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

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 Discovery Data Governance 246

Phocas

OCTOBER 13, 2019

Industry-specific data analytics technology has advanced exponentially over the last decade. Before the development of analytics software, data management relied on manual input. Today’s data analytics solutions offer distributors the ability to sift through mountains of data to discover the gold.

Data Discovery 51

Data Discovery Data Analytics Data Analytics Data Management 51

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

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 105

Data Quality Monitoring Data Discovery Data Management 105

Tableau

JUNE 11, 2024

It also bundles the best of our enterprise-grade capabilities like Advanced Management and Data Management, and our Premier Success package to accelerate the success of your data culture. Advanced Management : Manage, secure, and scale mission-critical Tableau deployments. What’s included in Tableau+?

Data Discovery 127

Data Discovery Data Governance Documentation Government 127

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 97

Chief Data Officer Government Data Discovery Data Analytics 97

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 Quality Data Warehouse 52

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 95

Chief Data Officer Government Data Discovery Data Analytics 95

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

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 Agile Business Intelligence 174

The BAWorld

NOVEMBER 8, 2024

It is described using methods like drill-down, data discovery, data mining, and correlations. To identify the underlying causes of occurrences, diagnostic analytics examines data more closely. Tableau Tableau is a great business intelligence tool with a focus on data discovery and visualization of data.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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 Agile Business Intelligence 154

Astera

MAY 22, 2024

Here’s a breakdown of key roles important for a successful data governance program: Data Governance Council: This high-level body provides strategic direction for the program. The board ensures that data governance processes are implemented within everyday operations, promoting consistent departmental data management.

Data Governance 52

Data Governance Government Data Discovery Data Security 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

Data Discovery Government Data Quality Data Governance 52

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

Data Governance Healthcare Government Data Discovery 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

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

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

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

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 Agile 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 Agile Business Intelligence 100

Astera

JUNE 4, 2024

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. Benefits of a Data Catalog Streamlined Data Discovery Data catalogs empower users to locate relevant datasets quickly based on specific criteria.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

SEPTEMBER 4, 2024

You can administer third-party or public data as its own domain in the mesh, ensuring consistency with your internal domain-specific datasets. What is Data Fabric? Unlike the data mesh architecture, the data fabric approach is centralized. It presents an integrated and unified data management framework.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

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 97

Visualization Monitoring Data Quality Data Discovery 97

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

Astera

JULY 12, 2024

This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources. The primary purpose of a resource catalog is to facilitate efficient data discovery, governance , and utilization. This complexity can hinder effective data management and utilization.

Data Governance 52

Data Governance Government Documentation Data Quality 52

Astera

JUNE 14, 2024

But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data. Interested in learning more?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

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 Analytics Data Analytics 87

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

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

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