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.

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ElegantJ BI

AUGUST 24, 2017

“Our Smarten, self-serve approach to business intelligence and advanced analytics is designed to expand the boundaries of self-serve analytic, social BI and mobile access with dependable data governance and security.”

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

AUGUST 24, 2017

“Our Smarten, self-serve approach to business intelligence and advanced analytics is designed to expand the boundaries of self-serve analytic, social BI and mobile access with dependable data governance and security.”

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Visualization 130

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

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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

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ElegantJ BI

DECEMBER 15, 2015

Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance. In this, the second of the article series, we delve into data governance and separate fact from fiction. In many BI implementation scenarios, accessibility, trust and usability of Business Intelligence (BI) solutions is hampered by Data Anarchy.

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Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. Data governance manages the formal data assets of an organization.

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Astera

APRIL 22, 2024

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.

Data Governance 52

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Astera

JUNE 14, 2024

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. Active data governance is essential to ensure quality and accessibility when managing large volumes of data.

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ElegantJ BI

JANUARY 7, 2020

There are few businesses today that have the luxury of waiting for information, data or reports. Modern BI supports collaboration, while providing appropriate data governance and data security. What is Modern BI? Modern BI frees the IT and analyst team to focus on more strategic goals.

Data Discovery 130

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ElegantJ BI

JANUARY 7, 2020

There are few businesses today that have the luxury of waiting for information, data or reports. Modern BI supports collaboration, while providing appropriate data governance and data security. What is Modern BI? Modern BI frees the IT and analyst team to focus on more strategic goals.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

JANUARY 7, 2020

There are few businesses today that have the luxury of waiting for information, data or reports. Modern BI supports collaboration, while providing appropriate data governance and data security. What is Modern BI? Modern BI frees the IT and analyst team to focus on more strategic goals.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

AUGUST 16, 2016

In this brave new world of self-serve business intelligence business users can create their own time series forecasting, associative, clustering, classification and other predictive analytics using drag n’ drop functionality, without the assistance of a statistician or data scientist.

Predictive Analytics 130

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ElegantJ BI

AUGUST 16, 2016

In this brave new world of self-serve business intelligence business users can create their own time series forecasting, associative, clustering, classification and other predictive analytics using drag n’ drop functionality, without the assistance of a statistician or data scientist.

Predictive Analytics 130

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ElegantJ BI

AUGUST 16, 2016

In this brave new world of self-serve business intelligence business users can create their own time series forecasting, associative, clustering, classification and other predictive analytics using drag n’ drop functionality, without the assistance of a statistician or data scientist. Myth #3: Business Users Do Not Need Ad Hoc Data Analysis.

Predictive Analytics 130

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Dataversity

SEPTEMBER 20, 2021

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. The post Three Tips for Safeguarding Against Data Breaches appeared first on DATAVERSITY.

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Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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Tableau

JUNE 11, 2024

For more information about these credits, and how they are used and consumed, check out this help article. Data Management : Enhance data governance and security while simplifying data discovery and connectivity. Einstein (AI) Request credits (new): Get started with generative AI use cases in Tableau Cloud.

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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.

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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.

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Tableau

JUNE 13, 2022

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. This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Learn more.

Chief Data Officer 97

Chief Data Officer Government Data Discovery Data Analytics 97

Tableau

JUNE 13, 2022

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. This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Learn more.

Chief Data Officer 95

Chief Data Officer Government Data Discovery Data Analytics 95

Astera

MARCH 28, 2024

It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive. This practice is especially applicable to large organizations with scattered data.

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Astera

JUNE 4, 2024

Unlike data dictionaries, which focus on structured data within a specific database, a data catalog creates a comprehensive registry of data assets across an organization. Metadata About Each Data Asset Data catalogs function as detailed libraries, which means each data set is assigned metadata , a set of informational tags.

Data Governance 52

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Astera

JULY 12, 2024

A resource catalog is a systematically organized repository that provides detailed information about various data assets within an organization. This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources.

Data Governance 52

Data Governance Government Documentation Data Quality 52

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

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Astera

MAY 8, 2024

With clear definitions readily available, employees can make more informed decisions, contribute effectively to discussions, and collaborate more productively, ultimately driving organizational success. Reference Data: Standard information that serves as a benchmark for comparison or categorization.

Data Governance 52

Data Governance Government Healthcare Data Quality 52

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. 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.

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Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Shared data governance is crucial to ensuring data quality, security, and compliance without compromising on the flexibility afforded to your teams by the data mesh approach.

Data Architecture 52

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Data Pine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Big Data 87

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GAVS Technology

JUNE 2, 2021

Data fabric aims to simplify the management of enterprise data sources and the ability to extract insights from them. Data fabric platforms should also focus on data sharing, not within the enterprise but also across enterprise. Data Lakes.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Astera

MAY 14, 2024

Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. What is metadata management? Types of metadata. Image by Astera.

Government 52

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Astera

FEBRUARY 28, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights.

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Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns. Data Quality Management Not all data is created equal.

Data Management 52

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Data Pine

DECEMBER 11, 2019

This means that your business’s data is available and secure regardless of a data breach or system failure. Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency.

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