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
The 3 Central Tasks of Data-Driven Transformation

 

 

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

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
6
Mar 2019

How Can Manufacturers Drive Value With Innovative Technologies?

English
26
Sep 2019

L'apprentissage profond avancé - diagramme de points chauds en IA

French
5
Jul 2018

IIoT Talent: Sébastien Dion, Wx Backend Developer

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
15
Nov 2019

IIoT and Continuous Improvement

The IIoT is impacting quality improvement initiatives like Continuous Improvement and Lean Manufacturing.

English
22
Aug 2019

Guide to Continuous Improvement Resources

This handy guide lists Continuous Improvement resources, videos, events and more!

English
3
Aug 2018

Employee Involvement and Continuous Improvement: How to Make Your Company's Transition Work

Implementing a Continuous Improvement culture can be hard. Here are few tips to get started.

English