Video title: Lecture 6 Implementing Data-Driven Decision-Making Part - 3 Urdu Hindi

Welcome:
Welcome to Emerging Technologies YT channel where we decode complex concepts into easy digestible content. Data in this world is the most important ingredient, and organizations are changing their fate in the modern world by leveraging data. See the power of data!

Introduction to Data Engineering:
Data engineering acts as the backbone in the modern digital world, empowering almost every sector in today’s fast-paced digital advancement. Whether it’s your favorite streaming service or personal recommendations on an e-commerce platform, the magic behind this is “Data Engineering.”

Data-Driven Decision-Making for Marketing:
Data-driven decision-making involves making choices based on data analysis and interpretation. This approach is far more effective than relying on personal opinions or biases, as decisions based on informed values or facts are more valuable in driving business growth. Implementing data-driven strategies can increase customer acquisition by 23-25% and boost profits by 15-20%.
In marketing, data-driven decisions allow businesses to understand customer behavior, preferences, and trends more accurately. This leads to more targeted marketing campaigns, optimized resource allocation, and better ROI. The power of data-driven marketing lies in its ability to transform raw data into actionable insights, enabling businesses to make strategic decisions that enhance customer engagement and drive growth.
From a data engineering perspective, data-driven decision-making on marketing campaigns involves: collecting and integrating data from various sources to ensure a comprehensive dataset, ensuring data quality and consistency through cleaning and validation processes, implementing robust data pipelines to automate data flow and transformations, using analytics tools to extract insights and identify patterns in customer behavior, setting up real-time data processing for timely insights, and maintaining detailed documentation for reproducibility and transparency. These steps enable marketers to make informed decisions based on accurate and timely data, ultimately optimizing campaign performance.
From an analyst's perspective, data-driven decision-making on marketing campaigns involves: analyzing data to identify trends and customer behaviors, segmenting audiences for targeted marketing efforts, creating visualizations to communicate insights effectively, using statistical methods to measure campaign effectiveness, performing A/B testing to compare different strategies, interpreting data to provide actionable recommendations, and continuously monitoring campaign performance to make adjustments. This approach ensures that marketing strategies are informed by data, leading to more effective and efficient campaigns.

Case studies we talked about:
Session, I delivered in UK on Data driven decision making on marketing campaign.

Course Overview:
In this “Introduction to Data Engineering and Data-Driven Marketing”, we are going to learn about:
Data engineering concepts
ETL, ELT, ELLT
Data-driven decision making
AB Testing
Data governance challenges and solutions
Common mistakes in data transformation
ISO standards
DMBOK framework for data governance
Omni-Channel Marketing
Multi-channel marketing
Open-source tech stacks
Case studies


Playlist Information:
To learn the concepts, best practices, strategies, case studies, and hands-on activities, check out the following data engineering playlist.

About Instructor:
My name is Jawwad Ali Khan, MCSE (Data Management & Analytics), Masters in Data Engineering & Information Management, and I hold 15+ certifications related to the data domain. I have around 10 years of professional experience in various IT domains. I contribute to the community through trainings, university sessions, online webinars, and have authored a book on data engineering & BI. My experience includes planning and managing revenue-generating projects, aligning business goals with technology solutions to drive process improvements, competitive advantage, and bottom-line gains. I specialize in recording, interpreting, and analyzing data to drive business solutions in a fast-paced environment.
LinkedIn: Jawwad Ali Khan


LinkedIn: LinkedIn.com/in/jawwadak

Book Ordering URLs:
Book: Data Engineering & BI - Book: - ڈیٹا انجینئرنگ اور بزنس انٹلیجنس by Gufhtugu Publications
WordPress Site Link
https://gufhtugu.com/data-engineering-bi/
Shopify Site Link
https://gufhtugu.us/products/data-engineering-bi
App Link
https://gufhtugupublications.page.link/YW3bUcviAg5otLLq7




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