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

Astera

MAY 8, 2024

When everyone adheres to standardized terminology, it minimizes data interpretation and usage discrepancies. Moreover, a well-defined glossary supports effective data governance practices by establishing guidelines for data management, access controls, and compliance with regulatory requirements.

Data Governance 52

Data Governance Government Healthcare Retail 52

Smart Data Collective

SEPTEMBER 21, 2021

The world we live in keeps facing unprecedented and rapid phase changes when it comes to business verticals and innovations. In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. Advantages of data fabrication for data management.

Data Management 264

Data Management Government Data Quality Data Discovery 264

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

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

APRIL 4, 2024

Fostering Knowledge Sharing: Promoting collaboration to leverage collective expertise for innovation and improvement. Education Knowledge Management: Educational institutions optimize knowledge sharing with information governance. How do Data Governance and Information Governance Work Together?

Data Governance 52

Data Governance Government E-Commerce 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. These data-driven, self-learning business processes improve automatically over time and as people use them. Cloud brings agility and faster innovation to analytics.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

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

With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data.

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

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

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

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 91

Government Banking Data Governance Data Discovery 91

Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing 52

Cloud Computing Government Supply Chain Data Governance 52

Astera

JANUARY 12, 2024

Collaboration and Cross-Functionality While both approaches encourage collaboration among data professionals, Data Vault does not inherently emphasize cross-functional teams. It thrives in environments where agility, autonomy, and collaboration among domain teams are essential for driving insights and innovation.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52