Data Strategy
The digitalization of society is generating an exponential growth in the production of data. But while the value of data is now unanimously recognized, it’s not possible to capitalize on it effectively without a clearly defined strategy.
Data has become a strategic asset with high added value for companies and organizations, and must be put to work to meet business challenges and objectives. A winning data strategy combines multiple axes: uses, ethics, data governance, organization, methodology, architecture,... The objective? To ensure that all the data collected is reliable and usable so that it can be used, shared and enhanced, for the benefit of customers and employees.

How to put Data at the heart of your business strategy?
The importance of thinking & building your data strategy has never been greater in the era of Big Data, where up to 87% of corporate data is not being fully exploited. So how can you...

Data Governance: How to maximize the value of your organization’s data?
Data has become what we can call a “digital lifeblood” for many companies. Following the same image as oil, Data needs to be extracted, stored, and transformed to create value...

How to maximize your ROI with your Data Analytics?
We have seen a lot of evolution in analytics these past years using new modern technologies & solutions but also by collecting more and more data, but what about the...

How to exploit company Data regardless of activity sector?
It is often said that data is the new oil. But although data is everywhere, most of it is often stored away, completely untapped by businesses. So, how to make...

Golden rules for businesses when moving to the Cloud
We already know why Cloud Data Platform are a new Eldorado for enterprises. Cloud Technology is accelerating companies in their digital transformation journey by offering an infinite scalability, a centered...

Data Governance: how to build a successful Data Culture?
It is crucial to pay a particular attention to the use and adoption of Data Governance regarding any new initiative, whether it is an innovation or the deployment of a...

7 Reasons Why your Analytics may not deliver ROI
It is time to talk about the elephant in the room: Why is ROI so elusive in analytics? Sure, it is difficult to quantify the value of analytics, but most...

Trends & Innovation in Data Governance
Recent trends & innovations make Data Governance increasingly important for companies. However building your Data Governance can be difficult at first, as it needs to be embed, structured and organized...

Building the Data Governance business case
We all know we should do it but how? Building a business case for a Data Governance initiative is not easy. And without it, getting any initiative started and funded...

What is the best approach to implement Data governance?
Many organizations already initiated their digital transformation or at least already thought about it for several reasons (legal purpose or business model changes). To complete successfully their digital transformation Data...

How to build a successful Data Governance strategy?
Implementing a Data Governance strategy is key to achieve a successful and sustainable data centric journey. But what are the current challenges to launch such initiative in a company? What...

Data Governance: 14 best practices
Today's business ambition is to use data to make better and faster decisions and become data-driven organizations. However, implementing true and effective data governance could be a challenge! How to...

Data and AI: should you build your own company platform in the cloud?
Cloud, Data and AI: the ultimate buzzword trio… Companies' expectations in these fields today run extremely high due to their promising transformation and value creation potential. Data volumes are skyrocketing,...

Why you could do so much more with your digital data?
Companies that have digitally transformed produce vast volumes of digital data that offer novel opportunities for data monetization. Build a data strategy to unlock new and eclectic use cases across...

DataOps: data specification and documentation recommendations for Big Data projects
To exploit the full potential of Big Data projects, proper data documentation is essential. DataOps principles help set up an adequate approach - a prerequisite for the success of all...

Data Governance: what it truly means to "manage data as an asset"
In today's world, you'd be hard-pressed to find an organization, private or public, that is not actively reconsidering the role played by data in its business model. Whether to ensure...