Don’t drown in a sea of ​​data per il business con i dati

In the established era of self-service analytics, on the one hand IT departments are not able to provide all the data they need to their internal users, on the other hand we see that many data analysts do not have sufficient visibility on existing datasets, on their real content and reliability levels. As a result, you spend a lot of energy finding and interpreting data, sometimes recreating existing data sets. Without a catalog, you have to rely on poor documentation, interactions with colleagues or just working with familiar datasets.

Make the most of data through innovation

The Data Catalog theme is now considered by all one of the founding elements in the implementation of a solid Data Management strategy, especially in those organizations where you really favor the Self Service BI. In the design of the data catalogue, we must concentrate first of all on the inventory of what is already available, linking these data sets to useful details in the operation of users working with data. Metadata processing describes the transformations and derivations applied as data are processed during their life cycle. But the metadata we need today are more extensive than what we tended to use just a few years ago. The use of artificial intelligence and machine learning for metadata collection, semantic inference, and tagging are important for maximizing value from automation, reducing manual effort where possible.

Implement a successful PIM, avoiding the most common mistakes

Implementing a successful PIM, avoiding the most common mistakes —Who wants to manage the numerous information about products distributed throughout the company, modified and used by multiple functions, can not avoid looking at a PIM project. The first step is to accurately define the business goals and content of each release through interviews, both to the functions that participate in data management, and to those that know how data moves within business systems.

It is quite common that different sales channels and functions, require different transport methods and data formats. For an investment that really gives a competitive advantage it is advisable to consider, in addition to the technological requirements, also some aspects of detail such as the Syndication.

To make a successful PIM project it is not enough to make a good plan. It is necessary to involve the various functions that often have different and sometimes even opposed visions and needs. The key is to demonstrate the significant benefits that each function will have with a successful PIM and thus ensure full and active collaboration at all stages of the project.

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