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...
REPLAY | 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...
WHITEPAPER | 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...
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...
Featured content
#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...
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...
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...
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...
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...
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...
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...
TUTORIEL | 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...
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...
TUTORIEL | 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...
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...
TUTORIEL | 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...
PODCAST | 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...
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...
REPLAY | 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...
Discover the best selection of B&D posts
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…
REPLAY | 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…
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…
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,…
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…
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…
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…
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,…
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 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…
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.
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…
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…
Data 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.
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…
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…
WHITEPAPER | 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…
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…
#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…
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…
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…
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…
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…
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…
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…
PODCAST | 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…
REPLAY | 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…
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…
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Data & AI culture
Data 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).
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…
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…
REPLAY | #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, Business & Decision is presenting the key trends in Data and…
PODCAST | 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…
PODCAST | 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…
WHITEPAPER | 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…
WHITEPAPER | 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?…
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…
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…
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…
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…
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…
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…
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 Business & Decision in various sectors, such as the oil industry, telephony, retail and…
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Data Science / AI
Data 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 Business & Decision’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).
PODCAST | 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…
PODCAST | 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…
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…
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…
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…
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:…
REPLAY | 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…
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…
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…
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….
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…
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…
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…
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,…
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Data Marketing
Digitalization 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.
REPLAY | 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…
PODCAST | 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…
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…
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…
PODCAST | 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?…
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…
REPLAY | 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…
PODCAST | 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…
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…
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…
PODCAST | 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…
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…
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,…
PODCAST | 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…
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Digitalization
Data 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.
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…
PODCAST | 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…
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…
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…
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…
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…
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…
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.
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!
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Data protection
There 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.
TUTORIEL | 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…
TUTORIEL | 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…
TUTORIEL | 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…
PODCAST | 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…
REPLAY | 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…
REPLAY | 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…
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…
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…
PODCAST | 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?…
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…
REPLAY | 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?…
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…
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…
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…
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Technologies