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Kyiv, Ukraine
11-50 Employees
2015
We are everything you'd expect from a smaller app monetization platform: effective, flexible and personable. Today, AppGrow's network boasts the wider selection of apps and the most popular ad formats in each of the countries we operate. AppGrow was one of the first data monetization intermediaries in the app industry. We're fearless and innovative because that's what it takes with challenges this big. We were founded with a simple idea inside - make the life of app developers easier and generate revenue for them while creating powerful monetization solutions and sound marketing campaigns. Since its incorporation in 2015, AppGrow helped to earn more than $200 000 for its clients. All you have to do is a few quick-to-implement changes at the preparation stage.
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Featured
Your data monetization partner
... Data Monetization For Mobile Apps | ...
Los Angeles, United States
11-50 Employees
2019
Seasoned business professionals and data experts with a shared passion for leveraging insights to drive revenue. Advising and implementing advanced statistical techniques and technologies to draw powerful insights from existing data. Advancing business strategy through KPI development, forecasting, and visualizing key metrics to enable employees via self-service dashboards. Creating a competitive advantage by leveraging the latest in predictive modeling, machine learning, and deep learning algorithms to drive revenue.
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Featured
Data Monetization
... Data Monetization ...
New Delhi, India
501-1000 Employees
2002
TLC is an innovative, marketing-oriented, design-led organization, uniquely providing a complete suite of solutions across digital, tech and services. We use the best tech platforms to make our products robust, future ready and shockproof. Our tech products are developed on world class platforms which include CRM on Salesforce and Heroku with all integrations managed through MuleSoft. Our digital delivery is on the Adobe stacks including Adobe Experience Manager, Adobe Analytics, Adobe Campaign and Adobe Target with mobile apps on the Ionic hybrid platform.
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Featured
Data Monetization throughCustomer Relation
... Data Monetization throughDigital ...
Milan, Italy
1-10 Employees
2017
We are building an ecosystem where businesses can exchange, sell and buy data and information of clients, suppliers, and other players. We believe that ideas and thinking from different sources want to complete each other. For example, data such as in shop-floor production logs, maintenance registers, real-time equipment-performance data, and even vendor performance-guarantee sheets can have a very high value for external partners. With data becoming a key competitive asset, we believe leaders and organizations should systematically catalog data to which they could potentially have access, including publicly available data, and data that can be purchased from other players in the value chain. We believe that companies should regularly inventory and pricing their data assets to check if they are capturing the full value.
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Smart Decision Network | Data Monetization
... Smart Decision Network is the ecosystem for business data monetization ...
Avella, Italy
11-50 Employees
2014
Datonix Srl, Via de Sanctis 2 – 83021 Avella (AV). QueryObject are portable, open, compressed, secure, read only, sql compliant data providers. Secure APIs: QueryObject offers APIs for data access.
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datonix | Data Sharing & Monetization
... EMPOWER DATA Sharing AND MONETIZATION ...
Zug, Switzerland
11-50 Employees
2017
Datum is designed for innovators who empower individuals. Simply require the Datum JS API and store data securely with a single line of code. Datum users earn DAT for sharing their data with Datum partners. Reach 60,000 crypto enthusiasts Reward users and monetize app data Securely message users via Datum app. Build privacy-focused apps without being an expert Secure data on the decentralized Datum blockchain Manage dApp user data with a single line of code. Developers get built-in security and privacy features saving time and money. Product teams avoid the headache of storing, monetizing and messaging to users. DAT fuels the exchange of data and storage resources on the Datum blockchain.
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Blockchain Data Storage and Monetization
... Datum - Blockchain Data Storage and Monetization ...
London, United Kingdom
1-10 Employees
2018
Generate quality leads by delivering highly targeted content via the right online channels. Working with Jungle Bee is a great pleasure.
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Featured
Data Monetization.
... Data Monetization. ...
Onda, Spain
1-10 Employees
Dispones de un experto BDGas para todos tus trámites. Dispones de un experto BDGas para todas tus gestiones y trámites. Adaptamos nuestros productos y servicios a tu hogar y tu negocio, dispones de un experto BDGas para todas tus gestiones y trámites.
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Featured
Data Monetization
... Data Monetization ...
