ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Today’s business intelligence market offers many options! In this, the second of the article series, we delve into data governance and separate fact from fiction.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance. In this article series, entitled ‘Debunking Common Business Intelligence Myths’ , we will debunk the market myths in the BI tools market, and help you sort through the confusion to make the right choice for your business.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 7, 2016

Empower business users by letting them add new data, change data operations, change summary operations, change visualization and layout and even design dashboards, reports and cross tabs without programming skills.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

SEPTEMBER 7, 2016

Empower business users by letting them add new data, change data operations, change summary operations, change visualization and layout and even design dashboards, reports and cross tabs without programming skills.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

SEPTEMBER 7, 2016

This article series is entitled ‘Debunking Common Business Intelligence Myths’ The information presented in this, the seventh article of the series, summarizes the myths and cuts through the confusion to help you choose the right BI tool for your business and business users. Debunking Common Business Intelligence Myths.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

DECEMBER 5, 2016

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’ , we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Will it take weeks, months or years to complete the implementation?

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’ , we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Will it take weeks, months or years to complete the implementation?

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’ , we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Will it take weeks, months or years to complete the implementation?

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

AUGUST 16, 2016

This seven-article series is entitled ‘Debunking Common Business Intelligence Myths’ , and it is designed to help you sort through the buzz, the market myths, and the confusion to make the right choice for your business.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

ElegantJ BI

AUGUST 16, 2016

This seven-article series is entitled ‘Debunking Common Business Intelligence Myths’ , and it is designed to help you sort through the buzz, the market myths, and the confusion to make the right choice for your business.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

ElegantJ BI

AUGUST 16, 2016

This seven-article series is entitled ‘Debunking Common Business Intelligence Myths’ , and it is designed to help you sort through the buzz, the market myths, and the confusion to make the right choice for your business. Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Dataversity

MARCH 21, 2022

If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences. This article will highlight the differences between each and how […].

Data Warehouse 246

Data Warehouse Data Management Data Governance Data Discovery 246

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. The problem data fabrics are designed to solve.

Chief Data Officer 77

Chief Data Officer Government Data Discovery Data Architecture 77

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)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. The problem data fabrics are designed to solve.

Chief Data Officer 71

Chief Data Officer Government Data Discovery Data Architecture 71

GAVS Technology

JUNE 2, 2021

As it is key for the enterprise data management strategy, let us understand more about the details of data fabric in this article. What is Data Fabric? Today’s enterprise data stores and data volumes are growing rapidly. Data Lakes. Data Fabric Players.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Dataversity

SEPTEMBER 20, 2021

Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel.

Digital 246

Digital Data Governance Data Discovery Data Quality 246

Dataversity

JUNE 13, 2022

When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions.

Data Governance 130

Data Governance Data Discovery Data Quality Data Architecture 130

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. Click to learn more about author Tejasvi Addagada.

Business Intelligence 147

Business Intelligence Business Intelligence Data Modelling Data Governance 147

Dataversity

AUGUST 2, 2021

Enterprise organizations evaluate several factors when choosing a data migration vendor. The post Discovery and Reporting: The Bread and Butter of Data Migration appeared first on DATAVERSITY. Click to learn more about author Daniel Esposito.

Data Discovery 130

Data Discovery Data Governance Data Quality Government 130

Dataversity

APRIL 7, 2021

It’s time-consuming – and often very costly – for enterprises to perform a network-attached storage (NAS) or object data migration. As moving unstructured data has proliferated over the past decade, with as much as 90% of all data defined as unstructured data, the task has become increasingly […].

Data Governance 130

Data Governance Data Discovery Data Quality Government 130

Data Pine

DECEMBER 11, 2019

With a new year on the horizon, in this article, we’ll explore 10 essential SaaS trends that will stand out in 2020. This means that your business’s data is available and secure regardless of a data breach or system failure. 2019 was a breakthrough year for the SaaS world in many ways.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Tableau

AUGUST 6, 2021

Editor's note: This article originally appeared in Forbes. Establishing a Data Culture—one in which teams value, practice, and encourage using data to make decisions—is a key step toward building a data-driven organization that thrives in today’s dynamic environment. . Promoting data discovery and access.

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

Tableau

AUGUST 6, 2021

Editor's note: This article originally appeared in Forbes. Establishing a Data Culture—one in which teams value, practice, and encourage using data to make decisions—is a key step toward building a data-driven organization that thrives in today’s dynamic environment. Promoting data discovery and access.

Cloud Computing 52

Cloud Computing Government Supply Chain Data Governance 52

Dataversity

NOVEMBER 27, 2023

However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up […] The post 7 Data Democratization Trends to Watch appeared first on DATAVERSITY.

Data Governance 167

Data Governance Data Discovery Data Quality Data Security 167

Insight Software

OCTOBER 24, 2022

In this article, we’ll address the various ways that software companies (including SaaS vendors) can build analytics into their products. Although data discovery applications have their place, they’re not designed to seamlessly integrate with an existing application’s workflows. Download Now.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52