Change Management, Data Quality and Planning

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality

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The importance of clean data in the quest to deliver “value”

Analysts Corner

AUGUST 15, 2022

Photo by Myriam Jessier on Unsplash There’s no denying that data is vital for businesses. Data helps organizations better understand their customers, track progress against plan, and develop strategies for long-term success. This is because inaccurate or outdated data can lead to many problems. There is no one answer?

Data Quality

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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance

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Overcoming Snowflake Migration Challenges: A Complete Guide

Astera

MAY 25, 2023

To overcome these challenges, organizations can implement strong authentication and authorization measures to ensure that only authorized users can access data in Snowflake. Additionally, businesses can use data encryption to protect sensitive data. These include cultural change, skillset, and change management.

Data Warehouse

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. Management of all enterprise data, including master data.

Data Management

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

JANUARY 12, 2024

Self-Serve Data Infrastructure as a Platform: A shared data infrastructure empowers users to independently discover, access, and process data, reducing reliance on data engineering teams. However, governance remains essential in a Data Mesh approach to ensure data quality and compliance with organizational standards.

Data Architecture

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12 Best Data Mapping Tools & Solutions in 2023

Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

IBM Maintenance

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes.

Data Governance

Data Governance Government Data Quality Change Management

3 Ways to Replace Distrust of Your SAP Data With Confidence

Insight Software

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

IBM Maintenance

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Accelerating Artificial Intelligence with Business Analysis

Business Analysts

APRIL 5, 2023

It requires careful planning, analysis, and collaboration between IT and business teams. Data analysis and modelling : AI projects require large amounts of data to train machine learning models. This involves identifying stakeholders, developing communication plans, and providing training and support to end-users.

Artificial Intelligence

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes.

Data Governance

Data Governance Government Data Quality Change Management

Succeed As a Business Analyst

Analysts Corner

NOVEMBER 24, 2022

The future state of business processes requires new ways of working that result in a great deal of change, and it is important to understand what change means to different groups of stakeholders, so as to design and implement an effective change management plan to help teams to get used to the new ways of working.

Data Governance

Data Governance Business Analysis Business Analysis Government

MAD for product data management: What IT leaders should know

Ntara

JUNE 26, 2023

Consider your product data management challenges. Like most organizations, you may struggle with manual initiatives, poor data quality, and collaboration between employees and teams. Establishing a “read only” MAD for stakeholders is also a way to standardize your data dictionary and support data quality.

Data Management

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Big Data Security: Protecting Your Valuable Assets

Astera

MAY 25, 2023

Incident Response Having a robust incident response plan in place is necessary in the event of a data breach. The plan should outline steps to contain the breach, analyze the scope, notify affected parties, and remediate vulnerabilities. Plans should be tested and updated regularly to ensure effectiveness.

Big Data

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

Data Pine

FEBRUARY 22, 2022

A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Taking the time to plan and organize an efficient BI strategy will skyrocket your business performance. In today’s crowded business environment, everyone wants to work with data.

Business Intelligence

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How to build a reliable document management system?

CMW Lab Blog

NOVEMBER 9, 2023

. – Accuracy: Automation within a DMS significantly reduces the risk of human error in tasks such as data entry and document routing. This leads to consistent and error-free document management, improving data quality and reliability.

Documentation

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Business Analysis Digest

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

The importance of clean data in the quest to deliver “value”

Trending Sources

Data Governance Framework: What is it? Importance, Pillars and Best Practices

Overcoming Snowflake Migration Challenges: A Complete Guide

Enterprise Data Management: Strategy, Benefits, Best Practices

Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

12 Best Data Mapping Tools & Solutions in 2023

How to: Focus on three areas for a holistic data governance approach for self-service analytics

3 Ways to Replace Distrust of Your SAP Data With Confidence

Accelerating Artificial Intelligence with Business Analysis

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Succeed As a Business Analyst

MAD for product data management: What IT leaders should know

Big Data Security: Protecting Your Valuable Assets

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

How to build a reliable document management system?

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