4 Jul
2018

The 3 Central Tasks of Data-Driven Transformation

BCG's cost-effective and evidently successful three-step approach addresses a timeline for digital transformation in companies across sectors. The approach begins with pilot projects of rapid digitization to a final data governance system leading to a full-fledged digital transformation.

Analytics
Industry 4.0
Les 3 tâches principales d'une transformation basée sur les données

 

 

Data-driven transformation has taken to drive change in public and social sectors. Such change has motivated most executives to find reliable ways to propel their companies into data-based futures. Along with motivation, fear to keep up with competitors and ensure survival of their businesses pushes CEOs to implement a focused, pragmatic, and agile approach to data transformation. Working with different industries, BCG has addressed this challenge and developed a cost-effective, sustainable, and progressive three-phase approach:

 

Worximity - Data driven transforamtion with Smart Factory technologies

1. Funding the journey 

Entails laying the foundation with rapid digitization efforts that address the basics of broader transformation and deliver returns that can fund later phases. The benefits of these pilot projects help to show how an example company can benefit from digitization in the long run.

2. Designing a company-wide transformation 

Focuses on optimizing performance through digitization. In this phase, companies should draw on wins from phase one and create a detailed roadmap for extending transformation to other areas of the enterprise. Additionally, identifying benchmarks to digitize functions and operations allows companies to prepare for a full-fledged digital transformation. In this phase, it is also helpful for the organization to start “industrializing” data analytics—using analytics as a resource for each operation.

3. Organizing for sustained performance 

Involves building long-term systems and working towards using new data-driven strategies. As the company continues to sketch its transformation roadmap, it should standardize data-based systems for an effective output. Finally, to ensure sustainability of adopting digital processes, companies should constantly encourage new ways to use data.

 

Data-Driven Transformation_ex02_tcm-156856

 

SOURCE:  https://www.bcg.com/fr-ca/publications/2017/digital-transformation-transformation-data-driven-transformation.aspx?linkId=52354074&redir=true

Want to learn more?
Download the ebook
Related blog articles

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
17
Juillet 2018

Where do food manufacturers begin the journey toward smart manufacturing?

English
11
Juillet 2018

Executives and the Transformative Digital Experience in IIoT

English
18
septembre 2019

Event CEO Networking

English

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
21
Août 2019

Le partenariat qui fait toute la différence !

Le produit Al Scheduler d’Ailytic et le TileBoard de Worximity pour ses lignes d’embouteillage, Jidvei Wines s’est transformé en une usine intelligente.

French
18
Avril 2019

Industrie Agro-alimentaire: Les vraies opportunités résident dans l'intelligence artificielle

L'intelligence artificielle fait progressivement son entrée dans l'industrie agroalimentaire et elle est définitivement là pour rester. Apprenez-en plus sur les opportunités découlant de l'investissement dans un avenir prometteur avec l'IA.

French
15
mai 2019

Un nouveau regard sur l'industrie de la production alimentaire avec l'intelligence artificielle

Des changements importants seront observés dans l'industrie alimentaire avec les investissements en intelligence artificielle qui sont à l'ordre du jour d'un nombre croissant de dirigeants.

French