Media and Entertainment
Data analytics brings essential transformation to modern media and entertainment
The term Big Data continues to be the buzzword in business and media environments. Many still distrust and believe that it is all smoke and there is little concrete.
The media and entertainment industry has always experienced periods of rapid change, but the current situation is unprecedented. For children growing up today, there is no such thing as “on-demand television” because for them it is simply “television”. Whether it’s movies, TV, music or gaming, we expect it to be on demand, across our favorite channels and devices. It’s a new world where there are many opportunities for companies that will adapt quickly.
Data is at the heart of this new era. Going forward, if today’s media and entertainment leaders want to stay ahead of new competitors, they will need to put data at the heart of their strategy. A good data management infrastructure, integrating security from the start, will allow these companies to optimize the creation and distribution of their content, while measuring its success more effectively. These technologies are very beneficial and companies that invest now will become the market leaders of tomorrow.
Nowadays people are connected to a large number of digital devices, since when you register on a social network or on numerous websites, you do so with your data. This leads to the generation of a large amount of data that the media and entertainment companies use for their own benefit. For example: know the interests and tastes of the audience and show you ads that are more effective, among others. In this way, brands can offer you individualized recommendations and suggestions based on your tastes.
Why businesses should consider integrating data into their processes
The business world is constantly evolving due to changes in new ways of entering the market, making it essential for entrepreneurs to adopt innovative strategies that give them competitive advantages. For this, recognizing the value of data, carrying out data analytics, acquiring digital skills and using emerging technologies, allows to enhance the opportunities of success for companies.
In any sector of the industry, businesses try to generate better provisions for their environment, achieving an increase in efficiency, optimizing production times and making improvements in all operations. The analytical data therefore aim to support and promote the growth strategies of each company, performing processing and categorizing the information they have of business processes in order to achieve a better decision process.
Data science in other sectors
• Education: data can be extracted from students, teachers and results, and when used in the correct way can help improve the effectiveness and operation of educational centers. For example: creating personalized learning programs focused on benefiting individual students, rethinking the content of the academic course, offering online learning solutions and even assisting in the choice of the students’ professional career based on their background, since it allows better understand their interests and weaknesses.
• Health: it is another sector where a lot of data is generated on a daily basis and its proper use can contribute to improving medical care and making more effective diagnoses.
• Banking: the amount of data that is generated every minute within this sector is really abundant. That is why, if they are studied and used in the right way, they can greatly help to detect all the illegal activities that can be carried out. The improper use of credit or debit cards, credit risks and suspicious transactions, among many others data can really transform this sector.
Some of our top data science tools at Alibaba Software Solutions
- Minitab
- R
- Apache Kafka
- MongoDB
- Python
- PowerBI
- DataRobot
- Sap Hana
- Trifacta
- Apache Flink
- Apache Spark
- Tensor Flow
- Big ML
- RapidMiner
- Excel
- Knime
- SAS
- Tableau
- Apache Hadoop
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