Data Strategy
Data Governance and Data Management: what’s the difference?
In a world where companies’ ambition is to be data-driven, data governance and data management are still too often regarded as being synonymous. Let us clear up the confusion. Data governance stakes and objectives Data lies at the heart of every organization. Well-maintained data helps in making smart decisions, giving businesses an edge over their…
Premium
Data Governance
Replay | Let’s win the Data Mesh Battle: the winning alliance between Data Architecture and Data Governance
The Data Mesh vision has brought to light the various challenges that companies face in managing and effectively utilizing their data. This is not a new challenge, as it has been a critical issue for the past 40 years, leading to an ongoing struggle between the IT and business departments, each trying to control the…
Featured content
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Premium
Data Trends
Replay | The missing pillars in the Data Mesh approach
Is Data Mesh a utopia? For two years now, the concept of Data Mesh has been seen as a revolution in the world of data since it would fill the gaps when it comes to data centralization on a platform. But in practice, the Data Mesh concept should not be considered as a key recipe…
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Premium
Data Strategy
Livre blanc | Spiderman guides you towards a data-driven company
There is tremendous enthusiasm for Data Mesh. And for good reason: we finally have a complete framework for valuing data at company level. This white paper offers you a deep dive into the concept of Data Mesh to understand the ins and outs and get the keys to apply it to your organisation. A full…
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Data Trends
Data Mesh, a total data-driven model
Through its four main pillars, Data Mesh truly moves away from the dogma of centralisation and all-technology in favor of a global approach based on federation. Data Mesh thus promises to be at the heart of company data strategies and organisations. 1- Data Mesh: the ultimate model for data-driven companies?2- Data domains: Data Mesh gives…
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Data Trends
#Data #AI: 7 hot topics for 2023
The 7 hot topics Data and AI of this 7th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2023? This year, we decided to ask the question directly to those who are on the front line: Chief Data Officer, Data Transformation Managers, Data Strategy Managers,…
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Data Trends
Data Mesh: Practical examples and feedback
Mastering data and its uses to create value is an ambition that is increasingly shared. However, organisations continue to face obstacles that Data Mesh could help to overcome… provided the transformation is successful and the whole company is brought together. 1- Data Mesh: the ultimate model for data-driven companies?2- Data domains: Data Mesh gives business…
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Data Trends
Data Mesh: federated governance to guarantee efficiency
Data governance is an essential part of any data strategy. Nevertheless, it remains complex to deploy in a traditional organisation, but through its federated approach, Data Mesh is able to remove obstacles. In this article, we explore the fourth and final pillar of Data Mesh, known as Federated Data Governance. 1- Data Mesh: the ultimate…
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Data Trends
Data infrastructure self-service as the technological driving force behind Data Mesh
Data Mesh is not strictly speaking a technological approach, but data domains need powerful technical resources to develop their products. The data platform and its infrastructure are a facilitator for unifying initiatives and rationalizing the technologies used. This requires essential characteristics in terms of agility and automation for on-demand or self-service resource consumption. The Self-Service…
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Data Trends
Data Mesh: data is a product
Oil, digital black gold, strategic asset… With Data Mesh, data is regarded as a product. Data domains are responsible for managing the life cycle of these products and for sharing and promoting them throughout the organisation. This structuring into data products is the second of the four pillars of Data Mesh. 1- Data Mesh: the…
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Data Trends
Data domains: Data Mesh gives business domains superpowers
The Data Mesh concept is based on four main pillars, the first of which is an organisation divided into data domains. To be effective, this structure must reflect the business reality of the company and the interactions between its various entities. It therefore presupposes a high degree of proximity to businesses. 1- Data Mesh: the…
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Data Trends
Data Mesh:The ultimate model for data-driven companies?
