Analysts Corner
JANUARY 12, 2023
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.
Analysts Corner
FEBRUARY 5, 2023
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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Dataversity
DECEMBER 20, 2022
Dirty data – data that is inaccurate, incomplete, or inconsistent – costs the U.S. trillion per year, according to IBM.
BizAcuity
APRIL 14, 2022
Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Otherwise, it will result in poor data quality and as previously mentioned, cost over 3 trillion dollars for an entire nation. It includes data generation, aggregation, analysis and governance.
Astera
APRIL 29, 2024
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.
CMW Lab Blog
NOVEMBER 20, 2024
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.
Business Analysis Knowledge Share
OCTOBER 24, 2023
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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