The integration of Big Data in companies brings new tools to the decision-making process, providing valuable information. When integrating huge data sets, the process can become particularly complex and present different challenges.
Here, at Jump Data-Driven Video, a business data management platform designed specifically for video service players, we will delve into the characteristics of this integration process and its impact for video player services companies.
What is it and why is it important?
Big Data integration is a vital step in carrying out all kinds of Big Data projects, consisting in analysing large data sets that make it possible to make smarter business decisions. In this framework, big data integration brings together data that is collected from multiple sources and software tools.
This makes it possible to have a unified view of the data that has been accumulated, for example to compare the results of an audiovisual production on different video services.
Big Data Integration Challenges
Some of the main challenges related to Big Data integration are:
Lack of staff
Big Data is a growing area, but there are still many vacancies and jobs that cannot be filled. At the same time, the wide diversity of areas in which it is applied is also a drawback, as data scientists and professionals need to adapt and specialise in each sector, such as video services.
Embedding the data
Because the sources are so varied, data incorporation requires very complex techniques and tools, which are not always readily available.
Coming from a wide variety of sources, the information present in Big Data integration needs to maintain time synchronisation, which guarantees the reliability and security of the data. If this synchronisation with the original systems is broken, the data can be lost and thus defeat the purpose of the process.
At Jump TV, we know that commercial data, and its effective use, is what currently makes the difference for success in the entertainment industry. However, companies oriented to video playback services should be aware that before starting a Big Data integration process, a big data integration strategy must be devised.
What needs to be taken into account when designing such a strategy? Basically, the following points:
Variety of technologies
There is a wide variety of data integration technologies available, so it is essential to take appropriate advice to choose the best option.
The volume of data and its characteristics will determine the performance of the technologies. This should be taken into account in strategies.
Administration and management
How will data integration services be managed and who will be in charge? All these questions should be answered in the pre-strategy.
Finally, it is crucial to have a security strategy, which ensures the integrity of the data to be combined and analyzed.
At JUMP Data-Driven Video we have User DNA that provides each client with valuable information on each of their users, so that they can carry out a personalized marketing strategy, data-driven strategies for engagement and retention, and hyper-segmentation to take advantage of advertising revenue.