A new paradigm for data management, Data Mesh breaks with data centralisation models used for the past 30 years. Its foundations: federated decentralisation and redistribution of responsibility for the benefit of strong company commitment. This article is the first in a series that we are dedicating to Data Mesh. This concept brings together all the…
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Data tutorials, tools and languages
Spark Structured Streaming: performance testing
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to…
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Integrating AI and Data Science
Green AI: Responsible artificial intelligence is also frugal
When it comes to Artificial Intelligence, it’s not only about improving performance at any costs. Its benefits along its adoption requires AI to be responsible by also including an environmental side. Taking environmental issues into account is no longer an option. The IPCC’s April 2022 report is clear. It is also, pun unintended, one of…
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Data tutorials, tools and languages
Spark Structured Streaming: from data transformation to unit testing
Spark is an open-source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python). It has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to a…
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Integrating AI and Data Science
AI Industrialization: the key steps to a MLOps approach
The industrialization of artificial intelligence – one of the 7 hot data topics for 2022 requires the implementation of MLOps. This approach includes some necessary steps, including a common platform and a feature store. To learn more about this approach, we offer you a how-to-guide for an iterative, but unavoidable transformation. After years, which were…
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Data tutorials, tools and languages
Spark Structured Streaming: from data management to processing maintenance
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to…
Must-reads from our experts
Discover the best selection of B&D posts
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Data Strategy
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 businesses even struggle with the qualitative benefits. After decades of driving analytics at businesses in various industries around the globe, we would like to share…
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Data Visualization
Are you ready to challenge your Dashboard?
Humans are visual creatures, more than fifty percent of our brain is involved in visual processing. This is why it is really important to understand how to create an effective dashboard which must directly highlight your main results at first glance. Discover in this webinar some best practices to create effective dashboards that bring value…
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CRM
CRM Projects: how to optimize your Return On Investment?
After having emphasised the importance of rooting CRM projects in a strategic vision and auditing the available (and required) data capital, we broaden the scope of discussion to include the major changes that companies must undergo to remain competitive today, namely with respect to what we have termed “internal culture,” one of our 3 CRM…
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Data Strategy
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…
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Data Trends
Data Careers: what skills do you need to exploit data?
Data professions are evolving and attracting an increasing number of talents. At the same time, demand from companies is soaring. But how to find your way through the various job titles? Most importantly, what skills must be developed for these careers in Data? What are the needs and where should companies start? Isabelle Barth, journalist…
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Data Strategy
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…
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Understanding AI and Data Science
Data Engineer: which training programs to choose?
To all those young people wishing to embark on a career in Data Science, my advice was to begin with a Data Engineering job rather than directly as a Data Scientist… Today, I would like to walk you through the apprenticeships and training programmes that will help you become a Data Engineer. Data Engineer: which…
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Digital Marketing: why Customer Experience First should be second nature
We have all noticed in waymarked areas those off-path trails that have sprung up on the ground or in the grass as proof of their repetitive use by pedestrians. Indeed, who has never chosen to cut across a park rather than follow the designated, longer route? It is this very observation that clues us in…
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Data Strategy
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…
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Data Strategy
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…
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Digital transformation, a key for business competitiveness
Digital transformation has an obvious impact on overall business performance. This article reviews some key themes (business model, organization, change management) to address the transformation.
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Data Trends
How to create dashboards that can be read and understood by all (finally!)
In a world where the amount of data is growing exponentially, it is becoming increasingly difficult to design efficient and effective dashboards. How then can marketing managers, department heads and leaders use Dataviz to successfully conceive and create efficient, easy-to-read dashboards? Do the following remarks sound familiar to you? “I want ALL the questions to…
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Data tutorials, tools and languages
How to use the Python integrator in PowerBI?
The Python integration in Power BI is a huge step forward from Microsoft. It opens a wide range of possibilities in terms of extracting and cleaning your data as well as creating nice-looking and full customized visuals. Let’s see how it works and how to set-up your Python environment in your Power BI Desktop. As…
Data & AI culture
View all contentsData is a major company asset. Mastering the collection, analysis & processing of data offers a significant competitive advantage for companies. In addition, Data is a key element to empower & drive Artificial Intelligence (AI).
Our data and AI experts discussed how to implement a data centric strategy. They considered the corporate culture to be developed as well as the methods and tools to achieve a data-centric strategy enhanced by Artificial Intelligence, which will, ultimately, convert data into value.
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Data Trends
#AI: 7 hot topics for 2025
The 7 IA hot topics of this 9th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2025? Here our videos to find out the answers with images. Discover the new edition of the 7 IA Hot Topics of the Year! The program: AI agentic… let’s…
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Data Strategy
Data Governance and Data Management: what’s the difference?
