Nearly 6.3 billion people worldwide use smartphones today. That amounts to nearly 80% of the world’s population, to put things in perspective. The media and entertainment industry must embrace big data analytics to ensure that their customers continue to return for more, given that smartphones and social media have become one of the primary sources of entertainment for such a large population. Businesses now have unprecedented access to customer data thanks to media and entertainment industry digitization. Entertainment companies have learned a lot about their customers and systems and processes by using big data analytics and Looker services.
Why Choose Looker?
Looker is a web-based platform for data visualization and business intelligence that various organizations use to create real-time dashboards and business reports. It can convert user input based on a Graphical User Interface (GUI) into SQL queries and then send it directly to the database in live mode.
The platform is the best choice for mission-critical requirements because it supports multiple data sources and deployment methods so that you can use them for all your analytical needs without compromising data transparency, reliability, security, or privacy. A Data Modeling layer within Looker Data analytics is distinct from the components that aid data visualization.
The capabilities of this layer are available to Looker Development Company for data transformation, numerous join operations across tables, and other tasks. Utilizing GitHub Sync lets multiple developers work on a single model simultaneously. It is believed that this feature is very important. Let’s first take a look at the main characteristics of a looker before discussing the impact of data analytics on Looker services.
Key Features Of A Looker:
1. Advanced Integration Support
With various Connectors and Integrations, platforms like Google BigQuery, Snowflake, and AWS Redshift, as well as more than 50 SQL dialects, are supported.
2. Develop Bespoke Applications
Users can create bespoke applications to meet the needs of various organizations and provide individualized visualization experiences.
3. Latest BI Software
Real-Time Dashboard creation is well-supported, and the most recent Business Intelligence tools are supported to enhance reporting.
4. The Functionality Of Looker ML
All of the projects stored and being analyzed on Looker are described by this feature, which is also referred to as LookML.
5. Advanced Hosting Support
Multiple Cloud-based platforms, including Google Cloud Platform (GCP) and Amazon Web Services (AWS), are supported to guarantee the safety and reliability of data.
Also Read: The Top Data Visualization Tools To Make Your Life Easier
What Is The Impact of Data Analytics With Looker?
Storage and management of data is now a common but crucial business practice. The data being collected and stored is constantly changing, becoming more diverse and larger at a faster rate. Using this data in business organizations’ decision-making processes is becoming increasingly crucial. Let us now learn about the advantages of data science and analytics, the Looker’s capabilities when you use Looker Consulting services.
1. Prediction Of Audience Interests
A company’s profitability is greatly impacted by decisions about investments, material procurement, and contracts based on the future. Using Looker for big data analytics, you can learn about the content, shows, music, and movies that different segments of your audience enjoy. This is calculated with the Looker’s well-organized viewing history, location, clickstreams, searches, and reviews. You get comprehensive insights into your audience’s behaviour, which you can use to syndicate content that meets your viewers’ preferences.
2. Monetization Of Content And Creation Of New Products
Media and entertainment companies can also find new ways to make money using Looker for big data analytics. This is because it provides advice on motivating the audience’s behaviour, reveals the value of the content you intend to share, and assists you in locating new product opportunities. You can reach a significant portion of the digitally connected population due to the prevalence of smartphones and easy internet access.
Understanding customer behaviour with the help of big data insights can also assist you in determining the value of your content. This way, you would know the kind of content that will appeal to your audience in the future. You will have a better chance of making money from developing new products. In this case, you’ll have more options for monetizing your content in this way with Looker’s big data analytics.
3. Cogent Ad Targeting
Programmatic advertising’s importance to the media and entertainment industries is well-known. Sadly, the majority of businesses do this haphazardly without structuring their advertisements. With the help of Looker and Persistent, you can conduct big data analysis and create advertisements for a particular audience. You can see your customers’ exact requirements and preferences through data insights.
You will also be able to see what kinds of content are being watched the most frequently and for how long. In addition, you will be able to see the device the audience uses to watch the content. By optimizing your content and combining this data, you can run more successful ad targeting campaigns and achieve higher conversion rates, or TRP. Designing data-driven customer experiences will be a cakewalk with Looker and Persistent.
Also Read: The Pros And Cons Of Microsoft Power BI – An Analyst’s Perspective
4. Detailed Performance Evaluation
Improved strategic decisions are made due to businesses receiving real-time insights into their shows’ performance compared to their rivals. Media and entertainment companies can generate reports based on the demographics of their audience with the assistance of big data analytics.
You’ll be able to see which channels are working best for which demographics this way. Looker Development Company will provide data on why your customers subscribe to your channel or unsubscribe. You can then pursue key choices by dissecting the ongoing presentation of your substance.
Conclusion: Looker Can Also Improve Productivity
The scalability of database querying has been a challenge for many businesses. Looker is more accessible to the company’s general workforce, particularly those struggling with technology and its improved availability across various devices. Large companies with multiple offices around the world need access to informative data to enable them to make the right business decisions.
For business analysts to interact with the database and carry out any kind of big data analytics, they need to be familiar with Structured Query Language. LookML, an abstraction layer used by Looker, produces reusable business metrics that are simple to comprehend and adaptable to database modifications. One of Looker’s most important advantages is its reusability of LookML because business intelligence analysts would have to modify their SQL code for each query, which would be inefficient for extracting data.
