Data-Governance-Strategy-Implementation

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 should be the best guidelines to follow and mistakes to avoid? In Orange Business Expert Podcast we strive to answer business questions in the domain…

Premium Data Governance: 14 best practices

Replay | 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 deploy Data Governance? Take advantage of our many years of experience in data governance to learn about their best practices… What are the key topics…

Data and AI: should you build your own company platform in the cloud?

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, new disruptive technologies for IT Departments are driving AI, and the cloud is offering the means to manage all the complexity with agility! When the…

Why you could do so much more with your digital data?

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 business, customer, and IT operations. Download the new ebook to find out how. Digital transformation is providing enterprises with an opportunity to deliver greater convenience…

DataOps: data specification and documentation recommendations for Big Data projects

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 ensuing projects and adding value to all the company’s data. Specific characteristics of Big Data projects A modern Big Data architecture should help: generate output…

Data Gouvernance : ce que -gérer les données comme un actif- signifie vraiment

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 competitiveness, improve services offered or simply comply with regulatory obligations, there is a widespread consensus nowadays that data management is important, and not only have…

Data Scientist/Data Engineer: the skills required to give you a head start in Data Science

Data Scientist/Data Engineer: the skills required to give you a head start in Data Science

Back in 2012, the Harvard Business Review published an article with a somewhat revealing title: “Data Scientist: The Sexiest Job of the 21st Century”. Years later, we revisit this vision in the light of technological developments, namely in the field of Artificial Intelligence. The profession is currently enjoying a surge in popularity and that is…

Which data governance approach to adopt: Top-Down or Bottom-Up?

Which data governance approach to adopt: Top-Down or Bottom-Up?

In this series of articles, we will discuss the various strategies that can be used to implement data governance. After having listed the reasons for which setting up data governance is important in the previous chapter, this next section describes the Top-Down and Bottom-Up approaches in detail. To conclude, we will look at a hybrid…

Comment choisir la stratégie d'implémentation d'une gouvernance de données ?

How to choose a data governance implementation strategy?

In this series of articles, we will discuss the various strategies that can be used to implement data governance. This first chapter will remind you of the context and explain why data governance is a must for all companies wishing to successfully complete their digital transformation, the challenges involved and which strategy to adopt. Whether…

Big Data Blog Series: Part 1, Defining Big Data

Big Data Blog Series: Part 1, Defining Big Data

The Big Data blog series will explore the definitions of Big Data, business benefits, requirements & readiness, tools & technologies, and overarching success tips with risk mitigation. Big data can deliver transformational benefits and enable enterprises to outperform their competitors by 20% in each financial metric. Sound attractive? Yet, ask someone close to you to…

Premium [WHITE PAPER] From Big Data to Big Busine$$

Livre blanc | [White paper] From Big Data to Big Busine$$

This Big Data white paper, entitled “From Big Data to Big Busine$$”, is available for free download. The whitepaper demonstrates the relevance of Big Data in today’s business environment. We are now out of the experimentation phase, and are entering into the everyday implementation and usage of Big Data by marketing and in other disciplines…

Kiss My Data

The 7 Temptations of Big Data Part 2

This post present the 7 temptations to avoid with Big Data. Huge volume of datas, news sources and new types of datas, unstructured datas...

Les 7 tentations du Big Data… auxquelles il faut céder ! (1ère partie)

The 7 Temptations of Big Data (Part 1)

Big Data continues to buzz and feed the wildest expectations in organizations. This first post shows the first 3 temptations of Big Data.

BI vs Big Data

Business Intelligence versus Big Data: Intelligent Information

This article addresses choosing between the use of Business Intelligence technologies or Big Data for processing information.

Avec le Big Data, l'entreprise entre dans une nouvelle ère

Big Data Leads Companies into a New Era

The world of Business is beginning to realize the potential of an inexhaustible commodity that has been neglected until now: the Big Data.

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