In a world where companies’ ambition is to be data-driven, data governance and data management are still too often regarded as being synonymous. Let us clear up the confusion. Data governance stakes and objectives Data lies at the heart of every organization. Well-maintained data helps in making smart decisions, giving businesses an edge over their…
-
Data Trends
The missing pillars in the Data Mesh approach
Is Data Mesh a utopia? For two years now, the concept of Data Mesh has been seen as a revolution in the world of data since it would fill the gaps when it comes to data centralization on a platform. But in practice, the Data Mesh concept should not be considered as a key recipe…
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Data Strategy
Spiderman guides you towards a data-driven company
There is tremendous enthusiasm for Data Mesh. And for good reason: we finally have a complete framework for valuing data at company level. This white paper offers you a deep dive into the concept of Data Mesh to understand the ins and outs and get the keys to apply it to your organisation. A full…
-
Data Trends
Data Mesh, a total data-driven model
Through its four main pillars, Data Mesh truly moves away from the dogma of centralisation and all-technology in favor of a global approach based on federation. Data Mesh thus promises to be at the heart of company data strategies and organisations. 1- Data Mesh: the ultimate model for data-driven companies?2- Data domains: Data Mesh gives…
-
Data Trends
#Data #AI: 7 hot topics for 2023
The 7 hot topics Data and AI of this 7th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2023? This year, we decided to ask the question directly to those who are on the front line: Chief Data Officer, Data Transformation Managers, Data Strategy Managers,…
-
Data Trends
Data Mesh: Practical examples and feedback
Mastering data and its uses to create value is an ambition that is increasingly shared. However, organisations continue to face obstacles that Data Mesh could help to overcome… provided the transformation is successful and the whole company is brought together. 1- Data Mesh: the ultimate model for data-driven companies?2- Data domains: Data Mesh gives business…
-
Data Trends
Data Mesh: federated governance to guarantee efficiency
Data governance is an essential part of any data strategy. Nevertheless, it remains complex to deploy in a traditional organisation, but through its federated approach, Data Mesh is able to remove obstacles. In this article, we explore the fourth and final pillar of Data Mesh, known as Federated Data Governance. 1- Data Mesh: the ultimate…
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Data Trends
Data infrastructure self-service as the technological driving force behind Data Mesh
Data Mesh is not strictly speaking a technological approach, but data domains need powerful technical resources to develop their products. The data platform and its infrastructure are a facilitator for unifying initiatives and rationalizing the technologies used. This requires essential characteristics in terms of agility and automation for on-demand or self-service resource consumption. The Self-Service…
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Data Trends
Data Mesh: data is a product
Oil, digital black gold, strategic asset… With Data Mesh, data is regarded as a product. Data domains are responsible for managing the life cycle of these products and for sharing and promoting them throughout the organisation. This structuring into data products is the second of the four pillars of Data Mesh. 1- Data Mesh: the…
-
Data Trends
Data domains: Data Mesh gives business domains superpowers
The Data Mesh concept is based on four main pillars, the first of which is an organisation divided into data domains. To be effective, this structure must reflect the business reality of the company and the interactions between its various entities. It therefore presupposes a high degree of proximity to businesses. 1- Data Mesh: the…
-
Data Trends
Data Mesh:The ultimate model for data-driven companies?
A new paradigm for data management, Data Mesh breaks with data centralisation models used for the past 30 years. Its foundations: federated decentralisation and redistribution of responsibility for the benefit of strong company commitment. This article is the first in a series that we are dedicating to Data Mesh. This concept brings together all the…
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Data Strategy
Data-Driven Culture: When Business & IT meet
It goes without saying that today data is powerful when it is shared across different departments in an organisation. But silos are sometimes still present, with the risk of having several versions of the truth and thus having a negative impact on society in a long-term perspective. So how can we get rid of these…
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Data Strategy
How Lausanne Tourisme unleashes the power of data
How to offer a better experience to your visitors based on your data? At a time when data is at the heart of our activities, it is crucial to know how to properly organise and structure your data strategy in line with your business strategy. What are the final objectives? What data should be valued?…
Data Science / AI
View all contentsData Science leverages data and uses the most advanced technologies and algorithms to create knowledge and drive predictions. By developing analytical models, it makes possible to explain, predict and automate decisions.
Data Science is the root for Artificial Intelligence and its uses are exploding. There are many disciplines that are related to Data Science: Artificial Intelligence, which includes Machine Learning and Deep Learning, Statistics, Data Preparation, Data Visualisation (Dataviz).
