ElegantJ BI

AUGUST 17, 2018

The biggest mistake an enterprise can make is to try to manage in the same old way after introducing new tools and increased data access. Look to the Data: Explore user adoption, data-driven decisions and the affects of integrated, uniform data access, and data governance.

Vision 130

Vision Data Governance Government Data Analytics 130

Tableau

OCTOBER 7, 2024

This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business.

Data Quality 138

Data Quality Government Vision Data Governance 138

Dataversity

NOVEMBER 29, 2022

Incorporating low-code solutions without proper executive buy-in and a long-term vision and strategy […]. And while low code can be truly transformative, it can also cause problems down the line if not implemented correctly. The post Three Pillars of Sustainable Low Code appeared first on DATAVERSITY.

Vision 130

Vision Innovation Data Governance Government 130

Cprime

FEBRUARY 1, 2024

– Generative AI (GenAI) in financial services refers to advanced AI systems capable of creating new, original content and solutions, such as predictive financial models and personalized customer experiences, by synthesizing data and learning from interactions. What are the strategic steps for implementing generative AI in finance?

Finance 80

Finance Vision Government Talent Acquisition 80

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. 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. Learn more.

Chief Data Officer 97

Chief Data Officer Government Data Discovery Data Analytics 97

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. 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. Learn more.

Chief Data Officer 95

Chief Data Officer Government Data Discovery Data Analytics 95

Netmind

MARCH 9, 2021

I also want to relate it to the traditional pyramid of knowledge management, DIKW (data, information, knowledge, and wisdom). Although there are some discrepancies on the model’s limits and specific definitions, I wanted to give you my vision from a practical and usable point of view. Data Governance.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

I also want to relate it to the traditional pyramid of knowledge management, DIKW (data, information, knowledge, and wisdom). Although there are some discrepancies on the model’s limits and specific definitions, I wanted to give you my vision from a practical and usable point of view. Data Governance .

Data Governance 52

Data Governance Government Data Requirement Vision 52

Domo

MARCH 14, 2024

Prior to that, she worked at IBM, spearheading development across computer vision, conversation, data and regulation. Data-Driven Action with Apps, Automated Workflows and more : Run your business smarter and serve customers better with the power of Domo—from apps to dashboards—putting data to work for every user.

Artificial Intelligence 52

Artificial Intelligence IBM Support Data Governance Government 52

Domo

MARCH 14, 2024

Prior to that, she worked at IBM, spearheading development across computer vision, conversation, data and regulation. Data-Driven Action with Apps, Automated Workflows and more : Run your business smarter and serve customers better with the power of Domo—from apps to dashboards—putting data to work for every user.

Artificial Intelligence 52

Artificial Intelligence IBM Support Data Governance Government 52

Domo

NOVEMBER 8, 2023

The firm evaluated more than 40 vendor solutions in the Marketing Analytics Solutions market, which included (but not limited to) the following key criteria for inclusion: Ease of use and setup for nontechnical users with functional options for developers and analysts Robust marketing attribution, forecasting and predictive analytics capabilities Extensibility (..)

Digital Transformation 52

Digital Transformation Predictive Analytics Data Governance Business Intelligence 52

Data Pine

MARCH 25, 2019

Build a data management roadmap. While, at this point, this particular step is optional (you will have already gained a wealth of insight and formed a fairly sound strategy by now), creating a data governance roadmap will help your data analysis methods and techniques become successful on a more sustainable basis.

Big Data 87

Big Data Visualization Data Analytics Data Analytics 87

Cprime

MARCH 5, 2024

Unpacking Atlassian’s Vision for Tomorrow The drive towards cloud adoption is fueled by a clear vision from Atlassian: to bring all users into a future where cloud platforms unlock unprecedented levels of innovation, efficiency, and scalability. Why the Cloud?

Digital Transformation 52

Digital Transformation Digital Cloud Computing Innovation 52

Cprime

APRIL 16, 2024

Successfully integrating Gen AI into existing operations requires a clear vision, a robust digital strategy, and a commitment to innovation. This cultural transformation can help break down silos, facilitate cross-functional collaboration, and ensure that Gen AI initiatives are aligned with the organization’s strategic vision.

Innovation 59

Innovation Digital Government Vision 59

Actian

SEPTEMBER 30, 2019

The three biggest challenges that ITDMs told us apply to transitioning to hybrid solutions are cost (42%), management of competing priorities and/or visions (41%), and the inability to get users to adopt new technologies and capabilities quickly (41%). Data governance and compliance needs.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

Actian

SEPTEMBER 30, 2019

The three biggest challenges that ITDMs told us apply to transitioning to hybrid solutions are cost (42%), management of competing priorities and/or visions (41%), and the inability to get users to adopt new technologies and capabilities quickly (41%). Data governance and compliance needs.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8

Data Pine

SEPTEMBER 29, 2022

He/she should also oversee the management of the daily activities involving data scope, project budget, and program implementation. The program manager should lead the vision for quality data and ROI. He/she assists the organization by providing clarity and insight into advanced data technology solutions.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Cprime

DECEMBER 21, 2022

In each case, the process of integration in the cloud can involve creating cloud-to-cloud data integration, cloud-to-on-premises integration or a combination of both, addressing different business components, including data and applications. There are three main types of data integration. Data consolidation.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Domo

OCTOBER 22, 2021

This makes data from a customer’s warehouse distributable to its own customers or partners in a controlled, governed manner. Creating a data fabric is an essential component to any modern data architecture, and is a promising vision for driving business value in the future. The bottom line.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

JANUARY 18, 2024

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Dataversity

FEBRUARY 3, 2025

Welcome to February 2025s Book of the Month.This time well be reviewing the book Holistic Data Governance Volume 1: The Guardrail Hierarchy by David Kowalski.