Chicago, United States
11-50 Employees
2015
At Discover Alpha, we enable organizations drive complex business decisions through compelling product engineering, data management and information governance solutions, with an emphasis on holistic approach to problem-solving. Our passion is advanced data engineering with a focus on data governance. Product engineering expertise from product conceptualization to design to prototyping to build, solving the growth challenges that most inventors and entrepreneurs face. Our teams consist of seasoned data engineers and product enthusiasts who strive to exceed expectations (alpha) at every step of your business journey. Discover Alpha offers technology solutions, advisory and strategy consulting services in Product Engineering, Data Governance and Decision Sciences with an emphasis on a holistic approach to problem-solving.
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Featured
Data Monetization | Product Development | Data Governance – Data Monetization | Product Development | Data Governance
... Data Monetization | Product Development | Data ...
Pasadena, United States
11-50 Employees
2003
We provide our clients access to programmatic video, display, interstitial and high-impact inventory using the most advanced ad serving technology and data targeting. Our team is passionate about delivering powerful, effective ad campaigns – for any audience, on any device. Alexander is a digital video and digital advertising early adopter with more than 25 years’ experience. Xan also serves as the head of Human Resources for Krush Technologies. Prior to roles with Krush, Xan founded a consultancy primarily focused on supporting tech startups by providing them strategic and agile human resources advice. Krush Media is a full-service digital advertising, media and data company that gives brands and publishers the ability to traditionally and programmatically execute powerful ad campaigns that engage and monetize audiences across all screens. Access our leading programmatic platform, private marketplaces, and programmatic direct publisher inventory. Deliver your advertising through display and video across desktop, mobile, and connected TV devices.
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Featured
Data Monetization
... Data Monetization – Krush ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Data Monetization
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 113 |
| Amount of suitable service providers | 112 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2002 |
| Youngest suiting company | 2019 |
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Data monetization refers to the process by which businesses and organizations extract financial value from data, converting it into a viable revenue stream. This involves collecting, storing, analyzing, and transforming data into actionable insights, products, or services that can be sold or utilized to make strategic decisions leading to financial gain. The methods of monetization can be direct, where data itself is sold or provided as a service, or indirect, where insights derived from data lead to improved operational efficiency, product development, and enhanced customer experiences, indirectly boosting revenue. In its role within various fields, data monetization acts as a pivotal driver of innovation and competitive advantage. It leverages the vast amounts of data generated by digital interactions and IoT devices, transforming them into assets that can significantly impact a company's bottom line. The practice not only contributes to the growth of data-driven strategies across industries but also encourages the development of new business models centered around data as a core product. As such, data monetization has become a crucial element in the digital economy, influencing how organizations approach data as a strategic asset and shaping the future dynamics of market competition and value creation.
1. Increased Revenue Streams:
Data monetization allows businesses to unlock new revenue opportunities by leveraging existing data assets. By analyzing and packaging data in ways that are valuable to others, companies can create new products or services, enhancing their revenue streams beyond traditional business models.
2. Competitive Advantage:
By harnessing the full potential of their data, businesses can gain insights that enable them to make better strategic decisions, tailor their products or services more closely to customer needs, and identify new market opportunities before competitors do. This insight-driven approach can provide a significant competitive edge.
3. Enhanced Customer Experience:
Data monetization strategies often involve the analysis of customer behavior and preferences, which can lead to improved customer experiences. By understanding what customers want and how they interact with products or services, companies can tailor their offerings to meet customer needs more effectively, resulting in higher satisfaction and loyalty.
4. Optimized Operations:
Leveraging data not only externally but also internally can lead to more efficient operations. By analyzing operational data, businesses can identify inefficiencies, streamline processes, and reduce costs, thereby improving overall operational effectiveness and contributing to the bottom line.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Security and Compliance
Ensure the supplier has robust security measures in place to protect sensitive data and complies with global data protection regulations like GDPR.
2. Data Integration Capabilities
The supplier should offer seamless integration with your existing data ecosystems, supporting various data sources and types.
3. Scalability
Choose a supplier that can scale its services in line with your data volume growth, without compromising performance or security.
4. Analytical Tools and Reporting
The ability to analyze and visualize data through comprehensive tools and reports is crucial for effective data monetization.
5. Customization and Flexibility
The supplier should offer customizable solutions that can be tailored to your specific business needs and objectives.
6. Experience and Reputation
Consider suppliers with a proven track record and positive customer testimonials in the data monetization space.
