Smartphones and digital media are becoming an increasingly large source of our entertainment nowadays. This trend includes how we watch our movies too.

Big data specialists believe that film producers should utilize the benefits of using data analytics to enhance their films and to reach their audience. However, some people think that using this hi-end technology will have a negative effect on the industry.

Let’s take a look at both sides of the argument, starting with the advantages of using big data in film making.

Advantages of Using Big Data Analytics in Film Making

What are the possible benefits of Big Data?

1. Decision-Making

Better decision-making is the number one goal of using big data analytics. Big data analytics give entertainment business decision-makers the data-driven insights they need in order to help their film companies compete in a highly competitive market.

This data allows them to identify realistic goals and shows them how to meet them. They can tailor their films to specific markets and target those markets via direct advertising.

2. Increased Productivity

In move making, filmmakers can gain data from a vast number of sources and use big data tools to interpret this data.  With these tools, they can increase their productivity by analyzing quickly analyzing data so they can act on it faster.

This means filmmakers can react quickly to market need. An obvious example is creating horror films for release on Halloween. Big data will one day be able to help refine this process down to a daily thing. This way filmmakers will even know the best day of the year to release their movies.

3. Reduce Production Costs

Data analytics will help the movie industry to decrease expenses. Through data analytics, the movie industry can increase operational efficiency and reduce the cost of production as well as its marketing costs etc.

Since data analytics can help them accurately establish their markets, they can avoid losses that would normally come from broad horizontal marketing etc.

4. Improved Customer Services

Improving the service for viewers is one of the most common goals of using big data analytics.

This refers not only to the suitability of the movies that viewers get to watch but everything from the film’s content to the film’s cast etc. Since, in the future, most people will get their entertainment through smart devices, sites and applications will be able to monitor user behavior.

This user data will help a lot to improve the services rendered to them.  Social media is able to get real-time information regarding viewer tastes. All of this data, when interpreted, will help the movie industry refine its processes to target individual tastes.

5. Increased revenue

Once the film industry uses big data to improve their decision-making and their customer services, it will inevitably increase revenue.  Couple this with a decrease in cost productions, and it will mean even more returns for the film companies.

Inversely, this will mean that studios will have more money on hand to finance even more films.

6. Increased agility for Greater Innovation

Data analytics can help film companies get ahead of their competitors.  By using analytics, companies can frequently change their tactics and strategies in order to stay ahead of their rivals.  Changing their business strategies will help them achieve greater innovations.

Through data analytics, they can introduce new products and services into the market place quicker than their competitors.  Big data may even indicate that there is a huge potential for merchandising etc., this will help a film company gain new sources of revenue.

Films such as Toy Story actually made more from merchandising than they did at the box office.

7. Personalization

For viewers, it is an advantage if services and products they access are tailored according to their individual preferences.  The most obvious example is Netflix and Sofy.tv.

With these companies, the data collected about users’ activities and preferences are automatically analyzed to provide a more personalized service. Providing suggestions about which films and television show viewers might enjoy watching, based on the previous viewing history, has proven a hit with all concerned.

These are the main advantages of using big data analytics.

We will now tackle the disadvantages of using big data analytics in film making.

Disadvantages of Using Big Data Analytics in Film Making

What are the challenges that the film industry will face arising from it using big data analytics?

1. Need for Talent/Staff

When a film company wants to use big data analytics, it needs to hire experts.  Nowadays, data analytics experts are one of the most highly paid professionals in the software world.

Hiring an expert costs a lot. This is why moviemakers will likely turn to big data analytic movie companies like Largo Films to save money.

2. Data Quality Issue

The data quality issue is a huge potential disadvantage of big data analytics.  Companies need to make sure that the data they are using is reliable and in the correct format for data analysis and interpretation.

Bad data should be considered worthless and could be very costly businesses.

3. Individual Privacy

Privacy is one of the biggest concerns of companies in relation to big data analytics.  Companies are required to make sure that they comply with government regulations regarding data and information gathering.

If they are storing personal and sensitive information of the users, movie companies should ensure that the storage and handling of this information adhere to all the necessary laws and regulations imposed by the government to protect the right of privacy of its people.

Conclusion

Big data analytics has both advantages and disadvantages. The film industry must weigh it accurately before it implements this new technology.

For the most part, big data will be a huge benefit to the movie industry.

As big data helps increase revenue, it will increase viewer access to the kind of films that they like. By understanding market size, movie companies will be able to better cater to all segments in the marketplace.

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