1623993523
Big Data and Analytics - The Disruptors of Media and Entertainment
Netflix is able to predict and suggest what you should watch next. If you have searched for a bag online, be ready for a slew of bag-related ads on Facebook. Bought a ticket to the Maldives on Cleartrip? You can be sure to see information on this destination throughout your online experience for the next few days. These are just a handful of examples where data and analysis intersect media and entertainment. In every industry, big data applications are changing the present and the future.
In the last decade, the media and entertainment industry has made great progress on how content is created, marketed and distributed. Let’s deep dive into different trends, challenges and opportunities of using data and analysis in the industry.
Table of Contents
- Introduction
- Trends
- 1. Predicting what the customer wants
- 2. Scheduling and optimisation
- 3. Customer acquisition and churn
- 4. Ad targeting
- 5. Content monetisation
- Challenges
- 1. Change of mindset
- 2. Low penetration of high-speed Internet
- 3. Lack of consolidation
- 4. Urgency for result-oriented metrics
- 5. Data privacy concerns
- Opportunities
Introduction
The Internet-savvy consumers of today search and access content anywhere, anytime – on the desktop, phone, tablets and the TV. As a result, brands, publishers, broadcasters, news channels and even gaming companies are under extreme pressure to execute new digital production, multi-channel advertising and distribution strategies to reach the right customer at the right time.
They need to have a detailed understanding of consumers’ media consumption preferences and related behaviours to find a way to differentiate themselves from the clutter. There is also a change in the media landscape, with a massive shift towards digital content from analogue, offering opportunities to monetise content and identify new products and services. This is the best time for media and entertainment companies to leverage their big data assets for a more accurate and profitable customer engagement than ever before.
#big data #deep dive #big data and analytics #the disruptors of media and entertainment #big data and analytics - the disruptors of media and entertainment #big data analytics
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1623993523
Big Data and Analytics - The Disruptors of Media and Entertainment
Netflix is able to predict and suggest what you should watch next. If you have searched for a bag online, be ready for a slew of bag-related ads on Facebook. Bought a ticket to the Maldives on Cleartrip? You can be sure to see information on this destination throughout your online experience for the next few days. These are just a handful of examples where data and analysis intersect media and entertainment. In every industry, big data applications are changing the present and the future.
In the last decade, the media and entertainment industry has made great progress on how content is created, marketed and distributed. Let’s deep dive into different trends, challenges and opportunities of using data and analysis in the industry.
Table of Contents
- Introduction
- Trends
- 1. Predicting what the customer wants
- 2. Scheduling and optimisation
- 3. Customer acquisition and churn
- 4. Ad targeting
- 5. Content monetisation
- Challenges
- 1. Change of mindset
- 2. Low penetration of high-speed Internet
- 3. Lack of consolidation
- 4. Urgency for result-oriented metrics
- 5. Data privacy concerns
- Opportunities
Introduction
The Internet-savvy consumers of today search and access content anywhere, anytime – on the desktop, phone, tablets and the TV. As a result, brands, publishers, broadcasters, news channels and even gaming companies are under extreme pressure to execute new digital production, multi-channel advertising and distribution strategies to reach the right customer at the right time.
They need to have a detailed understanding of consumers’ media consumption preferences and related behaviours to find a way to differentiate themselves from the clutter. There is also a change in the media landscape, with a massive shift towards digital content from analogue, offering opportunities to monetise content and identify new products and services. This is the best time for media and entertainment companies to leverage their big data assets for a more accurate and profitable customer engagement than ever before.
#big data #deep dive #big data and analytics #the disruptors of media and entertainment #big data and analytics - the disruptors of media and entertainment #big data analytics
1624399200
Top 10 Big Data Tools for Data Management and Analytics
Introduction to Big Data
What exactly is Big Data? Big Data is nothing but large and complex data sets, which can be both structured and unstructured. Its concept encompasses the infrastructures, technologies, and Big Data Tools created to manage this large amount of information.
To fulfill the need to achieve high-performance, Big Data Analytics tools play a vital role. Further, various Big Data tools and frameworks are responsible for retrieving meaningful information from a huge set of data.
List of Big Data Tools & Frameworks
The most important as well as popular Big Data Analytics Open Source Tools which are used in 2020 are as follows:
- Big Data Framework
- Data Storage Tools
- Data Visualization Tools
- Big Data Processing Tools
- Data Preprocessing Tools
- Data Wrangling Tools
- Big Data Testing Tools
- Data Governance Tools
- Security Management Tools
- Real-Time Data Streaming Tools
#big data engineering #top 10 big data tools for data management and analytics #big data tools for data management and analytics #tools for data management #analytics #top big data tools for data management and analytics
1620474000
Cloud Analytics Migration: Go With The Need
The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings.
The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings. However, despite compelling imperatives, businesses are concerned as they move their analytics to the Cloud. Organizations are looking at service providers who can help them allocate resources and integrate business processes to boost performance, contain cost, and implement compliance across on-premise private and public cloud environments.
The most cited benefit of running analytics in the Cloud is increased agility. With computing resources and new tools available on-demand, analytics applications and infrastructure can be developed, deployed, and scaled up — or down — much more rapidly than can typically be done on-premises.
Unsurprisingly, cost reduction is seen as a significant benefit of cloud-based analytics. A complex algorithm processing large volumes of data may require thousands of CPUs and days of computing time, which can be prohibitive for companies without existing in-house compute and storage resources.
With the Cloud, organizations can rapidly access the required compute and storage power on demand and only pay for what they use. Research shows that migrating analytics to the Cloud can double an organization’s return on investment (ROI).
Standardization, cited as the third most crucial driver of migrating analytics to the Cloud, is strongly linked to the first two benefits of increased agility and reduced IT costs. Also, standardization helps organizations with simplified, streamlined IT management and shortened development cycles.
The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings. For instance, organizations can take advantage of cloud-based data integration and preparation platforms with pre-built industry models. Leverage cloud services that offer powerful graphics processing unit (GPU)-based compute resources for complex analytics and tap into a collaborative ecosystem of data analysts within a federated data environment.
#big data #big data analytics #cloud migration #big data analytics platform #big data services #cloud analytics #big data solutions #big data analytics companies
1601012358
Silly mistakes that can cost ‘Big’ in Big Data Analytics
Big Data has played a major role in defining the expansion of businesses of all kinds as it helps the companies to understand their audience and devise their business techniques in accordance with the requirement.
The importance of ‘Data’ has been spoken very highly in the modern-day business. Thus, while using big data analysis, the companies must keep away from these minor mistakes otherwise it could have a major impact on their performances. Big Data analysis can be the silver bullet that can answer your questions and help your business to scale newer heights.
Read More: Silly mistakes that can cost ‘Big’ in Big Data Analytics
#top big data analytics companies #best big data service providers #big data for business #big data technology #big data mistakes #big data analytics
1608101527
Big Data Analytics: Unrefined Data to Smarter Business Insights - TopDevelopers.co
For Big Data Analytics, the challenges faced by businesses are unique and so will be the solution required to help access the full potential of Big Data.
Let’s take a look at the Top Big Data Analytics Challenges faced by Businesses and their Solutions.
#big data analytics challenges #big data analytics #data management #data analytics strategy #business solutions by big data #top big data analytics companies