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 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...
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...
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...
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...
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...
![[White paper] From Big Data to Big Busine$$](https://en.blog.businessdecision.com/wp-content/uploads/2016/03/WP-big-data-business-900x460.jpg)
[White paper] From Big Data to Big Busine$$
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...
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...
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.
Business Intelligence versus Big Data: Intelligent Information
This article addresses choosing between the use of Business Intelligence technologies or Big Data for processing information.
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.