Data Boost

Data Boost

If your systems generate data of average quality, incomplete, or not used at its full potential, you miss opportunities to drive more value. You need a data boost project.

Data Boost is a set of services to improve all aspects of data collection, enrichment, transformation, protection, governance, and visualization.

Efficient data management will create value if each data point is part of a conscious effort to capture a business reality, leading to clarity, insights, and data-driven decisions.

We give your organization a competitive edge based on your first-party data.

Related case studies and articles

Why do you need a critical number on all your projects? Why do you need a critical number on all your projects?

Why do you need a critical number on all your projects?

We developed a methodology to help our clients design critical numbers for all their projects. It has become an essential part of our toolbox to ensure that a project: delivers value, serves a business objective, is judged on objective success criteria.

read 9 minutes read
How Do Good Processes Produce Good Data How Do Good Processes Produce Good Data

How Do Good Processes Produce Good Data

Good data is the basis of good decisions in companies. Good data is also necessary to enjoy the benefits of business intelligence and machine learning. It is then surprising how much corporates spend on shiny technology versus producing good data.

read 6 minutes read
How to Design an Effective Dashboard? How to Design an Effective Dashboard?

How to Design an Effective Dashboard?

In a world where we have too much data, building an effective dashboard involves many design decisions. This article gives a step-by-step guide to creating effective dashboards. 1. Start with the End in Mind To make sure the dashboard will be effective, you need to place your target first.

read 5 minutes read
The Five Rules of Process Mining The Five Rules of Process Mining

The Five Rules of Process Mining

Process Mining merges process modeling and data mining to explain how systems, processes, users, context, and data operate together. It is a specialized branch of data science that delivers more and more insights to corporates.

read 4 minutes read
Sesame Asie Podcast Interview (French) Sesame Asie Podcast Interview (French)

Sesame Asie Podcast Interview (French)

Our CEO, Stephane Monsallier was interviewed for the podcast Sesame Asie by Raphael Seghier . The interview is in French. With 17 years of experience in China, our CEO reflects on the many changes in all the Chinese society’s layers.

read 2 minutes read
Cybersecurity: Solutions to Keep the Data Safe Cybersecurity: Solutions to Keep the Data Safe

Cybersecurity: Solutions to Keep the Data Safe

We are very honored to be invited to the CCIFC Shanghai Office, with our partner Adamas , to speak about Data Protection, Cybersecurity, and Technology on January 14th. Since the implementation of the Cybersecurity Law in 2018, China’s cybersecurity legal system has been improving and refining.

read 1 minute read
Data Lie Detectors - 7 Ways to Spot and Stop Data Lie Detectors - 7 Ways to Spot and Stop

Data Lie Detectors - 7 Ways to Spot and Stop

Companies collect, store, process, and analyze data to make decisions. But the data is lying, the decision may not be the best, despite great care and effort. Why would data lie to you?

read 6 minutes read
Data-Driven Corporate Culture Data-Driven Corporate Culture

Data-Driven Corporate Culture

The current crisis has changed the way we do business forever but in hindsight, it has also given us the time to reflect on our habits and lean more towards efficient business practices, towards a data-driven corporate culture.

read 11 minutes read
Lesaffre - How can I.T. demonstrate its value? Lesaffre - How can I.T. demonstrate its value?

Lesaffre - How can I.T. demonstrate its value?

Most business users worry about technology when it does not work. I.T. department seldom receives praise for extended periods without incidents, in other words, when nothing happens. Instead, they only hear about the one time the service got interrupted.

read

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