinced about the real added value of digital transformation?

Digital Transformation 288

Digital Transformation Chief Data Officer Innovation Digital 288

Dataversity

AUGUST 7, 2023

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

Real-time Data 246

Real-time Data Data Management Digital Transformation Customer Experience 246

Dataversity

JANUARY 12, 2022

Technology generates more and more data, regulators need to exercise more and more control, digital transformation is advancing, and traditional firms are changing and need to respond quickly to the new demands of regulators – not only to avoid sanctions but also to guard their processes and avoid security breaches and inconsistencies in their information (..)

Digital Transformation 246

Digital Transformation Digital Data Governance Data Architecture 246

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

JUNE 22, 2023

In the manufacturing space, digital transformation has made data the oil in many machines – and much like oil, it needs refinement and enrichment. This can be carried out via Data Governance.

Data Governance 130

Data Governance Government Digital Transformation Digital 130

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

Dataversity

MARCH 27, 2023

As more and more businesses jump into the digital transformation bandwagon by leveraging cutting-edge tools and technologies, data security and privacy challenges have also increased. Even though customer privacy and security may seem interchangeable to most of us, both are distinctly separate yet interrelated concepts.

Data Security 130

Data Security Digital Transformation Digital Data Governance 130

Dataversity

JANUARY 6, 2023

Between the adoption of more sophisticated technologies and an ever-growing list of digital transformation initiatives, IT operations have become frustratingly complex. This is especially true when it comes to managing data flows and ensuring the precision of analytics insights.

Digital Transformation 130

Digital Transformation Digital Data Quality Data Governance 130

Dataversity

DECEMBER 15, 2020

In the past few months, Firms have accelerated digital transformation across multiple journeys of on-boarding and servicing customers. This has been possible by integrating and aggregating Multi-sources as well as taming the ‘Data Swamps’ to deliver quality data. Click to learn more about author Tejasvi Addagada.

Data Governance 130

Data Governance Government Digital Transformation Digital 130

Smart Data Collective

APRIL 29, 2020

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Microsoft Azure.

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

Argon Digital

APRIL 6, 2023

With data coming from various sources, it can be challenging to ensure data quality and security. Businesses must have a robust data and document management strategy in place to leverage the benefits of data without compromising security or privacy.

Cybersecurity 52

Cybersecurity Digital Transformation Digital Data Quality 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

Argon Digital

OCTOBER 24, 2023

With the digital transformation in full swing, companies worldwide are leveraging technology to automate financial analysis, fostering accuracy, efficiency, and strategic foresight in an increasingly competitive marketplace.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

Astera

FEBRUARY 2, 2024

Handwriting styles differ widely, and some can be difficult to decipher, leading to errors in data extraction. Source: NIST Data Set Inconsistent Data Quality: Forms may have missing or incomplete information, illegible text in case of scanned forms, or errors.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Timo Elliott

SEPTEMBER 20, 2019

Ultimately, the ROI of data is skyrocketing, because new technologies such as machine learning are allowing us to extract more value from data than ever before, and it’s easier and cheaper than ever to collect, store, and analyze.

Artificial Intelligence 172

Artificial Intelligence Data Quality Innovation Digital Transformation 172

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. release, we’re introducing some new data management capabilities. Loreal Lynch. Vice President, Product Marketing. Bronwen Boyd.

Government 113

Government Procurement Enterprise Architecture Digital Transformation 113

Domo

MARCH 12, 2021

As companies dig more deeply into their digital transformations, they’re finding more data that has value. But there’s another card in the data deck to play: commercializing data for revenue. If you have a chief digital officer, start there. Improve data quality. Collaborate with peers.

Digital Transformation 52

Digital Transformation Healthcare Digital Data Quality 52

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. release, we’re introducing some new data management capabilities. Loreal Lynch. Vice President, Product Marketing. Bronwen Boyd.

Government 98

Government Procurement Enterprise Architecture Digital Transformation 98

Domo

JULY 1, 2021

In a time when everyone is trying to realize the promise of digital transformation, many organizations are migrating their infrastructure to the cloud. One cloud may be designed using best practices for security, but another might cut corners, placing your sensitive data at risk. There’s also the issue of scale.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Astera

JANUARY 23, 2023

Source: Precedence Research The increased volumes of information, varying in type and velocity, present immense potential to derive value from this information and aid the digital transformation of the healthcare industry. Ensuring Data Quality Medical errors are the third leading reason for death in the US.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Actian

JULY 9, 2019

Today, most companies aren’t vertically integrated and, therefore, rely on a network of suppliers and distribution partners to transform raw materials into the finished goods and services customers consume. 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

Tableau

JANUARY 27, 2021

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

Business Intelligence 70

Business Intelligence Business Intelligence Government Visualization 70

Tableau

JANUARY 27, 2021

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 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. Click to learn more about author Balaji Ganesan.

Data Governance 235

Data Governance Government Data Security Data Management 235

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

Dataversity

AUGUST 9, 2022

“Every company has big data in its future, and every company will eventually be in the data business.” The evolution of technology and all things digital has dropped more information than ever about human needs, preferences, and […]. That is according to Thomas H.

Big Data 130

Big Data Innovation Digital Digital Transformation 130

Dataversity

MARCH 18, 2022

Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]. The post What Data Practitioners Need to Know (and Do) About Common Language appeared first on DATAVERSITY. Weinberg [1] In March 2019, one of us (Thomas C.

Chief Data Officer 130

Chief Data Officer Digital Transformation Data Governance Data Quality 130

The Data Administration Newsletter

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance Government Information Technology Information Technology 81

Dataversity

FEBRUARY 22, 2021

Click to learn more about author Emily Washington. Forty-two percent of the U.S. workforce is working from home full-time, according to the Stanford Institute for Economic Policy Research — almost twice as many employees as this time last year.

Digital Transformation 130

Digital Transformation Data Quality Data Governance Data Architecture 130

Smart Data Collective

OCTOBER 20, 2020

Database Management Practices for a Sound Big Data Strategy. It is difficult for businesses to not consider the countless benefits of big data. Sure enough, there’s more to big data than just having the right tools for handling them. More importantly, you need to cleanse your SQL server of old code. Adopt Automation.

Big Data 249

Big Data Digital Transformation Data Analytics Data Analytics 249

Timo Elliott

JANUARY 22, 2019

But it magnifies any existing problems with data quality and data bias and poses unprecedented challenges to privacy and ethics. Comprehensive governance and data transparency policies are essential. Understanding and optimizing the customer experience is the bedrock of successful digital transformation.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Data Governance Government 130