Data quality : empowering businesses with analytics and AI / Prashanth H. Southekal.

Format:

Book

Author/Creator:

Southekal, Prashanth H., author.

Language:

English

Subjects (All):

Business--Data processing.

Business.

Electronic data processing--Quality control.

Electronic data processing.

Data protection.

Artificial intelligence.

Physical Description:

1 online resource (302 pages)

Place of Publication:

Hoboken, New Jersey : Wiley, [2023]

Summary:

"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"-- Provided by publisher.

Contents:

Business data

Data quality in business

Causes for poor data quality

Data lifecycle and lineage

Profiling for data quality

Reference architecture for data quality

Best practices to realize data quality

Data governance

Protecting data

Data ethics.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Other Format:

Print version: Southekal, Prashanth Data Quality

ISBN:

9781394165247

1394165242

OCLC:

1365332452