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.
Sovereign AI: The smart hybrid approach for speed & control
As Artificial Intelligence continues to transform industries, European organisations face a crucial question: how can they fully leverage AI’s potential while maintaining control over their data, infrastructure, and compliance? In this CIONET Tech Webinar, experts from Orange Business unpack what Sovereign AI means—and how it can act not as a constraint, but as a catalyst…
5 Critical Foundations for Implementing Generative AI at Scale
Thinking about Generative AI for your business? Before rushing in, make sure you’re not building on sand. In this article, we’ll show you how to lay the groundwork for success—by aligning AI with your strategic goals, unlocking the right data, establishing strong governance, and fostering a culture ready to collaborate with AI agents. You’ll also…
How to Simplify ESG Compliance with Automated ESG Reporting Software
As sustainability regulations continue to evolve, organizations face mounting pressure to comply with the European Sustainability Reporting Standards (ESRS) and other international frameworks. To address these complex requirements efficiently, many are adopting automated ESG reporting solutions to streamline disclosures, align sustainability initiatives with strategic objectives, and ensure regulatory compliance. In this article, you’ll learn how platforms such as Jedox enable effective ESG…
ESG & CSRD Compliance: How Companies Can Navigate New Corporate Transparency Standards
The European Sustainability Reporting Standards (ESRS) are setting new benchmarks for corporate transparency and ESG. Released by the European Financial Reporting Advisory Group (EFRAG) on June 9, 2023, ESRS Set 1 establishes sustainability reporting requirements under the Corporate Sustainability Reporting Directive (CSRD). These standards ensure that companies disclose environmental, social, and governance (ESG) data in a consistent and meaningful way, helping investors, policymakers, and stakeholders…
Generative AI: Not a Sprint but a Marathon – Guiding Principles for AI Success
Generative AI (Gen AI) has become a transformative force in business, with the potential to fundamentally reshape how we work. It offers tools to accelerate or automate tasks, improve delivery quality, and foster innovation and creativity. Unlike traditional AI techniques, Gen AI, powered by large foundational models, is a versatile technology capable of addressing a…
Business Intelligence, Business Analytics and Data Analytics: definitions and trends
Not long ago, I explained the differences between Business Intelligence and Data Intelligence, concluding that both disciplines are part of Data Analytics. But that left out Business Analytics. So grab a coffee, and let’s dive back in. What is Business Intelligence? In 1958, German IBM engineer Hans Peter Luhn coined the term Business Intelligence (BI),…
Exploring the Benefits of Data Catalogs for International Organizations
If you missed our recent webinar, “Exploring the Benefits of Data Catalogs for International Organizations” you’re in luck! The replay is now available, offering you a second chance to know how a data catalog can significantly improve how your organization manages and utilizes its data leading to better outcomes and more efficient operations. What you will…
Data-Driven Working: How to Get Data You Can Rely On
More organizations are embracing data-driven decision-making, leading to an abundance of collected data. However, the key to success lies in the quality of this data. High-quality data is essential for making accurate, reliable decisions. For example, insurers need complete claim data for accurate risk profiles, pension funds require precise return data for sound investments, and…
(Gen) AI – Garbage in, Garbage out: Why Data Governance is Crucial to Avoid Data Risks
How much is your organization really losing due to poor data quality? In today’s data-driven world, especially with generative AI like CoPilot and ChatGPT, any inaccuracies in data can lead to poor business decisions. Whether it’s wrongly rejected insurance claims or inefficient energy networks, the impact spans all sectors relying on precise data for efficiency…
Understanding the Difference Between Business Intelligence and Data Intelligence
Business Intelligence (BI) and Data Intelligence (DI) are closely related concepts, yet they serve distinct purposes and are complementary in nature. What Does “Intelligence” Mean? Before comparing Business Intelligence and Data Intelligence, it’s important to clarify what is meant by “intelligence.” We need to understand its English meaning, as in “Central Intelligence Agency (CIA)”—in other…
HR Data: 4 levers HR directors can use to boost business performance
In a previous article, we discussed how data science can help reduce employee turnover and, as a result, improve business performance. Several other levers are also available to HR directors, including recruitment and support during the first days after hiring (onboarding), but above all the alignment of resources and skills with the company’s medium- and…
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 Mesh: a guide for companies
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-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…
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?…
How to create impact & quick ROI with Data Governance?
Data Governance is a key enabler for companies to correctly exploit the data they have in terms of operational efficiency, meeting business strategic needs, business use cases and even more… So how to create an added-value from Data Governance? Our experts explain more with real-life examples in this on-demand webinar. Data Governance as a value…