Christophe M.

Depuis plusieurs années, on observe que la donnée produits - qui est une vue intrinsèque des propriétés des produits - ne se concentre pas du tout sur la mise en vente ou l’exposition. Il subsistait le problème de la gestion d’une information de type « merchandising », c’est-à-dire de la manière dont l'on met en valeur les produits afin de mieux les vendre. Par conséquent, il devenait essentiel de savoir où cette information pouvait être capturée et gérée.

Master data management (MDM) is changing rapidly. Enterprises today work with multidomain MDM. Where's MDM headed in today's big data environment, and how can your organization leverage data to meet your business goals?
What's driving master data management (MDM) into the multidomain realm, and what challenges does this present? Where is MDM headed, and how does the cloud impact this direction? For answers, we spoke to Christophe Marcant, senior VP of strategy and communications for Stibo… Show more

Master data management (MDM) is changing rapidly. Enterprises today work with multidomain MDM. Where's MDM headed in today's big data environment, and how can your organization leverage data to meet your business goals?
What's driving master data management (MDM) into the multidomain realm, and what challenges does this present? Where is MDM headed, and how does the cloud impact this direction? For answers, we spoke to Christophe Marcant, senior VP of strategy and communications for Stibo Systems. Marcant explains how master data management is evolving and ways organizations can use the technology to meet business goals. Show less

Retailers are under massive pressure from global competition and the rise in both the quantity of e-commerce options and the customer loyalty attained by huge players such as Amazon and Apple. The post-sales support provided by Amazon and polished customer experience offered by Apple are not only synonymous with their brands but, in fact, are a large part of the brand itself.

Manufacturers are constantly looking to create trusted master data, a key element of true business optimization. Organizational data, such as product, asset, location, supplier, and customer information, are only valuable when they are accurate, complete, consistent, and shared across an organization.

With increasing demands to reduce time-to-market, while at the same time keeping up with suppliers, distributors and end users, manufacturers often find that their growing amount of business data is working against them rather than for them. The challenge to manage critical organizational data is growing fast, and manufacturers are embracing data governance (DG) strategies to protect the integrity of their valuable enterprise assets and optimize their master data management (MDM) and product… Show more

With increasing demands to reduce time-to-market, while at the same time keeping up with suppliers, distributors and end users, manufacturers often find that their growing amount of business data is working against them rather than for them. The challenge to manage critical organizational data is growing fast, and manufacturers are embracing data governance (DG) strategies to protect the integrity of their valuable enterprise assets and optimize their master data management (MDM) and product information management (PIM) initiatives. Show less

Achieving a consistent shopping experience, whether in the store, on the web, or via a mobile device, is extremely complex. Information about customers is coming from a variety of sources, and today there is more value in connecting the data to derive beneficial information than there is in the original data itself. Organizational insights begin with knowing your customer, but this is becoming increasingly difficult for many in today’s virtual, technologically advanced world.

We’ve all heard the saying that the most important thing in real estate is location, location, location. However, when it comes to improving the bottom line for manufacturers, the same sentiment can also be applied to enterprise master data. And, like enhancing curb appeal of the house, organizations can increase the power of their data by examining areas where it overlaps with other types of information.

Digital tools are disrupting today’s business environment and require significant changes in operations, communications and selling. The growing number of sales channels, the abundance of product options and the emergence of mass personalization have increased consumers’ expectations and price sensitivity, leading to less brand loyalty than in the past — and it’s about to get much worse.

Modern data approaches need a solid MDM strategy as the technology serves as the backbone of machine learning and Big Data applications

By enabling a comprehensive view of customers, MDM solutions can help create a satisfying experience across marketing, sales, customer service, e-commerce, and all other customer-facing channels.

I explain how there is great opportunity to leverage machine learning (ML) to adapt data from a source to a consumer faster. So, rather than focusing on enforcing format and meaning to facilitate exchanges, ML will enable organizations to discover patterns in data, propose associations, correlations, and adaptation.

The diversity of data besieging organizations with the eruption of big data is manifest most acutely in a gamut of data sources which far outstrips those of yesterday. Harnessing both internal, proprietary sources in tandem with external sources via cloud, social, and machine-generated streaming technologies presents a number of challenges to the enterprise.

In a November 2016 SandHill article about Master Data Management (MDM) technology, Stibo Systems predicted enterprise, multi-tenant MDM solutions in the cloud will improve in 2017. In this article, we follow up with an interview of Christophe Marcant, Stibo Systems’ senior vice president of strategy & communication, for deeper insights into what we can expect as this technology evolves.

The impact of the digital economy has created challenges for all CEOs, particularly for those in the retail sector. What began as a quest to create the perfect customer experience has made retailers turn their attention to building a superior omnichannel environment, to keep up with the proliferation of touch points and to meet the ever-changing shopping habits of consumers.

There has been a lot of hype, confusion and opportunity when it comes to big data. With investments in big data technologies on the rise and predictions stating that big data will grow at a CAGR of 14 percent over the next five years and eventually account for nearly $80 billion by the end of 2020, organizations are constantly searching for ways to maximize their investments.

La qualité des données produit et client est devenue le moteur de toute activité. Les systèmes d’entreprise - ERP, gestion de la chaîne logistique, CRM et e-commerce - reposent tous sur des données complètes, exactes et cohérentes pour booster la performance opérationnelle, l’efficacité commerciale et le service client. Toutefois, dans la plupart des entreprises, la qualité des données demeure un défi majeur à relever.

Les systèmes d’entreprise reposent tous sur des données complètes, exactes et cohérentes pour booster la performance opérationnelle, l’efficacité commerciale et le service client. Toutefois, dans la plupart des entreprises, la qualité des données demeure un défi majeur à relever.

