Accelerate Sales & Conversions with AI-Powered Data Analytics

Accelerate sales & conversions with AI-powered data analytics

In today’s fast-paced global business environment, understanding and interpreting business data is essential for creating impactful strategies and maximizing ROI. The course “Accelerate Sales & Conversions with AI-Powered Data Analytics” equips businesses with the tools and knowledge to leverage AI-powered data analytics for sustainable success. Participants will explore the significant impacts of the global business landscape and learn how AI-driven digital analytics can pinpoint key success factors. By utilizing predictive insights into customer behaviors and potential product strategies, businesses can make informed decisions that drive growth and efficiency.

Learners will gain practical experience with Magic Eyes Data Analytics technology, allowing them to analyze their business data, uncover valuable insights, and implement predictive recommendations. The course covers critical skills such as developing and executing e-commerce strategies, collecting and analyzing data for actionable insights, and using statistical techniques to interpret data and identify improvement opportunities.

Additionally, the course focuses on revenue optimization by analyzing trends, forecasts, and managing pricing, inventory, and distribution channels to maximize revenue growth. Participants will also learn to plan and execute effective e-commerce campaigns to boost sales and conversions. By the end of the course, learners will be able to transform their business data into strategic assets, driving enhanced sales and conversions through AI-powered analytics.

No intakes available

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Classroom: 2 days (9am - 6pm)
Practical Mentorship: 1 day
Asynchronous Project: 48 hours. IMPORTANT NOTE: Students do not have to attend classes for their asynchronous project, but are expected to complete the assigned project at their own time. Completed assignments are to be submitted as advised by trainers.

  1. Challenges of the Evolving Business Landscape
  2. Data Insights is a Business’ Critical Success Factor
  3. Driving Exponential Business Returns
  4. Magic Eyes AI-Powered Data Analytics
  5. Formulating Business and Marketing Strategies with AI Predictive Analysis
  6. Deriving Execution plans from AI Predictive Analysis

Course participants will acquire the following Knowledge, Skills and Competencies:

  1. Understand the impacts to business sustainability through insights to the evolving global business landscape and the aggressive challenges it presents.
  2. Recognise the benefits to business sustainability and progress from the value, purpose and use of big and business-specific data.
  3. Discover how AI-powered data analytics can drive exponential business returns through the use of the Magic Eyes data analytics technology to interpret and analyze data.
  4. Gain insights to the relevant functionality and features of the Magic Eyes data analytics technology through hands-on application and trends forecasting.
  5. Discover how a business, marketing strategy or e-commerce campaigns can be formulated from the use of AI-powered data analytics through the Magic Eyes technology.
  6. Develop an execution plan using the Magic Eyes software predictions on customer behaviours and product associations from business data.

Category

Price

Full Fee

$4,196.50

Singapore Citizen (70% funding)

$1,258.95

Singapore Citizen 40 years and above1 (90% funding)

$488.95

Singapore Citizen sponsored by SMEs2 (90% funding)

$488.95

Singapore PR (70% funding)

$1,258.95

Singapore PR sponsored by SMEs2 (90% funding)

$488.95

*All fees are fully payable to Singapore Institute of Retail Studies.
Fees include prevailing GST
Funding Eligibility Period: 1 Jan 2025 to 31 Dec 2027
^1 Fee is under the Mid-career Enhanced Subsidy(MCES)
^2 Fee is under the Enhanced Training Support for SMEs (ETSS)

This course is also eligible for the following:

For self-sponsored participants:

For company-sponsored participants:

For more information about funding and support, click here.

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