From Data To Profit

From Data To Profit
Author :
Publisher : John Wiley & Sons
Total Pages : 240
Release :
ISBN-10 : 9781394196234
ISBN-13 : 1394196237
Rating : 4/5 (34 Downloads)

Book Synopsis From Data To Profit by : Vin Vashishta

Download or read book From Data To Profit written by Vin Vashishta and published by John Wiley & Sons. This book was released on 2023-05-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform your company’s AI and data frameworks to unlock the true power of disruptive new tech In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You’ll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech. The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies. He explains how to get everyone in your company on the same page, following a single framework, in a way that ensures individual departments get what they want and need. You’ll learn to outline a comprehensive technical vision and purpose that respects departmental autonomy over their core competencies while guaranteeing that they all get the tools they need to make technology their partner. You’ll also discover why firms that have adopted a holistic strategy toward AI and data have enjoyed results far beyond those experienced by those that have taken a piecemeal approach. From Data to Profit demonstrates the proper role of the CEO during an intensive transformation: one of maintaining culture during the change. It offers advice for organizational change, including the 3-Phase Data Organizational Development Framework, the Core - Rim 3 Main People Groups Framework, and the way to implement new roles for a Chief Digital Officer and Technical Strategist. Perfect for data professionals, data organizational leaders, and data product and process owners, From Data to Profit will also benefit executives, managers, and other business leaders seeking hands-on advice for digital transformation at their firms.


From Data To Profit Related Books

From Data To Profit
Language: en
Pages: 240
Authors: Vin Vashishta
Categories: Computers
Type: BOOK - Published: 2023-05-31 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Transform your company’s AI and data frameworks to unlock the true power of disruptive new tech In From Data to Profit: How Businesses Leverage Data to Grow T
Data Strategy
Language: en
Pages: 201
Authors: Bernard Marr
Categories: Business & Economics
Type: BOOK - Published: 2017-04-03 - Publisher: Kogan Page Publishers

DOWNLOAD EBOOK

BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders
Monetizing Your Data
Language: en
Pages: 371
Authors: Andrew Roman Wells
Categories: Business & Economics
Type: BOOK - Published: 2017-03-13 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Transforming data into revenue generating strategies and actions Organizations are swamped with data—collected from web traffic, point of sale systems, enterp
The New Oil
Language: en
Pages: 0
Authors: Arent van 't Spijker
Categories: Business & Economics
Type: BOOK - Published: 2014 - Publisher:

DOWNLOAD EBOOK

The New Oil shows how data changes the traditional business paradigm. How it impacts not just high-tech, high-profile companies, but also old-school, low-tech i
Profit from Science
Language: en
Pages: 235
Authors: George Danner
Categories: Social Science
Type: BOOK - Published: 2016-05-02 - Publisher: Springer

DOWNLOAD EBOOK

In Profit From Science , author George Danner presents solutions to the big problems that modern business face solutions that are grounded in logic and empirici