7. Support and Maintenance
Ongoing support and maintenance services are essential for addressing any potential issues promptly and ensuring continuous data monetization success.
Data monetization, the process of using data to increase revenue, finds varied applications in the B2B sector. In the financial industry, firms leverage data analytics to assess risk more accurately, enhancing loan and insurance underwriting processes. By utilizing vast amounts of historical financial data, these companies can predict future trends, tailor products to specific market segments, and reduce losses from defaults and claims. In the realm of healthcare, data monetization is crucial for improving patient outcomes and operational efficiency. Healthcare providers and pharmaceutical companies analyze patient data to develop personalized medicine, optimizing treatment plans based on individual genetic markers. Additionally, this data helps in streamlining clinical trials by identifying suitable candidates faster, reducing time-to-market for new drugs. The manufacturing sector utilizes data monetization through predictive maintenance. By analyzing data from machinery sensors, companies can predict equipment failures before they occur, minimizing downtime and extending the life of their assets. This not only reduces maintenance costs but also improves production efficiency, leading to higher revenue. Lastly, in the retail industry, data monetization is employed to enhance customer experience and drive sales. Retailers analyze purchasing behavior and preferences to offer personalized recommendations and promotions, significantly increasing customer engagement and loyalty. This tailored approach not only boosts sales but also provides valuable insights for inventory management and product development. Across these industries, data monetization offers a pathway to not only enhance operational efficiencies but also to create new revenue streams, demonstrating its versatility and value in the B2B space.
Data monetization, as a concept and practice, is currently operating at a high Technology Readiness Level (TRL), approximately TRL 8 to TRL 9. This assessment is based on the widespread deployment and integration of data monetization strategies and technologies across various sectors, indicative of its maturity and reliability. The technical reasons underpinning this high TRL include the advanced development of data analytics, artificial intelligence (AI), and machine learning (ML) algorithms that have significantly enhanced the ability to extract and analyze large volumes of data for economic value. Furthermore, the evolution and standardization of data exchange and API technologies have facilitated the secure and efficient sharing of data, critical for monetization efforts. The proliferation of cloud computing has also played a pivotal role, offering the scalable infrastructure needed to store, process, and analyze big data, making data monetization strategies more feasible and accessible to a wide range of businesses. Additionally, regulatory frameworks and data protection laws have matured, providing clearer guidelines and trust mechanisms for data sharing and monetization. These technical advancements collectively support the high TRL of data monetization, demonstrating its readiness for widespread application and its ability to deliver reliable economic value from data assets.
In the short term, advancements in data monetization are focused on enhancing data analytics and integration capabilities. Immediate developments include the implementation of AI and machine learning algorithms for more sophisticated analysis and predictive insights, enabling businesses to understand consumer behavior more accurately. There's also an emphasis on improving data privacy and security technologies to ensure compliance with regulations like GDPR and CCPA, which will foster consumer trust and allow for more effective data monetization strategies. Mid-term innovations are expected to revolve around the proliferation of IoT and edge computing, which will significantly expand the volume and variety of data available for monetization. This phase will see the emergence of more decentralized data marketplaces, facilitating direct transactions between data providers and consumers without intermediaries. Blockchain technology will play a crucial role in this stage, providing transparency and security to these transactions. Additionally, advanced analytics powered by AI and machine learning will become more accessible to smaller enterprises, democratizing the ability to monetize data across various industries. In the long term, the focus will shift towards fully autonomous data monetization systems, where AI not only analyzes data but also identifies and executes monetization opportunities autonomously. These systems will be capable of dynamic pricing based on real-time demand and supply of data assets. Moreover, the advent of quantum computing will revolutionize data processing capabilities, enabling the analysis of vast datasets at unprecedented speeds. This era will also witness the integration of virtual and augmented reality into data visualization, offering novel ways to understand and monetize data.
Some interesting questions that has been asked about the results you have just received for Data Monetization
What are related technologies to Data Monetization?
Based on our calculations related technologies to Data Monetization are Education, Engineering Services, IT & Technology Services, Healthcare Services, Consulting
Which industries are mostly working on Data Monetization?
The most represented industries which are working in Data Monetization are Information Technology, Data and Analytics, Software, Advertising, Professional Services
How does ensun find these Data Monetization Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
