Dataversity

MAY 16, 2022

The hallmark of any successful Data Governance implementation is awareness.

Data Governance 130

Data Governance Government Data Architecture Data Quality 130

BizAcuity

MARCH 29, 2019

For the data lake to be more effective, it is better to start with a business problem in mind, stay focused, and solve it and deliver results that can please the people on top. Have a game plan ready, for either hiring the people needed, or giving the existing people comprehensive training. Data should be actively and securely managed.

Healthcare 256

Healthcare Data Quality Big Data Visualization 256

Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Smart Data Collective

APRIL 30, 2021

Data integrity is best thought of as a process designed to ensure the data you hold remains both accurate and consistent. Without a process to ensure this, using the data you hold to plan for the future can fast become problematic. Indeed, without data integrity, decision-making can be as good as guesswork.

Data Security 306

Data Security Healthcare Government Planning 306

Tableau

AUGUST 24, 2021

release: Get Tableau notifications directly in Slack for data-driven alerts, @mentions in comments, and sharing activity to stay on top of your data, from anywhere. Safely explore data and save content on your Tableau Server or Online site before it’s ready to be shared with others with Personal Space. In Tableau 2021.3,

Data Management 105

Data Management Data Quality Government Monitoring 105

Timo Elliott

JANUARY 22, 2019

And using real-time systems as a foundation, managers finally get dashboards with all the information they need to run every aspect of the business, in real time, at their fingertips. Compliance drives true data platform adoption, supported by more flexible data management.

Data Discovery 240

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Tableau

AUGUST 24, 2021

release: Get Tableau notifications directly in Slack for data-driven alerts, @mentions in comments, and sharing activity to stay on top of your data, from anywhere. Safely explore data and save content on your Tableau Server or Online site before it’s ready to be shared with others with Personal Space. In Tableau 2021.3,

Data Management 98

Data Management Data Quality Government Monitoring 98

Astera

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Smart Data Collective

SEPTEMBER 25, 2019

If you trust the data, it’s easier to use confidently to make business decisions. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Ponder the statistics and points of focus here as you plan how to proceed. Time to Take Action.

Cybersecurity 256

Cybersecurity Data Quality Planning Data Management 256

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Domo

MAY 30, 2024

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. At first, your data set may have some of the right rows, some of the wrong ones, and some missing entirely.

Data Quality 105

Data Quality Data Governance Government Data Security 105

CMW Lab Blog

DECEMBER 27, 2024

The incorporation of AI and ML into business process management (BPM) is changing the character of business in a completely different manner. Businesses are able to improve productivity and efficiency, as well as make better planning and operational decisions.

Monitoring 52

Monitoring Business Process Management Predictive Analytics Documentation 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 Quality Government 52

Tableau

AUGUST 23, 2021

Today, we’re excited to announce the new Tableau platform, reimagined for the enterprise—including new enterprise subscription plans and new enterprise capabilities from governance and security to platform scalability. . Enterprise subscription plans. Increase trust with integrated data management and centralized security.

Government 121

Government Procurement Enterprise Architecture Data Management 121

The BAWorld

JULY 22, 2024

They gather insights on consumer and competitor data to determine which products will be bought, who is most likely make the purchase decision, at what price.Their findings steer corporate strategy and marketing plans. Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data.

IBM Maintenance 95

IBM Maintenance Data Governance Data Quality Government 95

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Lack of consistent quality.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Lack of consistent quality.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. To curb these risks, it’s crucial that you decipher the key steps of risk management.

Big Data 231

Big Data Logistics Monitoring Data Analytics 231

ElegantJ BI

SEPTEMBER 6, 2019

In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions. Self-serve tools allow users to leverage knowledge and skill and better perform against forecasts and plans.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions. Self-serve tools allow users to leverage knowledge and skill and better perform against forecasts and plans.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions. Self-Serve Data Prep in Action. Original Post: What is SSDP and Can it Truly Make Analytics Self-Serve?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Tableau

AUGUST 23, 2021

Today, we’re excited to announce the new Tableau platform, reimagined for the enterprise—including new enterprise subscription plans and new enterprise capabilities from governance and security to platform scalability. . Enterprise subscription plans. Increase trust with integrated data management and centralized security.

Government 98

Government Procurement Enterprise Architecture Data Management 98

Astera

JANUARY 1, 2025

Astera Astera is an enterprise-grade, unified, AI-powered data management platform. It automatically extracts, validates, integrates, and stores data, eliminating the need for manual intervention. Exports data in Excel or CSV formats for easy integration with other systems and workflows.

Documentation 52

Documentation Procurement Artificial Intelligence Planning 52

Ntara

JUNE 26, 2023

Sometimes product data management can seem vast or vague, even to IT experts who know technology and data well. At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. It also includes where each attribute lives in the data hierarchy.

Data Management 52

Data Management Documentation Data Governance Government 52

Astera

DECEMBER 16, 2024

Similarly, the custom plans are also not very customizable. Based on all these limitations, lets look at some of the best Hevo Data alternatives on the market if youre looking to build ETL/ELT data pipelines. Top 8 Hevo Data Alternatives in 2025 1.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Insight Software

AUGUST 28, 2023

Following success with Power ON, insightsoftware takes strategic evolution, growth, and product enhancements to the next level with software to extend visual planning and write-back solution capabilities to Qlik users RALEIGH, N.C. –

Supply Chain 75

Supply Chain Master Data Management Finance Data Quality 75

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 40

Data Governance Government Data Management Data Security 40

Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process. Download Trial

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process. Download Trial

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101