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Top Predictive Analytics Companies in Vietnam


Big Data has turned out to be crucial for the modern business globe; especially data-driven decisions. Are you are Searching for data-driven services to aid your entrepreneurial efforts? If yes, you should try Predictive Analytics Services. Predictive analytics solutions provider use collected data, statistic analytics, and AI algorithms to recognize patterns and predict future outcomes. These services are crucial for businesses as it powers executives to take efficient decisions. To choose the Top player, Business Agencies in Vietnam lists some of the market-major Predictive Analytics Companies; which can be assessed based on their client reviews, company details, and Business Agencies' research rankings.

2 Companies

profile

GEM - Global Enterprise Mobility Corporation

No Reviews

Global Enterprise Mobility (GEM) is a leading provider of excellent IT services in Vietnam. Founded in 2014, GEM has created diverse service offerings, which include application development & maintenance and emerging tech development - namely AI and Big Data solutions. GEM has been the proud IT partner of businesses of all scales and industries from all over the world - Japan, Singapore, New Zealand, South Korea, the US, and the EU. Our clients is empowered by GEM's CMMI-appraised delivery process and extensive technical strategy consultancy service. As a leading IT service provider, GEM’s service stands out with three key benefits for businesses - Competent IT personnel: Tech-savvy professionals experienced in handling projects of all scales and various industries - Extensive tech-stack: Read More

  • dollar

    <$25/hr

  • user

    250 to 499

  • calender

    2014

  • 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

Predictive Analytics is a branch of data analytics that uses historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data.

Unlike descriptive analytics that focuses on past events, Predictive Analytics aims to forecast future trends and behaviors, enabling businesses to make proactive decisions.

Predictive Analytics helps businesses improve decision-making, reduce risks, optimize operations, enhance customer experiences, and identify new opportunities for growth.

Some limitations include the need for large amounts of quality data, potential for bias in algorithms, and the risk of over-reliance on predictions without considering other factors.

They use various techniques such as cross-validation, backtesting, and continuous model refinement to improve accuracy. However, it's important to note that predictions are never 100% accurate.

While Predictive Analytics can be useful in many sectors, it's particularly valuable in finance, healthcare, retail, manufacturing, and marketing industries.

While BI tools typically focus on reporting past performance, Predictive Analytics goes a step further by using that data to forecast future trends and outcomes.

Look for providers with strong data science skills, industry-specific knowledge, a track record of successful projects, and the ability to clearly communicate complex insights.

Small businesses can use Predictive Analytics for tasks like forecasting sales, optimizing inventory, predicting customer behavior, and identifying potential risks or opportunities.

Businesses should consider their data quality and availability, clear business objectives, the necessary infrastructure, and the potential impact on current processes and decision-making.

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