ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Self-Serve Data Prep in Action. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Tableau

MARCH 21, 2023

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

Data Discovery 98

Data Discovery Government Data Quality Data Governance 98

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. But, before your organization selects and deploys a solution, there are numerous important considerations.

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. But, before your organization selects and deploys a solution, there are numerous important considerations.

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. But, before your organization selects and deploys a solution, there are numerous important considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Tableau

MARCH 21, 2023

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

Data Discovery 52

Data Discovery Government Data Quality Data Governance 52

Sisense

APRIL 15, 2021

It’s the present, too, but you already know that. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. Analytics is the future.

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

Astera

SEPTEMBER 4, 2024

Choose and Implement The Right Data Strategy with Astera Leverage our data expertise to figure out the best data architecture for your organization. Discuss your data strategy with us. What Is Data Mesh? Data mesh was first presented as a concept by Zhamak Dehghani in 2019. What is Data Fabric?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Data Pine

MAY 31, 2022

By understanding them and their nature in relation to the world of modern business, they present great opportunities for organizational growth and evolution. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. It is evident that the cloud is expanding.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

The BAWorld

NOVEMBER 28, 2021

A few popular companies that offer data wrangling solutions are Trifacta and Datawatch Monarch. Core Data Wrangling Activities. The data wrangling process typically involves the following six core data wrangling activities. This step allows data scientists to get familiar with the data sets. . Discovering.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. The trends we presented last year will continue to play out through 2020. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 1) Data Quality Management (DQM).

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

ElegantJ BI

MARCH 19, 2021

It is not uncommon for data shared or created by a particular business user to become popular among other business users because of a particular analytical approach, the clarity of the data and conclusions presented or other unique aspects of the user’s approach to business intelligence and reporting.

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

It is not uncommon for data shared or created by a particular business user to become popular among other business users because of a particular analytical approach, the clarity of the data and conclusions presented or other unique aspects of the user’s approach to business intelligence and reporting.

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

It is not uncommon for data shared or created by a particular business user to become popular among other business users because of a particular analytical approach, the clarity of the data and conclusions presented or other unique aspects of the user’s approach to business intelligence and reporting.

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 27, 2016

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and, more importantly, will begin to understand what types of data users value, and how to provide and present data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Discovery 130

ElegantJ BI

DECEMBER 27, 2016

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and, more importantly, will begin to understand what types of data users value, and how to provide and present data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Discovery 130

ElegantJ BI

DECEMBER 27, 2016

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and, more importantly, will begin to understand what types of data users value, and how to provide and present data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Discovery 130

ElegantJ BI

JANUARY 22, 2017

Business users can apply their own domain and role-specific knowledge and skill to data analytics, the availability and access to solid data and creative, concise reporting and data sharing will result in improved user adoption and the emergence of ‘popular’ Citizen Data Scientists and reporting techniques and data presentation.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Business users can apply their own domain and role-specific knowledge and skill to data analytics, the availability and access to solid data and creative, concise reporting and data sharing will result in improved user adoption and the emergence of ‘popular’ Citizen Data Scientists and reporting techniques and data presentation.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Business users can apply their own domain and role-specific knowledge and skill to data analytics, the availability and access to solid data and creative, concise reporting and data sharing will result in improved user adoption and the emergence of ‘popular’ Citizen Data Scientists and reporting techniques and data presentation.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

Data Pine

DECEMBER 4, 2019

Why is mobile becoming pervasive can be simply explained by the rapid expansion and implementation of tablets, laptops and mobile devices on which users can access analytics easily, without the need of being physically present in a company. This data analytics buzzword is somehow a déjà-vu. Augmented Analytics. Graph Analytics.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Insight Software

MARCH 14, 2024

This allows you to fully utilize your Fabric-based systems and overcome typical obstacles related to complex data environments. Bridge Functional Gaps Fabric has shifted away from traditional relational database management systems (RDBMS), presenting users with a new challenge.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52