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

Data Governance Business Intelligence Business Intelligence Government 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

Data Governance Business Intelligence Business Intelligence Government 130

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.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

Domo

APRIL 10, 2025

It then distributes this unified data throughout the enterprise, ensuring everyone, from marketing to supply chain, works with the same reliable information. Supported by data governance policies and technologies like data modeling, MDM keeps this information trustworthy over time. GDPR, HIPAA).

Master Data Management 52

Master Data Management Data Management Data Governance Supply Chain 52

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 6, 2015

Nor can these developers satisfy the needs of every business user in the present or future. While BI tools have become more agile, and developers can quickly develop and deploy dashboards, they cannot anticipate or execute on the daily demands for new and different ways to view and analyze data.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 6, 2015

Nor can these developers satisfy the needs of every business user in the present or future. While BI tools have become more agile, and developers can quickly develop and deploy dashboards, they cannot anticipate or execute on the daily demands for new and different ways to view and analyze data.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 6, 2015

Nor can these developers satisfy the needs of every business user in the present or future. While BI tools have become more agile, and developers can quickly develop and deploy dashboards, they cannot anticipate or execute on the daily demands for new and different ways to view and analyze data.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

Whizlabs

DECEMBER 28, 2020

A hybrid cloud can support a reduction in latency, thereby leading to better data speed. Most important of all, the hybrid cloud would present a promising proposition in terms of security standards that provide a combination of private and public cloud security. Increasing Value of Global Public Cloud Market. growth rate.

Cloud Computing 98

Cloud Computing Data Governance Big Data Government 98

Dataversity

JUNE 1, 2022

Our modern world, with its complex social structures, geopolitical risks, and increasingly mobile populations, presents more and more formidable public health challenges. But organizations are increasingly aware of a powerful antidote: data.

Data Security 130

Data Security Data Governance Government 130

Cprime

FEBRUARY 24, 2023

Are there data types that you’re likely to work with in the future that are not currently in use in your organization? By defining exactly what data needs integration, you can avoid choosing solutions that present challenges when working with certain formats or that can’t support future requirements.

Data Security 98

Data Security Planning Agile Change Management 98

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. Incomplete or inaccurate data can lead to incorrect conclusions and decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

AUGUST 22, 2024

Key validation methods include: Data Consistency Checks: Verify data consistency across different data sources and systems. Data Completeness Checks: Ensure all necessary data elements are present and complete. Data Accuracy Checks: Compare data against reliable external sources to verify accuracy.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

NOVEMBER 13, 2023

Storage Layer: The EDW’s core usually utilizes a relational database or specialized data warehousing platforms like Snowflake or Amazon Redshift. The storage layer acts as the foundational repository for the enterprise’s data assets, enabling efficient data storage, retrieval, and analysis.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

DECEMBER 22, 2022

Challenge # 1: Inability to Process Growing Data Volumes. The volume of global data is projected to rise to 175 Zettabytes by 2025. This presents the challenge of accurately capturing this data in a timely manner. Enterprises need to capture and store unstructured data to extract valuable insights.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

The Data Administration Newsletter

JULY 17, 2024

Nearly every operational process involves data in some way, shape, or form — from internal reporting and emails to transactions with customers. However, while data can be a powerful tool, providing invaluable insights to organizations, it can also present numerous challenges if it is not […]

Data Governance 52

Data Governance Data Security Government Data Management 52

Astera

MAY 14, 2024

Data Representation Typically visualized as a directed acyclic graph (DAG). Often presented as metadata associated with the data element. Use Cases Identifying data errors, tracing changes, and ensuring consistency. Data provenance enables organizations to prove their compliance with these regulations.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Documentation 52

Astera

MAY 13, 2024

Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability. Documenting the sensitivity analysis process to gain insights into the aggregated data’s reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

AUGUST 16, 2024

This can lead to the organization losing a lot of valuable data after migration. Poor Data Orchestration Data orchestration is the process of taking siloed data from different sources, combining and organizing it, and presenting it in a unified data view.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

The Data Administration Newsletter

JULY 5, 2022

Whichever metaphor you would like to use, what is certain is that no organization will survive the twenty-first century without optimizing the use of its data assets. Similarly, cybersecurity, privacy, and compliance risks increasingly present huge […].

Government 52

Government Cybersecurity Data Governance Data Architecture 52

Astera

APRIL 24, 2024

This blog reviews the top 7 data aggregation tools, exploring how each solution ensures that every byte of an organization’s data is harnessed for strategic insights. What are Data Aggregation Tools? Alteryx’s data preparation , blending, and cleansing features provide a solution for processing large data volumes.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

AUGUST 5, 2024

Data Visualization Once the analysis is complete, the results are interpreted to generate findings relevant to the business. Data visualization presents these findings in a clear and understandable format: Creating Visuals : Representing analysis results with charts, graphs, and dashboards. ” and “How did it happen?

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Insight Software

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

MARCH 14, 2024

This allows you to fully utilize your Fabric-based systems and overcome typical obstacles related to complex data environments. Bridge Functional Gaps Fabric has shifted away from traditional relational database management systems (RDBMS), presenting users with a new challenge.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52

Insight Software

MARCH 23, 2023

For them, self-service must cover tasks like data exploration, modeling, and deploying a sandbox environment for special use cases. Self-service BI also presents issues and solutions in the embedded BI/analytics world. They have the highest demand for flexibility and functionality in their self-service BI solutions.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52