ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

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. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

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. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

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

ElegantJ BI

APRIL 1, 2016

Future enhancements include Smart Data Discovery with self-serve data exploration and preparation, that creates Citizen Data Scientists with features like smart visualization, and plug n’ play predictive analysis.

Real-time Data 100

Real-time Data Business Intelligence Business Intelligence Data Discovery 100

ElegantJ BI

APRIL 1, 2016

Future enhancements include Smart Data Discovery with self-serve data exploration and preparation, that creates Citizen Data Scientists with features like smart visualization, and plug n’ play predictive analysis.

Real-time Data 100

Real-time Data Business Intelligence Business Intelligence Data Discovery 100

ElegantJ BI

APRIL 1, 2016

Future enhancements include Smart Data Discovery with self-serve data exploration and preparation, that creates Citizen Data Scientists with features like smart visualization, and plug n’ play predictive analysis. ” About ElegantJ BI. ” About ElegantJ BI.

Real-time Data 100

Real-time Data Business Intelligence Business Intelligence Data Discovery 100

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

AUGUST 21, 2023

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

Visualization 97

Visualization Monitoring Data Quality Data Discovery 97

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

Astera

MARCH 28, 2024

The former offers a comprehensive view of an organization’s data assets. It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. This functionality includes data definitions, schema details, data lineage, and usage statistics.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 28, 2023

AI-powered ETL tools can automate repetitive tasks, optimize performance, and reduce the potential for human error. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

JUNE 4, 2024

This feature is valuable for understanding data dependencies and ensuring data quality across the entire data lifecycle. While data dictionaries offer some lineage information for specific fields within a database, data catalogs provide a more comprehensive lineage view across various data sources.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

FEBRUARY 28, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

The BAWorld

NOVEMBER 28, 2021

Exploratory data analysis was first introduced by John Tukey in 1961 and later wrote a book about the concept in 1977. Exploratory data analysis involves using statistical graphs and graphical visualization methods to analyze and investigate the data sets. Core Data Wrangling Activities. Discovering. Structuring.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

GAVS Technology

JUNE 2, 2021

Data fabric aims to simplify the management of enterprise data sources and the ability to extract insights from them. A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. Data Fabric Players.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Data Pine

MAY 31, 2022

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. It is evident that the cloud is expanding. It’s completely free!

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

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

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.

Government 52

Government Data Governance Master Data Management Documentation 52

Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

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

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 27, 2016

A BI tool that supports mobile, self-serve data preparation , plug n’ play predictive analysis and smart data visualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Discovery 130

ElegantJ BI

DECEMBER 27, 2016

A BI tool that supports mobile, self-serve data preparation , plug n’ play predictive analysis and smart data visualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Discovery 130

ElegantJ BI

DECEMBER 27, 2016

A BI tool that supports mobile, self-serve data preparation , plug n’ play predictive analysis and smart data visualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Discovery 130

ElegantJ BI

JANUARY 22, 2017

Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100