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Integrating AI and Data Science
Green AI: Responsible artificial intelligence is also frugal
When it comes to Artificial Intelligence, it’s not only about improving performance at any costs. Its benefits along its adoption requires AI to be responsible by also including an environmental side. Taking environmental issues into account is no longer an option. The IPCC’s April 2022 report is clear. It is also, pun unintended, one of…
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Integrating AI and Data Science
AI Industrialization: the key steps to a MLOps approach
The industrialization of artificial intelligence – one of the 7 hot data topics for 2022 requires the implementation of MLOps. This approach includes some necessary steps, including a common platform and a feature store. To learn more about this approach, we offer you a how-to-guide for an iterative, but unavoidable transformation. After years, which were…
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Data and AI news
#Data / #AI: our experts analyze the trends for 2022
In 2022, data and AI are more than ever a key priority for companies. For the sixth consecutive year, Orange Business is presenting the key trends in Data and AI topics for businesses. Discover more in this webinar available in replay (and in English for the first time!) Our experts will comment and give you…
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Data and AI news
Artificial Intelligence to better protect us in times of pandemics
Artificial Intelligence & Machine Learning technology are playing a key role in better understanding pandemics. More specifically, AI can support decision makers in taking the right actions to handle a pandemic. We discussed with Dr. Pieter Libin, Professor at the AI lab of the Vrije Universiteit Brussel, how Artificial Intelligence, and more precisely, Reinforcement Learning,…
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Integrating AI and Data Science
Data Science applied to Vertical Farming: the future of sustainable farming
By 2050, there will be over 6.5 billion people living in urban spaces according to a United Nations report, making it a real future challenge to feed them all. Vertical farming is becoming a critical component of agriculture’s future. This concept aims to optimize plant growth and soilless farming techniques using as little space and…
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Integrating AI and Data Science
Data Ethics/AI Ethics: the 2 faces of a responsible future
Artificial Intelligence is at the heart of all attentions and concerns right now. Did you know that the real difficulty with Artificial Intelligence is not the algorithms, nor the design of the models but it is above all the Data! And yet, Data is increasingly distrusted today. How to solve that and produce trusted &…
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Integrating AI and Data Science
Artificial Intelligence: Stay in control of your future!
If there is one topic that really ignites passion and fuels all ideas and discussions in the world of new technologies, it’s Artificial Intelligence. What are the opportunities for enterprises? How to launch AI projects? What are the best practices, benefits, and risks? You will find all the answers in this white paper, available and…
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Integrating AI and Data Science
Statistics versus Machine Learning: should they really be opposed?
This “seemingly” old debate deserves to be revisited with fresh perspective. Data Science (such as Big Data) is a constantly evolving field with nowadays proven applications namely in the fields of customer knowledge and marketing… Statistics and machine learning in the era of Data Science and customer knowledge Even though the field of application is fairly recent, the basic methods used in Data…
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Integrating AI and Data Science
The 5 key Data Science practices
In the wake of Big Data, many companies embarked on the Data Science journey, the field having established itself as the inescapable route towards Big Data transformation into knowledge and actions. Discover in this blog article the 5 key practices to observe in order to ensure project success. 1. Methodology Data Science methodology is essentially agile and iterative. It derives from inductive reasoning, which…
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Understanding AI and Data Science
Can a whole Data Science project be done using R or Python?
For several years now, many Data Scientists have found themselves turning to “language” command line tools, such as R and Python, to deal with Big Data. But can you really undertake a whole Data Science project solely armed with these two technologies? The evolution of Data Science tools Looking back on the evolution of what is known today as Data science, (which,…
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Integrating AI and Data Science
The key to Data Science success is the CRISP methodology
The CRISP methodology (originally known as CRISP-DM), first developed by IBM in the 60s for data mining projects, remains, today, the only truly efficient process used for Data Science projects… CRISP methodology: User guide The CRISP methodology includes 6 steps that range from business understanding to deployment and implementation. 1. Business understanding The first step involves acquiring a good understanding of the business elements and issues that Data Science aims to improve or solve. 2. Data…
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Understanding AI and Data Science
Does Auto-Machine Learning (AutoML) really exists?
Automated machine learning (AutoML) has existed since 1990, it was considered as a silent revolution in the Artificial Intelligence (AI) field. When we analyze the term AutoML, we see that it refers to two words, Automated and Machine Learning. Machine Learning with its different types of learning Supervised (Labeled data) Unsupervised (Unlabeled data) Semi-supervised (A…
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Integrating AI and Data Science
Data Science and AI: how to properly scope your business projects?
