Read Data Quality: The Enabler for Analytics and AI Success

Data Quality: The Enabler for Analytics and AI Success

Prashanth Southekal

4.9/5 (16926 ratings)

Description:Quality data is the key for business enterprises to offer improved performance in operations, compliance, and decision making. According to McKinsey, data driven organizations provide EBITDA increases between 15 to 25% than peers. However, to be a data driven organization, data quality is very important. But most companies are plagued with poor data quality. A HBR study found that just 3% of the data in a business enterprise meets quality standards. According to Gartner, 27% of data in the world's top companies is flawed--so companies are looking for practical guidance to improve data quality. This book examines the four-phase DARS approach (Define-Assess-Realize-Sustain) for companies to manage high quality data in organizations. This approach provides a combination of strategy and tactical elements to deliver the greatest value from data to the business. It is a playbook that offers prescriptive recommendations based on proven best practices to realize and sustain data quality.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Quality: The Enabler for Analytics and AI Success. To get started finding Data Quality: The Enabler for Analytics and AI Success, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: Wiley

Release: 2023

ISBN: 1394165250

Description: Quality data is the key for business enterprises to offer improved performance in operations, compliance, and decision making. According to McKinsey, data driven organizations provide EBITDA increases between 15 to 25% than peers. However, to be a data driven organization, data quality is very important. But most companies are plagued with poor data quality. A HBR study found that just 3% of the data in a business enterprise meets quality standards. According to Gartner, 27% of data in the world's top companies is flawed--so companies are looking for practical guidance to improve data quality. This book examines the four-phase DARS approach (Define-Assess-Realize-Sustain) for companies to manage high quality data in organizations. This approach provides a combination of strategy and tactical elements to deliver the greatest value from data to the business. It is a playbook that offers prescriptive recommendations based on proven best practices to realize and sustain data quality.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Quality: The Enabler for Analytics and AI Success. To get started finding Data Quality: The Enabler for Analytics and AI Success, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Data Quality: The Enabler for Analytics and AI Success

Data Quality: The Enabler for Analytics and AI Success

More Books

Data Quality

Data Quality

The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement

Executing Data Quality Projects

Executing Data Quality Projects

Data Quality for the Information Age

Data Quality for the Information Age

Data Quality ROI

Data Quality ROI

Data Quality Fundamentals

Data Quality Fundamentals

Enterprise Knowledge Management

Enterprise Knowledge Management

Handbook of Data Quality

Handbook of Data Quality

Data Quality and Record Linkage Techniques

Data Quality and Record Linkage Techniques