L’information utile est très différente entre les e-commerçants et les magasins. Il est difficile pour les entreprises de garder de la consistance de l’un à l’autre. Or, pour innover et proposer des services qui font sens, il faut aller jusqu’au point où tous les employés ont accès à la même information produits homogène

High-quality product and customer data are the lifeblood of any business. Enterprise systems, including ERP, supply chain management, CRM, and e-commerce all rely on complete, accurate, and consistent data to drive operational performance, sales conversion, and customer service. But in most organizations today, data quality remains a major challenge.

Master data is a key enabler of business optimization, and refers to organizational data such as product, asset, location, supplier and customer information. Solutions such as master data management (MDM) enable organizations to create a single point of reference for these data assets by combining processes, governance, policies, standards and tools. However, even with MDM technology in place, this data frequently changes and therefore requires ongoing data governance and maintenance.

Keeping a brand strong and maintaining product consistency is inherently complex for consumer packaged goods (CPG) companies in today’s digital landscape. You have to work through third parties to get your products to the end consumer; you’re also offering more categories of products through a wider variety of channels, and selling to a broader range of customers across a wider geography.

Now more than ever, the ability to react and execute quickly is absolutely critical to both profits and customer loyalty. That's why merchants that can pivot faster come out on top. Utilizing MDM technology effectively, retailers can use their operational information as a strategic asset and improve e-Commerce performance. Leveraging the valuable insights gained from product, supplier and customer data, retailers can move toward a unified, omnichannel retail experience that decreases shopping… Show more

Now more than ever, the ability to react and execute quickly is absolutely critical to both profits and customer loyalty. That's why merchants that can pivot faster come out on top. Utilizing MDM technology effectively, retailers can use their operational information as a strategic asset and improve e-Commerce performance. Leveraging the valuable insights gained from product, supplier and customer data, retailers can move toward a unified, omnichannel retail experience that decreases shopping cart abandonment and alleviates the impact of showrooming, while at the same time improving customer loyalty and profits throughout the year. Show less

Big data is the all the rage and getting tons of press as it has allowed manufacturers and supply chain executives to create new and compelling data-driven strategies that help them compete, innovate and capture wallet-share. Perhaps fueled in part by the likes of leading database vendors or system integrators (SIs) looking to cash in on high-dollar predictive analytic and scoring engagements, big data represents many things to many people, but one of the most pragmatic applications is… Show more

Big data is the all the rage and getting tons of press as it has allowed manufacturers and supply chain executives to create new and compelling data-driven strategies that help them compete, innovate and capture wallet-share. Perhaps fueled in part by the likes of leading database vendors or system integrators (SIs) looking to cash in on high-dollar predictive analytic and scoring engagements, big data represents many things to many people, but one of the most pragmatic applications is mastering all the data elements used in a business infrastructure. The term commonly used for this process is master data management, or MDM. Show less

Information and intelligence gathered from a retailer’s eCommerce site can provide valuable insights into emerging shopping trends and help improve future eCommerce performance.

However, many potential eCommerce purchases end up with abandoned shopping carts.
With so much at stake, understanding customer buying behavior is critical.
It is especially important for merchants to identify trends that can be applied to help boost profits and reduce online shopping cart abandonment… Show more

Information and intelligence gathered from a retailer’s eCommerce site can provide valuable insights into emerging shopping trends and help improve future eCommerce performance.

However, many potential eCommerce purchases end up with abandoned shopping carts.
With so much at stake, understanding customer buying behavior is critical.
It is especially important for merchants to identify trends that can be applied to help boost profits and reduce online shopping cart abandonment.
By having the ability to analyze data acquired online, retailers are able to pinpoint not only the areas that need improvement but also those that succeeded.
To gain a competitive edge, select a strong Product Information Management solution to create better customer experiences, more streamlined internal processes across the enterprise, increased efficiency and profit. Show less

A new whitepaper from leading eCommerce and multichannel retail consulting firm FitForCommerce found that retailers who are quickly moving toward an omnichannel approach are placing a significant amount of effort on ensuring that their product information is accurate and consist across all touch points and channels. The paper titled PIM for Retailers: The Importance of Product Information Management in Omnichannel Retail discusses how consumers have assumed control of the buying process… Show more

A new whitepaper from leading eCommerce and multichannel retail consulting firm FitForCommerce found that retailers who are quickly moving toward an omnichannel approach are placing a significant amount of effort on ensuring that their product information is accurate and consist across all touch points and channels. The paper titled PIM for Retailers: The Importance of Product Information Management in Omnichannel Retail discusses how consumers have assumed control of the buying process, resulting in extremely high expectations when it comes to the shopping experience. Show less

Retailers face an intensely competitive marketplace with unprecedented challenges and opportunities. With the emergence of a greater variety of retail channels, an abundance of product options and easy online price comparisons, consumers now demand greater service and lower prices. The ability to ensure that the right product is available at the right place and at the right time is absolutely critical, and merchants that can act more quickly tend to come out on top.

Today, consumers expect their digital experience to be 100% consistent with a merchant’s physical environment. In the coming year, retailers will not view this expectation as a demand on the part of the consumer but rather an acknowledgment that digital is now a part of real life; and the two should offer the same experience.

Master Data Management (MDM) offers many benefits – improving the customer experience, increasing customer loyalty and boosting marketing efficiency – which all lead to increased revenue. However when making the business case for MDM, it’s important to take a look at some cost factors that contribute to the bottom line.

Product Information Management (PIM) solutions create a single view of a product for an enterprise.
The single view of a product can be used for both operational and analytical purposes. PIM
solutions serve information on demand—independently of any other repository of product data - for any designated destination, be it Web site; a mobile application; a kiosk at a store; or a publication (paper, CD-ROM, or online).