Conclusion
Enterprise Information Systems (IS) and how to lead Big Data projects.
Quizzed article REF: H5080 V1
Conclusion
Enterprise Information Systems (IS) and how to lead Big Data projects.

Author : Pierre DELORT

Publication date: November 10, 2017, Review date: May 10, 2021 | Lire en français

Logo Techniques de l'Ingenieur You do not have access to this resource.
Request your free trial access! Free trial

Already subscribed?

4. Conclusion

Today, CIOs are discovering that consulting, service and technology providers can make a new contribution to their company's performance through the use of more powerful data-driven models.

As we've seen, finding these models requires a number of methods, firstly to identify favorable domains, and secondly to discover high-performance models in massive data.

Now, if high-performance models are relatively easy to find, the difficulty lies in inserting them into the right decision mechanisms or operations for performance improvements (of the highest order, revolving around Cost, Quality, Flexibility, Lead Time or Service).

We find that the earlier these objectives are taken into account in the overall approach, the better the integration and hence the results will be. This goes hand in hand with the multiple changes...

You do not have access to this resource.
Logo Techniques de l'Ingenieur

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource. Click here to request your free trial access!

Already subscribed?


Ongoing reading
Conclusion

Article included in this offer

"Digital documents and content management"

( 71 articles )

Complete knowledge base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

View offer details