Are you writing a novel, screenplay, article, or your final university thesis?

If so, you might be surprised to find out that big data analytics can help you improve your work so that it is more appealing to your target audience.

To the question, “can data-driven moviemaking help you write a better novel?” the answer has to be a resounding, yes!

In this article, we will examine exactly how data analytics can be used to help you to write better.

What is big data analytics?

Ever since the advent of writing, humans have been creating and storing data. Everything from history to the amount of money owed by a particular individual has been stored in some way, shape, or form.

The invention of the computer was to revolutionize data. As computers grew ever more sophisticated and more and more people began to use them, the amount of data and the way companies and individuals used it began to change.

Most recently, the internet boom and ever-increasing adoption of smart devices meant that we are all now giving vast amounts of data about our lives and behavior patterns.

Software companies were quick to understand the power of this data. They quickly began to develop algorithms to interpret and identify patterns in all this data.

Thus, big data analytics was born.

Big data analytics is simply the process of using algorithms to identify trends in pools of data. These trends can be anything from the time that people spend on a particular site to their movie preferences, for example.

Data-driven Moviemaking

You have no doubt heard about how Netflix uses its customer data to improve the service it offers them. Its TV/movie recommendation feature is one of the best in the world and is credited for being the main reason behind the company’s early success.

The recommendation feature actually gets better the more Netflix members use it.

This is because each time a member makes a selection this is recorded. Other data sets such as how many times that particular user watches that selection, how long for, at what time, and what genre, etc. are recorded.

By using data analytics, Netflix is able to make ever increasingly accurate predictions on what a particular user is likely to want to watch next.

Cutting edge startups like Largo Films were quick to realize the potential of this exciting new technology.

Not only did they build their own revolutionary AI-powered recommendation system for, but they recently released an updated version of the software that actually is able to breakdown a movie into small parts.

This allows to get a more accurate breakdown of exactly what a movie is all about. The platform is then able to rate the movie for the exact composition of such things like comedy, drama, action, etc.

As a member uses the platform more and more, it is able to analyze past movie preferences and select the most suitable film as recommendations.

The system has proved so successful with users that the team behind it decided to take the next step and offer a data-driven moviemaking service.

Largo Films And Data-driven Moviemaking

Largo films has quickly established itself as one of the most successful players in big data moviemaking.

The company recently reported that it had managed to accurately predict the gross of Italian film Domani e Un Altro Giorno, despite an unexpected slump in the Italian film industry.

Largo Films were even able to recommend changes to the film which, had they been enacted, would have helped the film gross even more.

The company has already proven its mettle in the data-driven moviemaking industry and looks to become a huge player that productions of all sizes will trust in the future.

Data-driven novels?

It is likely that, in the near future, Largo Films will begin to offer its services to writers. The name of the game will be ultimately the same.

The company’s sophisticated AI-driven software can easily be assigned to review novels of all genres. As with movie scripts, this software will have the power to identify strengths and weaknesses and flag them up to Largo Film engineers.

After the results have been extrapolated, engineers can go through what the results are and how they can help to improve the author’s novel to make it more suitable to its target audience.

Another area where Largo Film’s sophisticated algorithms will be able to help novelists is to help them or their publishers undertake more effective direct marketing campaigns.

Such campaigns are able to generate substantially better dollar returns per dollar invested.

This is possible because big data target marketing actually allows ad campaigns to be aimed at specific places that the target audience is likely to frequent.

One example is social media.

By targeting specific pages or groups on social media platforms such as Twitter, Youtube, and Reddit, ad campaigns will be far more effective than when they undertake more conventional, broader spreads.

Without big data analytics, accurate data patterns on the types of users, and alas, the novels they like to read, which visit these pages would not be available.

Big data is therefore already placed to become the determining factor of success in the future, not just for movies but for books as well.

Contact Largo Films for more information.