Data Products
and Monetisation

Overwhelmed with data? Don’t suffer.

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Legacy systems and processes can be risky and lead to a lengthy and costly journey. They may also prevent you from realizing the full potential of one of your most valuable assets – your data. And perhaps leave you vulnerable to a competitive disadvantage in today’s fast-paced business environment.

Partner with Hoonartek to Boost Your Business Through Data-Driven Solutions.

Services

We help organizations leverage data and insights to fuel transformation, create innovative business models and revenue streams, and generate new sources of value for the company. Our solutions focus on maintaining data security, quality, and regulatory compliance, ensuring that your business is safeguarded and compliant while achieving optimal performance.
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12+ years - Data Services- multiple data integration technologies, various databases & data platforms

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Global Presence - US, Europe, UK, South Africa, Saudi Arabia, India, Kenya & Malawi, among other countries

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Expertise - Leverage technology insights to deliver fast and effective business results

Offerings

Our comprehensive data services encompass everything from migrating data from legacy systems to the cloud to managing your data platform, ensuring the highest levels of data quality, and even providing enterprise AI solutions. With our modular structure, you’ll gain access to automated workflows, built-in intelligence, and a unified view across your entire data estate.

Our goal is to transform your organization by optimizing your data assets and helping you make faster, better-informed decisions while working more efficiently and cost-effectively. With our expertise, you’ll be able to discover new sources of revenue, tap into the untapped business intelligence you already possess, and achieve the digital results you desire.

Data & Analytics

Capitalize on untapped business intelligence
  • Blueprinting and Roadmap
  • Rationalization and Transformation
  • Modernization and Governance
  • Data Migration (Cloud)
  • Data Monetization

Data Modernization

Get the insights you need to become data driven
  • Architecture
  • Data as a Service
  • Data 4.0

Data Governance

Enable better compliance, control, and decision-making
  • Data Catalog
  • Data Lineage (Business and Technical)
  • Data Quality
  • Data Standardization
  • Data Security

Data Connectors & Integration

  • Connectors Implementation and Management
  • API-driven economy (Core vs Surround)
  • Monetization
  • Microservices design patterns

Data Science, AI/ML

Maximize business value using AI/ML.

  • Data Science – Ideation to Implementation
  • ML Operationalization
  • LLM Operationalization
  • AI-driven Application Development

Benefits

  • Digital Data Platform
  • Consistent Customer Experience
  • Digital Ready Data Storage / Retrieval
  • Quicker Turn-Around Time (TAT)
  • Lower operating costs

FAQs

What are data cloud services and how does it work?

Data cloud services provide a scalable and flexible environment for storing, processing, and analyzing data. They work by leveraging cloud computing infrastructure to offer on-demand access to data storage, computing power, and data & analytics services. This enables businesses to move away from traditional on-premises data warehouses to a more agile and cost-effective solution. Hoonartek helps businesses leverage the power of data cloud services to improve data management and derive valuable insights.

What are the benefits of a data cloud?
A data cloud offers numerous benefits, including scalability to handle growing data volumes, cost-efficiency by eliminating the need for upfront infrastructure investments, improved accessibility for users across locations, enhanced collaboration, and increased agility to respond to changing business needs. Data & analytics services in the cloud enable faster data processing and analysis, leading to quicker, data-driven decisions
What are the challenges of implementing a data cloud?
Implementing a data cloud can present challenges such as data security and compliance concerns, the complexity of data migration, potential integration issues with existing systems, the need for skilled personnel to manage the cloud environment, and the importance of having a well-defined data governance strategy.
How to Start with Data Monetization?
Starting with data monetization involves several key steps. First, identify valuable data assets within your organization. Next, define clear business objectives for monetization. Then, determine the appropriate monetization model (e.g., direct sales, data enrichment, insights as a service). Finally, implement the necessary data & analytics services and infrastructure to support your monetization strategy.
What do you mean by data monetization?
Data monetization refers to the process of generating economic value from data assets. This can involve directly selling data, using data to improve existing products or services, creating new data-driven offerings, or leveraging data insights to optimize business operations and increase revenue.
What are examples of monetizing data?
Examples of monetizing data include selling anonymized customer data (PII masking) to research firms, providing personalized recommendations based on customer behavior, offering data & analytics services to other businesses, and using data to optimize pricing and marketing / ad campaigns.
What companies use data monetization?

Many companies across various industries use data monetization. Examples include e-commerce companies that personalize product recommendations, financial institutions that offer data & analytics services to clients, and telecommunications and media companies that sell aggregated location data.

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