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Top Data Science Companies in Vietnam


The biggest advantage data science brings into your business is mitigating risk and fraud. Data science companies are experts in detecting and eliminating unusual and risky data. Data science equips decision-makers with accurate information to make informed choices. The Top data science solutions assist businesses in identifying and refining the target audience for the benefit of the company in Vietnam. Whether you are Searching to access trends to direct your action for achieving business goals or test certain decisions, data science can aid you. Look out the following mentioned Top data science service providers, to ease the processing of big data.

2 Companies

profile

NeurondAI

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Neurond is an artificial intelligence company that provides businesses with customized AI solutions. Founded in 2020 by AI experts with 20 years of experience in this field, Neurond is committed to helping businesses harness the power of AI to transform their operations and drive growth. What sets Neurond AI apart is its deep understanding of client’s businesses and the ability to deliver solutions that meet their specific needs. We will work alongside you to turn your business ideas into reality. Neurond AI provides world-class Artificial Intelligence and Data Science solutions to companies around the globe. Our services include AI, Business Intelligence, Data Engineering, Data Science & Analytics Solutions, and MLOps.

  • dollar

    $25-49/hr

  • user

    10 to 49

  • calender

    2020

  • location

    Vietnam

profile

GEM Corporation

No Reviews

Global Enterprise Mobility (GEM) is a premier provider of cutting-edge IT services with a view to spearheading innovation in Vietnam's tech landscape. Founded in 2014, GEM has become a distinguished and trusted tech partner of global clients thanks to our diverse array of services tailored to meet their evolving needs of our clients. GEM offers key services: - Application Modernization - Technology Transformation - Cloud Transformation and Managed Services - Data Platform Development and Data Migration - System Integration - BI & Analytics - AI Solutions Why Choose GEM? 1. Innovative Solutions: GEM possesses an extensive tech stack and best industry practices to deliver innovative solutions that exceed expectations. 2. Client-Centric Approach: Our unwaveRead More

  • dollar

    <$25/hr

  • user

    250 to 499

  • calender

    2014

  • location

    Vietnam

Frequently Asked Questions

Data science combines statistical analysis, machine learning, and programming to extract insights from complex data. Unlike traditional BI, which focuses on historical reporting, data science uses predictive modeling and advanced algorithms to forecast trends and make data-driven decisions.

Data science techniques can analyze patterns in large datasets to identify anomalies and potential fraud indicators. By using machine learning algorithms, businesses can detect unusual activities, predict potential risks, and take preventive measures more effectively than traditional methods.

Data science companies can help businesses make informed decisions, optimize operations, improve customer targeting, and gain competitive advantages. They bring expertise in advanced analytics, machine learning, and big data technologies that many businesses lack in-house.

Data science solutions use techniques like customer segmentation, predictive analytics, and behavior modeling to analyze customer data. This helps businesses identify patterns, preferences, and potential high-value customers, allowing for more targeted and effective marketing strategies.

Look for providers with a strong track record, expertise in your industry, a range of services (from data collection to implementation), clear communication skills, and the ability to translate complex analyses into actionable insights. Also, consider their technology stack and data security measures.

While big data focuses on processing and managing large volumes of data, data science goes a step further by applying advanced statistical and machine learning techniques to extract insights and make predictions. Data science often uses big data as a foundation but adds more sophisticated analysis and modeling.

Challenges can include high initial costs, the need for skilled personnel, data quality and integration issues, and potential privacy concerns. It's also important to manage expectations, as data science projects may take time to show tangible results and require ongoing maintenance and updates.

Small to medium-sized businesses can use data science to optimize operations, improve customer targeting, and make data-driven decisions without needing to build an in-house team. Many data science companies offer scalable solutions that can be tailored to smaller businesses' needs and budgets.

Data science projects can use various types of data, including structured data (like databases), unstructured data (like text and images), and semi-structured data (like JSON files). This can include customer data, transaction records, social media data, sensor data, and more, depending on the project's goals.

The timeline for seeing results can vary greatly depending on the project's scope, data availability, and complexity. Some quick wins might be visible in a few weeks, while more complex projects could take several months to show significant results. It's important to set realistic expectations and milestones with your data science service provider.

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