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Why Data Quality and Data Governance are Important to Achieve Compliance

Analysts Corner

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. As new risks emerge, new regulations come into the picture and/or existing regulations are amended.

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Interesting statistics around big data, data analysis, and usage

Analysts Corner

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead! What do you think?

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Otherwise, it will result in poor data quality and as previously mentioned, cost over 3 trillion dollars for an entire nation. Ensuring rich data quality, maximum security & governance, maintenance, efficiency in storage and analysis comes under the umbrella term of Data Management. Poor data quality.

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How to Build a Data Governance Strategy for Your Organization

Astera

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A data governance strategy is a comprehensive framework that outlines how data is named, stored, and processed.

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The Role of Artificial Intelligence in Business Process Automation: A Comprehensive Analysis

CMW Lab Blog

Predictive Analytics Business Impact: Area Traditional Analysis AI Prediction Benefit Forecast Accuracy 70% 92% +22% Risk Assessment Days Minutes 99% faster Cost Prediction ±20% ±5% 75% more accurate Source: McKinsey Global Institute Implementation Strategies 1.

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Understanding Data Warehousing Concepts for Business Analysts

Business Analysis Knowledge Share

Cloud Data Warehouses Cloud-based Data Warehouses, such as Amazon Redshift, Google BigQuery, and Snowflake, provide scalability, flexibility, and cost-efficiency. They are increasingly popular choices for modern data warehousing. Data Governance Ensure that data in the warehouse is governed and properly documented.

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12 Best Data Mapping Tools & Solutions in 2023

Astera

When data is mapped correctly, it ensures that the integrated data is accurate, complete, and consistent. This helps avoid data duplication, inconsistencies, and discrepancies that can lead to costly errors and operational inefficiencies. Pentaho allows users to create and manage complex data mappings visually.