An increasing number of companies are opting for data-driven strategies and embarking on marathon Data Science and Artificial Intelligence projects, in the hope of sharing the benefits of new technologies and data. What is the best way to ensure the success of Data Science or Artificial Intelligence projects? Which players will help effect change and…
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Understanding AI and Data Science
Data Science: the 4 obstacles to overcome to ensure a successful project
The last five years we have seen the number of Data Science projects carried out by Orange Business in various sectors, such as the oil industry, telephony, retail and services, rise significantly. However, some difficulties must be overcome in order to efficiently implement these types of projects. Explanation. First of all, let us not forget…
Data Marketing
View all contentsData Marketing, or Data-Driven Marketing, is the analysis and use of data in order to carry out effective and personalised marketing actions, through the optimised targeting of prospects and customers.
Data Marketing tools have now reached their maturity, and Orange Business’s experts can support you in implementing such solutions. How can you go one step beyond? By combining a perfect control of your data with the use of artificial intelligence (AI).
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Customer Experience
Why is UX design so important for your digital products?
The interest of companies in UX Design is growing and becoming necessary for companies. The aim is to constantly improve the relationship between man and machine through interaction. Why is UX Design is so important when we implement a new digital product? Our UX Design Expert, Jérémy Goldyn in our podcast will shed light on…
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Business Marketing
Marketing automation: How to perform successful campaigns?
More and more businesses are using Marketing automation in their strategies. By automating repetitive marketing processes, it helps to create a personalized offer for the user by delivering content on time. Overall, it helps to engage with both prospects & customers in a smart & efficient way. But where to start with Marketing automation? How…
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Business Marketing
Digital marketing: from consent management to zero-party data
How to differentiate yourself from your competitors? The issue is now more critical than ever. In a previous blog article, we talked about Responsive Customer Experience, a new marketing paradigm that should help brands stand out amongst competitors. Nowadays, brands have no choice but to go the extra mile: they must know how to customise,…
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Business Marketing
Digital Marketing: your business repositories are more valuable than you think
We provided in a previous article the definition of Responsive Customer Experience, a new marketing paradigm that allows brands to stand out significantly. However, the challenge lies in managing to take several steps (faster than your competitors) in order to dynamically customise all customer interactions according to their choices, behaviours and objectives. In order to…
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Customer Experience
Customer Experience: a new digital marketing paradigm
Customer Experience has been at the forefront of marketing agencies’ and departments’ discourse for a number of years…and more importantly, a key enabler for the transformation of customer paths and companies’/administrative bodies’ internal processes and organisation. When it comes to business, digital transformation’s reach can be so deep that it warrants the modification of business…
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Customer Experience
5 new Customer Engagement trends reshaping the Digital landscape
To some extent, our habits and way of living may be changed forever by the pandemic that started in 2020. Nevertheless, the goal of digital marketers has remained the same: providing a consistent customer experience across every channel through every step of the customer’s journey. This new pandemic situation has brought a huge shift in…
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Customer Experience
Digital Customer Experience with Chatbots
Customers are placing more and more value about their own experience and have higher expectations in terms of availabilities, time to answer, self-service tools and easier messaging conversation solutions. In addition there is an increasing pressure for efficiency for businesses which results with a limited customer service and many new challenges for businesses. To answer…
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Customer Experience
The 10 golden rules of Total Experience
During the past pandemic, customers all over the world had not much alternatives but to shop online. It is a habit that people will maintain also once life returned to normal. The COVID crisis demonstrated a split in companies and the way they managed this run to digital. We can distinguish already 2 types of…
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CRM
Marketing Strategy: why and how to implement a Customer Data Platform
In my previous article, I explained that, this year again, we would see a surge in business digitalisation, and that this would accelerate some already observed trends: namely, hyper-automation, AI directly embedded in business processes, Responsive Customer Experience… And I concluded with enterprises’ increasingly high expectations: i.e. support beyond new CRM platform implementation and third-party maintenance. In this…
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CRM
Software is (still) eating the world
Around mid-December, a big private tourist estate in Ile-de-France (region of France) launched an email campaign to ask its customers for help, in the wake of the disastrous year that had been 2020. Options offered by the company were the purchase of visit tickets, that could be used during the holiday season or later, or donations. However, there…
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Customer Experience
Is your marketing science?
