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

Tableau

APRIL 12, 2021

Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kate Grinevskaja.

Data Quality 102

Data Quality Monitoring Data Discovery Data Management 102

Tableau

JUNE 13, 2022

This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Chief Data Officer 77

Chief Data Officer Government Data Discovery Data Architecture 77

Tableau

JUNE 13, 2022

This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Chief Data Officer 71

Chief Data Officer Government Data Discovery Data Architecture 71

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.

Data Warehouse 246

Data Warehouse Data Management Data Governance Data Discovery 246

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 94

Data Warehouse Government Artificial Intelligence Data Discovery 94

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 92

Data Warehouse Government Artificial Intelligence Data Discovery 92

Tableau

APRIL 12, 2021

Product Manager, Tableau Catalog. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kate Grinevskaja.

Data Quality 52

Data Quality Monitoring Data Discovery Data Management 52

Smart Data Collective

SEPTEMBER 21, 2021

The ability of the organizations to manually extract the most out of their data results in being highly time and resource-consuming. . Advantages of data fabrication for data management. Data quality and governance. Best Data Fabric Tools for Enterprises – Tried and Tested.

Data Management 257

Data Management Government Data Quality Data Discovery 257

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Intelligent Data Discovery As data warehousing becomes increasingly complex, Intelligent Data Discovery (IDD) will become a crucial trend in business analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. Metadata describes the structure, meaning, origin, and data usage. Why Choose Astera?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

ElegantJ BI

JUNE 16, 2017

Led by Alys Woodward Connection vs. Collection: The Future of Data Management with Ted Friedman To the Point: Convergence of Services and Analytics Is on Its Way — Take Advantage of It! Cloud BI: Path to Agility or Destined for Disaster? I want to thank those who visited our booth.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Digital Transformation 130

ElegantJ BI

JUNE 16, 2017

Led by Alys Woodward Connection vs. Collection: The Future of Data Management with Ted Friedman To the Point: Convergence of Services and Analytics Is on Its Way — Take Advantage of It! Cloud BI: Path to Agility or Destined for Disaster? I want to thank those who visited our booth.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Digital Transformation 130

ElegantJ BI

JUNE 16, 2017

Connection vs. Collection: The Future of Data Management with Ted Friedman. Magic Quadrant: BI & Analytics, Data Science and BI & Analytics Service Providers with Ian Bertram , Rita Sallam , Carlie Idoine , Rick Greenwald , and Jorgen Heizenberg. Cloud BI: Path to Agility or Destined for Disaster? Led by Alys Woodward.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Digital Transformation 130

Domo

MAY 13, 2021

Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

GAVS Technology

MARCH 18, 2024

This can be accomplished through data discovery, automated or semi-automated privacy impact assessments, and storing the data that has been discovered as structured data. Unstructured data is difficult to trace and handle and is where data breaches or security issues arise.

Healthcare 52

Healthcare Cybersecurity Digital Data Security 52

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)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

MARCH 28, 2024

Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion. Both data catalog and data dictionary serve essential roles in data management. The former offers a comprehensive view of an organization’s data assets.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 24, 2024

Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee data management practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Timo Elliott

JANUARY 22, 2019

We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. AI-assisted data discovery can automatically mine data for insights and propose appropriate views of what’s new, exceptional, or different.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

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. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Astera

APRIL 4, 2024

Define Data and Information Assets : Identify and classify data and information assets based on their sensitivity, criticality, and value to the organization. This step involves creating a data catalog as a centralized inventory system for easy data discovery.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

BizAcuity

SEPTEMBER 16, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities.

Visualization 174

Visualization Data Visualization Business Intelligence Business Intelligence 174

Astera

FEBRUARY 27, 2024

Providing a Single Source of Truth A data warehouse consolidates data from diverse sources, removing duplicates and resolving inconsistencies. It provides a single source of truth, ensuring that users access the same and latest version of the data. Why Choose Astera?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

Providing a Single Source of Truth A data warehouse consolidates data from diverse sources, removing duplicates and resolving inconsistencies. It provides a single source of truth, ensuring that users access the same and latest version of the data. Why Choose Astera?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). What is Data Fabric? Data Virtualization.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

Tableau

AUGUST 21, 2023

Catalog Enhanced data trust, visibility, and discoverability Tableau Catalog automatically catalogs all your data assets and sources into one central list and provides metadata in context for fast data discovery. Included with Data Management. Included with the Data Management SKU.

Visualization 75

Visualization Monitoring Data Quality Data Discovery 75

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

Big Data Visualization Data Visualization Data Analytics 87

Astera

JULY 13, 2023

The Six Steps of Data Wrangling Data wrangling is more than just preparing data for analysis; it is a dynamic process of refining and optimizing data to uncover insights. If you are new to data wrangling, it can be overwhelming to know where to start.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

Sisense

DECEMBER 11, 2019

He talked through how the mind-blowing escalation of data and the drastic reduction in the cost of its storage has led to more complex, sophisticated uses of data and a shift in the way it’s managed and consumed. He concluded that data teams can influence the transformation of startups into unicorns.

Embedded Analytics 80

Embedded Analytics Big Data Data Discovery Innovation 80

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 Data Visualization Visualization Business Intelligence 64

Tableau

JULY 23, 2021

Bank Mandiri , the largest financial institution in Indonesia, embedded data-driven decision making at all levels with trusted self-serve analytics. Previously, analytics requests took weeks to complete, were shared in a difficult-to-consume format, and depended on the Enterprise Data Management (EDM) Group to handle.

Government 112

Government Banking Data Governance Data Discovery 112