The Role of Big Data in Decision-
Making and Marketing
Presented By : Group One
• Big Data consists of large, complex data
sets that require advanced tools for
processing.
• It involves collecting, storing, and analyzing
structured and unstructured data from
sources like social media, transactions,
sensors, and online interactions.
What is it?
1. Real-Time Decision Making – Enables
businesses to react quickly to market changes
using live data streams.
2. Data-Driven Insights – Helps organizations
make informed choices based on patterns and
trends rather than intuition.
Big data in decision–
making
1. Customer Personalization – Analyzes
customer behavior to create targeted
campaigns and recommendations.
2. Predictive Analytics – Uses past data to
forecast trends and improve marketing
decisions.
Big data in marketing
1. Data Privacy and Security – Protecting
sensitive information from breaches and
ensuring compliance with data regulations.
2. Data Quality and Management – Ensuring
data accuracy, consistency, and handling large
volumes effectively.
Challenges of big data
implementation
• As technology advances, Big Data will continue to
evolve with innovations.
• AI-driven analytics will enhance predictive
modeling, while blockchain technology can
improve data security and transparency.
• Companies that embrace Big Data will have a
competitive advantage in making smarter business
decisions and delivering more effective marketing
strategies.
Future implications
Does Anyone Have a
Questions?
Thank you!

Empowerment-Technologies making and.pptx

  • 1.
    The Role ofBig Data in Decision- Making and Marketing Presented By : Group One
  • 2.
    • Big Dataconsists of large, complex data sets that require advanced tools for processing. • It involves collecting, storing, and analyzing structured and unstructured data from sources like social media, transactions, sensors, and online interactions. What is it?
  • 3.
    1. Real-Time DecisionMaking – Enables businesses to react quickly to market changes using live data streams. 2. Data-Driven Insights – Helps organizations make informed choices based on patterns and trends rather than intuition. Big data in decision– making
  • 4.
    1. Customer Personalization– Analyzes customer behavior to create targeted campaigns and recommendations. 2. Predictive Analytics – Uses past data to forecast trends and improve marketing decisions. Big data in marketing
  • 5.
    1. Data Privacyand Security – Protecting sensitive information from breaches and ensuring compliance with data regulations. 2. Data Quality and Management – Ensuring data accuracy, consistency, and handling large volumes effectively. Challenges of big data implementation
  • 6.
    • As technologyadvances, Big Data will continue to evolve with innovations. • AI-driven analytics will enhance predictive modeling, while blockchain technology can improve data security and transparency. • Companies that embrace Big Data will have a competitive advantage in making smarter business decisions and delivering more effective marketing strategies. Future implications
  • 7.
    Does Anyone Havea Questions?
  • 8.