Is marketing science or art? It seems that the only correct answer to this good old question is “a bit of both”. That being said, its scientific dimension has gained some serious ground over recent years, a fact which the following article explores further… My first job, when I first started working in marketing some 20 years ago, involved conducting market…
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Customer Experience
Customer Experience: high quality performance starts with data collection
At a time when digital transformation projects have been given a boost by the worldwide lockdown situation and the need to develop remote collaboration as well as online sales activities, we feel it would be interesting to propose a new framework for thinking about marketing and sales company data. In this day and age of ad blockers, regulatory constraints, imminent end of…
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CRM
The 3 pillars of CRM-Marketing digital projects
We have initiated the publication of a series of three articles to present our current vision regarding Customer Relationship digital projects and explained in the first blog article, “CRM and artificial intelligence: how to develop and optimise your data?“, the importance of starting these projects with a strategic vision as well as an audit of…
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Digital Marketing: why Customer Experience First should be second nature
We have all noticed in waymarked areas those off-path trails that have sprung up on the ground or in the grass as proof of their repetitive use by pedestrians. Indeed, who has never chosen to cut across a park rather than follow the designated, longer route? It is this very observation that clues us in…
![Software is (still) eating the world [Partie 2]](https://orange-perspective.fac.to/wp-content/uploads/2021/02/marketing-still-eating-part2-cdp.jpg)
Digitalization
View all contentsDigitalization has created an increasing number of new uses and is contributing to innovation. Digital transformation has become a must for companies & organizations, and also affects people in their private and professional spheres.
Another key element of the digital world is connected objects. The data collected by the Internet of Things (IoT) is exponential, and efficient use of this data can yield high value.
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Data Strategy
How Lausanne Tourisme unleashes the power of data
How to offer a better experience to your visitors based on your data? At a time when data is at the heart of our activities, it is crucial to know how to properly organise and structure your data strategy in line with your business strategy. What are the final objectives? What data should be valued?…
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Customer Experience
Why is UX design so important for your digital products?
The interest of companies in UX Design is growing and becoming necessary for companies. The aim is to constantly improve the relationship between man and machine through interaction. Why is UX Design is so important when we implement a new digital product? Our UX Design Expert, Jérémy Goldyn in our podcast will shed light on…
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Customer Experience
Customer Experience: a new digital marketing paradigm
Customer Experience has been at the forefront of marketing agencies’ and departments’ discourse for a number of years…and more importantly, a key enabler for the transformation of customer paths and companies’/administrative bodies’ internal processes and organisation. When it comes to business, digital transformation’s reach can be so deep that it warrants the modification of business…
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Customer Experience
The 10 golden rules of Total Experience
During the past pandemic, customers all over the world had not much alternatives but to shop online. It is a habit that people will maintain also once life returned to normal. The COVID crisis demonstrated a split in companies and the way they managed this run to digital. We can distinguish already 2 types of…
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Innovation
How Low-Code Application Platforms bring value to your business?
In a recent study, Gartner estimates that 65% of all applications development will be low code by 2024. Why Low Code Application Platform (LCAP) is revolutionizing digital transformation for companies? We discuss with our experts how this solution enable companies to deliver quicker with simplicity & agility. Our Orange Business Expert Podcast strives to answer…
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Digital transformation
Businesses should continue their digital transformation journey despite these times of crisis
The introduction to our previous article, “Customer Experience: high quality performance starts with data collection”, quickly established that the current crisis and lockdown had caused remote collaboration and e-commerce projects to gather momentum everywhere. A statement that still holds true, especially with the new lockdown. The situation will persist and in spite of challenges, it…
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Digital transformation
Mission: Insight-Driven company, but how?
With the current exceptional period, the digitalization and e-commerce penetration are exploded these past months. More than ever businesses needs to react and their decision-making process depends a lot from data. But how can you transform your enterprise into a more insight-driven company? We share some key information with you in this pre-recorded webinar. More…
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Customer Experience
How Chatbots can improve your Customer Engagement
Customer support automation supported by AI driven knowledge management and NLP technologies is definitely making the difference for companies today. Whether for internal or external purpose, the advantages offered from Chatbots are huge regarding customer & product support. Discover more how Chatbots are revolutionizing the customer experience. Our Orange Business Expert Podcast strive to answer…
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Digital transformation
xRM, or the art of managing all business relationships through Data and Digital technology
CRM, or the art of managing customer relationships, is a concept that is familiar to all – but what if this art could be generally applied to all of a company’s assets? We will explain in detail in this article why xRM, which has become a strategic brick for vendors, is being increasingly implemented in…
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Digital transformation
How can digital transformation help non-profits change the world?
