Data Blog by Lizeo
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[Ebook] Maximise the value of your data
Data is an integral part of your company: collected, stored but sometimes untapped or used without any real methodology, it can lose its tactical nature. La qualité de vos données peut également pâtir de ce manque de traitement, ce qui impacte directement les analyses et les décisions finales. C’est pourquoi la préparation des données doit devenir un thème majeur au sein de votre organisation. L’objectif est d’implémenter la Data Value Chain pour garantir l’excellence de ces informations. Lizeo explique d’ailleurs comment la Data Value Chain vous permettra de capitaliser sur vos actifs dans le livre blanc suivant.
The Data Value Chain: tool and methodology to value data
The Data Value Chain has several consecutive and automated steps that allow data to be refined so that it reaches its maximum value. This methodology is all the more necessary in a context where data is always more voluminous and heterogeneous.
The impact of your data value will not only be felt in your market understanding, your effectiveness and the efficiency of your business actions. It is impossible to overlook your data processing, even though it is used to fuel your BI tools and Data Science projects.
To read also: Data governance: a pillar to use your data
White paper contents
How can you collect data in the best way? What is the purpose of the cleansing phase? Discover also the definition of Smart Data and the role of Data Science. Lizeo provides answers to these key questionsHow can you collect data in the best way? What is the purpose of the cleansing phase? Discover also the definition of Smart Data and the role of Data Science. Lizeo provides answers to these key questions
Data is a tactical instrument for your organisation. But, it is still necessary to know how to apply a real process to make it fully usable. Following the different steps of the Data Value Chain will allow you to build a qualitative database from which you can activate business levers and improve your performances. Need assistance? Do you want to learn more?