Category: Big Data
Big data is no longer just a tool for record-keeping in the insurance industry as it has become a strategic force enabling fraud prevention, faster claims, and personalized pricing. Yet adopting these capabilities isn’t without challenges, whether it’s navigating compliance requirements or controlling costs. With the right cloud-native approach, however, insurers can overcome these hurdles. This article shares how insurers can partner with a company such as Romexsoft to transform data into measurable business outcomes.
The blog gives an overview of:
- Evolution of data usage in insurance
- Benefits of big data analytics for insurers
- Core challenges of adoption
- Practical use cases with AWS examples
- Strategic approaches to overcome adoption barriers.
This article explains the benefits of using big data analytics in banking, as well as the challenges associated with implementing these solutions, and provides real-life examples. We will also examine the impact that politics in various regions have on the adoption of analytic tools and cloud-based technologies in the fintech sector.
The blog gives an overview of:
- the importance of big data analytics
- challenges of implementing big data in banking
- key use cases of big data and analytics in fintech
- regional outlook for the use of big data in banking
- how Romexsoft supports banks with big data
This article explains how to ensure the security of a data lake and why it’s essential to incorporate it from the planning stage onward. As threats continue to evolve, your security must be able to cope with the rising challenges, which will require thorough planning, solid foundations, and effective monitoring, auditing, and alert processes.
The blog gives an overview of:
- what a data lake is and why its security matters
- core data lake security domains
- the technical and compliance challenges in securing a data lake
- comparison of SDL and SIEM
- architecture-level and operational best practices for securing data lakes on AWS
The benefits of big data analysis for financial risk management explained with examples, use cases and commentary from experienced developers.
The digital space has become an integral part of our everyday lives. Users worldwide have been producing loads of data there. Speaking of numbers, the total amount of data is 2.7 Zettabytes. The data comes from variable sources: transactions, social media, internet applications. The phrase Big Data describes the increasing volumes of digital information. Big […]
Big Data has become a cornerstone of modern decision-making, powering everything from predictive analytics in healthcare to real-time fraud detection in finance. By enabling organizations to process massive volumes of structured and unstructured data at speed, it opens the door to deeper insights, smarter automation, and new business models. However, alongside these opportunities come significant challenges, from data privacy risks and infrastructure costs to the complexity of managing large-scale systems.
In this article, we examine the main advantages and drawbacks of Big Data to help you understand its potential, its pitfalls, and how to approach it strategically.
Get to know why Ukraine is one of the most attractive countries for outsourcing data science services.
Learn how to empower digital marketing with big data. Expert commentary on personalization, retention and targeted marketing campaigns from data scientists.
