Éliminer les silos de données
Are your employees hoarding data (and do they even realize it)? If your answer is “no,” then you might want to look again. Data silos are one of the biggest issues preventing operational processes from achieving peak productivity and business leaders from making informed decisions. Almost every company faces this issue, and those that address it effectively are the companies that are most likely to succeed in developing sustainable competitive advantage.
Que sont les silos de données ?
A data silo is a term that refers to independent pockets of data within an organization. Often aligned to either business functions or IT systems, data silos are where only a limited group of people have access to or knowledge of the data resources available. For example, a company may have a set of sales-related data that is separate from customer-service data or marketing data that is separate from manufacturing data. Because data is separated and fragmented, decision-makers (at all levels of the organization) are prevented from seeing the holistic big picture of how their actions and decisions impact the company. Even companies that have invested in data warehouses often report data silo issues, which are caused when multiple warehouses contain duplicative data.
Les silos de données et la culture d'entreprise
Data silos are a big problem for companies that are seeking high levels of productivity, efficiency, and business agility. Breaking down your data silos starts with understanding how they were initially created. Most data-silo problems can be traced back to one of two causes related to your company culture:
Budgétisation informatique
Les budgets technologiques sont souvent attribués à des départements ou à des fonctions individuels afin de support initiatives commerciales. Les responsables du budget informatique ont pour mission de créer autant de valeur commerciale que possible pour les fonctions qu'ils support, ce qui les encourage à fournir des solutions pour cette fonction indépendante plutôt que des solutions qui maximisent la valeur pour l'entreprise dans son ensemble.
Accumulation de données par les employés
La plupart des employés considèrent les données et les connaissances comme des ressources qui garantissent la sécurité de leur emploi. En accumulant des données et en ne les partageant pas ouvertement, ils ont le sentiment que leur emploi est plus sûr, car ils constituent une « ressource essentielle » pour l'entreprise. La volatilité de la main-d'œuvre au cours de la dernière décennie a exacerbé ce problème, entraînant une augmentation des cas d'accumulation de données par les employés.
Comment briser les silos de données
Pour éliminer les silos de données, il faut commencer par s'attaquer aux problèmes sous-jacents liés à la culture de votre entreprise. Votre entreprise valorise-t-elle et encourage-t-elle la collaboration, ou vos processus, politiques et pratiques encouragent-ils la concurrence entre les services (pour les budgets) et les employés (pour les primes et la sécurité de l'emploi) ? Les cultures d'entreprise collaboratives, dans lesquelles chaque employé se concentre sur la mission de l'entreprise plutôt que sur ses objectifs personnels et ceux de son service, sont moins susceptibles de créer de nouveaux silos de données et plus susceptibles d'éliminer ceux qui existent déjà.
The next step to break down data silos is to establish a unified company-wide data model. Most business functions must leverage data from other parts of the company and, in the absence of an enterprise-wide data structure, they will aggregate data as best they are able based on their individual functions’ needs and perspective. A unified data model can help you reduce the instances of duplication that often exist in data siloes.
You will also need a clear set of data-usage policies, processes, and controls. There is some data within your company that (although it is a part of your enterprise data set) only a limited number of employees should view and use. This could include, for example, trade secrets, financial forecasts and HR data. Establishing a clear set of policies and controls for data access means sensitive data can still be a part of your enterprise data and be secure.
The most important tip to break down data silos is to ensure you have a data-warehouse solution that has the scale and performance to support your company’s holistic data needs. If you plan to bust the silos and gather their contents, your data consumers will expect equal, if not better, performance from what they have in their silo solutions today. This is where Actian can help – with enterprise-grade data-warehouse solutions that are massively scalable to support your company’s needs today and grow with you into the future. Visit Actian Analytics AI Platform to learn more.
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