Data Governance 130

Data Governance Government Vision Data Quality 130

ElegantJ BI

MAY 10, 2022

Ensuring Appropriate Security and Data Governance. The senior team and IT professionals will want to ensure appropriate security and access to data. A plan to identify data sources and secure information that is appropriate to the roles of the users is a mandatory consideration.

Business Intelligence 162

Business Intelligence Business Intelligence Government Data Governance 162

Data Pine

FEBRUARY 22, 2022

You define the strategy in terms of vision, organization, processes, architecture, and solutions, and then draw a roadmap based on the assessment, the priority, and the feasibility. For this purpose, you can think about a data governance strategy.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

ElegantJ BI

MAY 10, 2022

Ensuring Appropriate Security and Data Governance The senior team and IT professionals will want to ensure appropriate security and access to data. A plan to identify data sources and secure information that is appropriate to the roles of the users is a mandatory consideration.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

ElegantJ BI

MAY 10, 2022

Ensuring Appropriate Security and Data Governance The senior team and IT professionals will want to ensure appropriate security and access to data. A plan to identify data sources and secure information that is appropriate to the roles of the users is a mandatory consideration.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

ElegantJ BI

MARCH 16, 2023

Data must still be secured and accessible to users for the things they need to see, but not for the things they are not eligible to see and not in an environment where data security and privacy are at risk. To democratize your data, you must also ensure data governance, security and access standards and requirements are met.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

ElegantJ BI

MARCH 16, 2023

Data must still be secured and accessible to users for the things they need to see, but not for the things they are not eligible to see and not in an environment where data security and privacy are at risk. To democratize your data, you must also ensure data governance, security and access standards and requirements are met.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

ElegantJ BI

MARCH 16, 2023

Data must still be secured and accessible to users for the things they need to see, but not for the things they are not eligible to see and not in an environment where data security and privacy are at risk. To democratize your data, you must also ensure data governance, security and access standards and requirements are met.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

ElegantJ BI

JANUARY 5, 2022

If you provide access to analytical tools for business users, what metrics will they use to know if they are meeting their goals and achieving the business vision? Ask how broad access to data can improve business results. Your requirements must, by the very nature of the project, include a review of your data systems and repositories.

Monitoring 130

Monitoring Planning Data Governance Vision 130

ElegantJ BI

JANUARY 5, 2022

If you provide access to analytical tools for business users, what metrics will they use to know if they are meeting their goals and achieving the business vision? Ask how broad access to data can improve business results. Your requirements must, by the very nature of the project, include a review of your data systems and repositories.

Monitoring 130

Monitoring Planning Data Governance Vision 130

ElegantJ BI

JANUARY 5, 2022

If you provide access to analytical tools for business users, what metrics will they use to know if they are meeting their goals and achieving the business vision? Ask how broad access to data can improve business results. Your requirements must, by the very nature of the project, include a review of your data systems and repositories.

Monitoring 26

Monitoring Planning Data Governance Vision 26

Timo Elliott

FEBRUARY 3, 2025

To help make the right choices, organizations need Enterprise Architects with the right vision and skillsets. Expand AI and Data Knowledge Understand how AI and data governance impact enterprise architecture. Master the Art of Storytelling Learn to communicate the business value of architectural decisions effectively.

Enterprise Architecture 147

Enterprise Architecture Skillset Digital Transformation Government 147

Analysts Corner

JANUARY 6, 2025

Organize your company around decentralized, autonomous domains, which collaborate to contribute to companys success, but are self-sufficient in terms of software development and data management. I described this vision in more detail here. The format of this article does not allow for a detailed discussion of each strategy.

Government 130

Government Digital Artificial Intelligence Healthcare 130

Insight Software

FEBRUARY 21, 2025

This trend, coupled with evolving work patterns like remote work and the gig economy, has significantly impacted traditional talent acquisition and retention strategies, making it increasingly challenging to find and retain qualified finance talent.

IBM Maintenance 52

IBM Maintenance Finance IBM Support Artificial Intelligence 52

Insight Software

JANUARY 2, 2025

From cloud-based platforms to on-premises databases, Simbas connectors make the data accessible, reliable, and ready for analysis. With Logi Symphony, you get: Data Governance and Security: Layered protections ensure that data is accessed securely, respecting user and tenant-level permissions.

IBM Support 52

IBM Support Embedded Analytics IBM Maintenance Government 52

Insight Software

AUGUST 15, 2024

MDM is necessary for maintaining data integrity and consistency across your organization, but it can be complex and time-consuming to manage different data sources and ensure accurate data governance. With Power ON’s user management features, you can enhance collaboration and ensure robust data governance.

IBM Maintenance 52

IBM Maintenance IBM Support Data Governance Government 52

Insight Software

FEBRUARY 23, 2024

Key aspects of data mapping include: Source-to-target alignment Field-level correspondence Data transformation rules Data relationship understanding Data quality considerations Metadata documentation Compatibility and standards adherence Data governance and compliance Data mapping is a foundational step that lays the groundwork for successful data (..)

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52