The combined budget of non-profits in France amounts to 113 billion euros, i.e. 3.3% of its GDP. The sector is a major constituent of French society and it is estimated that France is home to 1.5 million active non-profits to which no less than 22 million active volunteers and 1.8 million employees contribute their time……
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Data & AI culture
Innovation in the World of Data & Digital
Most enterprises and people have to adapt themselves with the new disruptive world and have to become creative and innovative. This crisis highlighted the fact that Innovation is what we need more than ever in such difficult times to conquer the current crisis, it also raised a new way of working and many question on…
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Digital transformation
Business: how to optimise value creation and costs in times of crisis?
The current economic downturn is forcing companies and public institutions to optimise value creation and costs considerably faster than anticipated. However, this cannot be done at any price: not only is it not the right time to invest, but also no one should expect any return on investment before 12 months… Deadlines must thus be…
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Digital transformation
ResuMe: your online job-matching tool
Currently, many people are reconsidering their career choices and look for new horizons. In the IT sector, there are various job profiles and vacancies. However, many still look alike. Therefore, I will show how ResuMe, your online personal job-matching tool, helps you to match your CV with relevant job profiles and vacancies at Orange Business,…
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Data & AI culture
How human contact is becoming a luxury good?
A new reality has appeared recently, and even more with the pandemic crisis, where human contact is more and more rare. All our interactions are held through screens which deeply transforms our way of interacting. So what can we expect in the future? What should be the perfect balance between human & digital? Personal interaction…
Data protection
View all contentsData Protection has become a vital issue for companies in just a few years. Data, well known as being the oil of the 21st century, is a major source of growth and must be safeguarded. The Information System (IS) is thus at the core of the organisations’ economic activity.
Persisting threats, the increase of cyber attacks and the need to comply with regulations such as the General Data Protection Regulation (GDPR), make IT security a major issue for all organizations.
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Data security
Green IT: a key benefit for the environment & your data security
Green IT is becoming a key issue for companies. Business processes digitization is leading to an increase in the volume of data bringing the environmental impact on the picture, which is mainly generated through the energy consumption of data centers or data management. Taking this concern into account by companies can also become a serious…
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GDPR
Data Protection and Law Enforcement Directive
The Law Enforcement Directive (LED) is a piece of EU legislation. It deals with the processing of personal data by data controllers for ‘law enforcement purposes’. In our monthly podcast we will deep dive into the subject of Data Protection and strive to share more insights & explanations on the Law Enforcement Directive with Juraj…
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Business Marketing
Digital marketing: from consent management to zero-party data
How to differentiate yourself from your competitors? The issue is now more critical than ever. In a previous blog article, we talked about Responsive Customer Experience, a new marketing paradigm that should help brands stand out amongst competitors. Nowadays, brands have no choice but to go the extra mile: they must know how to customise,…
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The GDPR and right to be forgotten: why do business have everything to gain?
The General Data Protection Regulation (GDPR) significantly increases the rights of individuals over their data. As from 25 May 2018, the effective date of the Regulation, any person living in the European Union whose personal information is held by an organisation may invoke the various articles of chapter 3 of the Regulation, such as article…
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GDPR
BCBS 239, GDPR: why must banks focus on data governance?
The banking sector is currently passing through a period of transition due to new regulations. Today, new technologies are playing a key role in helping the industry to address the main problems that face it in achieving compliance with this mass of legislation. A sign of the times: these technologies have been nicknamed “Regtech” The…
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GDPR
The basics of data mapping in the age of the GDPR
Now organisations are preparing for the entry into force of the GDPR (General Data Protection Regulation) in 2018, the first stage for many of them will be to acquire an overview of their whole information chain.
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GDPR : what obligations for data controllers?
After our article GDPR: what new rights for your personal information?, we go further into what the general regulation brings to data protection. As well as extending the rights of people whose personal data is processed, the General Data Protection Regulation puts a wide range of obligations onto the bodies that process the data. To…
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GDPR
GDPR: what new rights for your personal information?
The GDPR strengthens and clarifies the rights of physical persons whose personal information is processed, and the obligations of entities that handle the processing of such data.
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GDPR
GDPR: 1 minute to understand and take action
The GDPR (General Data Protection Regulation) is an hot topic for 2017. Here is a video to find out the answers with images. Watch here!
