Why is Business Intelligence crucial?

Obtain Valuable Insights

• Example: Disney+ analyzes viewing data and finds that classic Disney movies are particularly popular among adults aged 25-35, possibly because of nostalgia. This insight can guide marketing campaigns or special promotions targeting this age group.

Access Sales Intelligence

• Example: Disney+ observes a spike in new subscriptions whenever a new episode of "The Mandalorian" is released. They can then strategize release patterns to optimize subscriber growth.

Visualize Important Information

• Example: Disney+ uses dashboards to show the global spread of their subscribers, highlighting areas where the service is particularly popular or regions where there's potential for growth.

Streamline and Trim Operations

• Example: By monitoring the streaming quality and buffering issues in real-time, Disney+ can identify and quickly address server problems or enhance the quality of service in high-demand regions.

Perform Data Mining

• Example: Using data mining, Disney+ discovers that families with young children often watch animated content in the late afternoon. This can influence when new children's content is released or promoted.

Eliminate Guesswork

• Example: Instead of guessing which genres might be popular, Disney+ can look at data showing that superhero series have high rewatch rates, indicating strong fan engagement and the potential for spin-offs or sequels.

Leverage Performance Management

• Example: Disney+ evaluates the performance of its customer support through metrics like response time and issue resolution rate, driving continual improvement in user support.

Gain a Competitive Edge

• Example: Disney+ identifies that exclusive behind-the-scenes content for its Marvel series garners a lot of viewer attention. By producing more of such content, they offer something unique compared to other streaming platforms.

Establish Benchmarking

• Example: Disney+ benchmarks its subscriber growth against the initial growth rates of its competitors like Netflix or Hulu. This helps them gauge market performance and set realistic targets.

Improve Inventory Management

• Example: Although in the context of streaming, 'inventory' relates to available content. Disney+ could analyze which content is under-watched or outdated and decide to rotate it out, making room for fresher content that may appeal more to their viewers.

Content Recommendation Algorithms

• Example: Using viewing history and preferences, Disney+ suggests new series or movies. For instance, if a user frequently watches Marvel movies, they might be recommended a new Marvel series or related documentaries.

User Retention Analysis

• Example: Disney+ identifies patterns leading to subscription cancellations. If users often cancel after watching a specific series, it might indicate they joined just for that content. Disney can strategize to produce more related content or offer promotions to retain these viewers.

A/B Testing for User Experience

• Example: Disney+ tests two different user interfaces among a subset of viewers to see which one results in more engagement or longer watch times. The more successful UI can then be rolled out to all users.

Social Media Sentiment Analysis

• Example: Disney+ analyzes discussions on platforms like Twitter or Reddit to gauge viewer reactions to new releases. Positive sentiment around a new series might prompt more aggressive marketing, while negative sentiment might trigger internal reviews.

Pricing Strategy Analysis

• Example: By analyzing subscriber growth in relation to pricing changes, Disney+ can adjust its subscription cost, offer special promotions, or create bundle deals (like combining Disney+, Hulu, and ESPN) to maximize revenue and user growth.

Geographical Content Preferences

• Example: Disney+ notes that Star Wars content is especially popular in certain countries. This insight can guide localized marketing campaigns or even influence the creation of region-specific content.

Device Usage Patterns

• Example: If Disney+ identifies that a significant portion of its users watch content on mobile devices during morning hours, they might optimize their app for mobile streaming or even release short content snippets ideal for on-the-go viewing.

Feedback Loop Implementation

• Example: Disney+ creates a feedback system where users can rate and review content. This direct user feedback is invaluable for content development and enhancement.