Databyte Academy

Marketing Analytics Program

Tools – SAS /R/SPSS
Duration – 40 hrs

As the practice of marketing shifts from a product-focused to a customer-centric approach, marketing professionals need a deeper-than-ever understanding of customer preferences and needs. With the advent of analytics, marketers are now expected to make data-driven decisions based on quantitative analysis to ensure targeted product and service offerings for different customer segments.

This course aims to teach you on how to use customer-related and marketing data to understand and take better decisions around various aspects starting from customer acquisition, lifetime management and retention for better customer targeting, improved pricing and profitability. A strong blend of advanced analytics along with the marketing function, taught in conjunction with hands-on case studies assures to achieve the desired result.

Learn how predictive analytics can help you understand customer behavior and tailor messaging to improve the customer journey.

I would like to know more

""
1
Nameyour full name
no-icon
Contact NumberContact Number
no-icon
Subject
no-icon
Messagemore details
0 /
keyboard_arrow_leftPrevious
Nextkeyboard_arrow_right

Corporate Training In 2019

 

ANALYTICS in this Big Data world is a business priority. It is expanding from enterprise data to BIG DATA. By leveraging Big Data & Analytics, businesses create the potential to better understand, manage, and strategically exploit the complex dynamics of customer behavior. Analytics in Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities.

WHY DATABYTE ACADEMY?

 

Learn from Practitioners, not trainers – Learn analytics skills that will forever transform the way you work


Data & Analytics, A Business Priority

Learn how analytics can have a significant impact on your business decisions by uncovering the powerful insights from your organization’s hidden data.


Customized Training

We work with you in developing a program that attains your training objectives. Training can also be built to include case studies with your data for practical learning.


Talent Development

Up-skill & reskill your current workforce with our high value added, result oriented training programs.

CLIENTS TESTIMONIAL


A great introduction course to attend for anyone who plans to expose himself in Big Data. The course covers how problem solving should be conducted from a consultant perspective (analytical approach). The approach used can help an analyst to tackle the main problem and provide a meaningful analysis and solution to the business / organization. Course was conducted by two well-experienced consultants. Information / knowledge / experience shared and extended to participants are highly valuable. – Human Resource, Learning & Development – LAZADA


“I had a wonderful 5-day journey of analytics problem-solving with the team and it has built a solid foundation for me to continue this journey as I progress in my career.” – Manager, OMRON Electronics Sdn Bhd


“Databyte Academy is a great place to learn Data Analytics related skills. The content covered during the course is really useful and related to the day to day scenarios that one might come across in the industry. A well-equipped teaching facility and experienced teaching professionals with a strong grip on Data Analytics. The trainer Mr. Manuj was highly experienced and a subject matter expert. He covered topics in detail and made sure all our doubts are cleared. I would recommend Databyte Academy to anyone who wants to pursue their career in Anaytics.” – Agency Supervisor-Public Mutual Berhad


“I have enjoyed the Certified Data Scientist Program that Databyte has offered and am confident that it will help me in up-skilling and increase my employability as I continue to do some self-learning and enhancements.” – Management Executive Sime Darby Property Berhad

We have trained some of the leading companies across industries…

Login Form

Register Form