Technologies
View all contentsThere are many technologies for implementing Big Data and AI. With a preponderance of the open-source eco-system (around Apache Hadoop), the domain is very innovative. NoSQL databases (MongoDB, HBase, CouchDB or Redis for example), application architectures (Data Lake), cloud infrastructures, integration tools (Talend, Nifi…), tools and languages for data science and AI (Python, Scala, Knime, Dataiku…), data virtualization, in-memory…
Technologies are multiplying and choices can be bewildering. Discover the fundamentals of available technologies, and take advantage of our tutorials dedicated to Data tools and languages.
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Data tutorials, tools and languages
Spark Structured Streaming: performance testing
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to…
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Data tutorials, tools and languages
Spark Structured Streaming: from data transformation to unit testing
Spark is an open-source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python). It has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to a…
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Data tutorials, tools and languages
Spark Structured Streaming: from data management to processing maintenance
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche in Big Data projects thanks to its ability to process high volumes of data in batch and streaming mode. Its 2.0 version introduced us to…
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Data Strategy
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 and shared data and an easy infrastructure maintenance for businesses. But let’s take a look a little bit deeper and ask ourselves what are the…
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Data Visualization
Color in Dashboarding: a Love-Hate relationship
When it’s time to add some colors in your dashboards, it can easily get complicated to make the good choice for an understandable result by all. Colors have a strong impact on your dashboard, they have a meaning and need to be used wisely for an effective result. In this on-demand webinar, Jean-Philippe Favre, Data…
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Data Visualization
How to create efficient data storytelling dashboards?
Designing dashboards today seems a very simple task, thanks to modern BI tools. However designing efficient dashboards that are useful and that people want to use is not the same story. A good dashboard must follow specific rules that our Data Artists experts explained in this webinar available in replay. How to tell Data-Stories in…
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Data Trends
Implementing a Cloud Data Platform: The Do’s and Don’t
The Cloud is presenting great opportunities in terms of performance and scalability for companies. However, considering some golden rules as a starting point to mitigate risks and ensure your company is ready for a successful cloud strategy implementation is highly advisable. We already stated how powerful Cloud Data Platforms are for companies, enabling new…
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CRM
Marketing Strategy: why and how to implement a Customer Data Platform
In my previous article, I explained that, this year again, we would see a surge in business digitalisation, and that this would accelerate some already observed trends: namely, hyper-automation, AI directly embedded in business processes, Responsive Customer Experience… And I concluded with enterprises’ increasingly high expectations: i.e. support beyond new CRM platform implementation and third-party maintenance. In this…
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Innovation
How Low-Code Application Platforms bring value to your business?
In a recent study, Gartner estimates that 65% of all applications development will be low code by 2024. Why Low Code Application Platform (LCAP) is revolutionizing digital transformation for companies? We discuss with our experts how this solution enable companies to deliver quicker with simplicity & agility. Our Orange Business Expert Podcast strives to answer…
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Technological solutions
How to accelerate your decision-making process with Tableau
Do you have lots of standalone files used for reporting? Are you spending a huge effort in producing and sharing reports across your organization? How could you ease the reporting process for your decision-makers? How to optimize your reporting life cycle With Tableau, we could optimize your reporting life cycle and bring visual analytics to…
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Data technological fundamentals
How to build the next generation Data Lake
Does your Data Architecture support your current and future analytics needs? Are you going back and forth, wondering whether the best solution is a data warehouse or a data lake? What are the advantages and disadvantages of each option? Modern Cloud Data Platforms are making this choice easier, by bringing the best of both worlds.…
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Technologies
How to build the next generation Data Lake? Technical Session
You might have worked on the same Data Warehouse for some time which makes it now more complicated to fit with the new needs and challenges you might have with the new technologies. So, it is maybe time to consider a change for you with a new generation Data Lake? If you consider switching to…
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Technological solutions
Measuring to take action: reducing greenhouse gas emissions through effective reporting
Greenhouse gas (GHG) emission reduction objectives, based on scientific work, are now being formalized in international treaties and the “carbon budget” notion is starting to gain State-level traction. However, even though companies are now obligated to submit reports on their GHG emissions to authorities, these practices remain poorly resourced and investment in the reporting process…
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Data tutorials, tools and languages
How to use the Python integrator in PowerBI?
The Python integration in Power BI is a huge step forward from Microsoft. It opens a wide range of possibilities in terms of extracting and cleaning your data as well as creating nice-looking and full customized visuals. Let’s see how it works and how to set-up your Python environment in your Power BI Desktop. As…
