Unveiling Information: Processing, Evolution, and Communication This presentation explores the world of information, from its foundational concepts to its remarkable evolution. We'll delve into: What is Information? - Understanding the difference between raw data and meaningful information. The Information Processing Cycle - Unveiling the steps involved in processing information, from input to output and storage. Evolution of Information Processing - Witnessing the fascinating journey of information processing, from memory-based societies to the age of the internet. Data vs. Information - Differentiating between unorganized data and the power of processed information. The Role of Language - Exploring how language shapes the way we process and communicate information. By understanding information processing, we gain a deeper appreciation for the way we learn, communicate, and navigate the world around us.

1. Manish Kumar | Assistant Professor | 31 January 2024| MIB
COMPUTERAPPLICATION
Information: Information concepts and processing; Evolution of information processing; Data
Information-language and communication
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Rs724.2
crore
What do you Interpretby this number

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Blinkit'srevenuefrom
operationstripledtoRs724.2
crorefromRs236.1crorein
FY22.
Blinkit, formerly Grofers, has revolutionized
grocery delivery in India with its lightning-fast
10-30 minute service. This speed has
attracted a unique set of consumers with
specific shopping patterns. Let's delve into:

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Thissignificantgrowthcanbeattributedtoseveral
factors,including:
Zomato acquisition Increased focus on
quick commerce
Marketplace
commissions
1 2 3
Access to resources
and expertise,
boosting its customer
base and operations.
Strategic shift towards faster
delivery of daily essentials
resonated with customers,
leading to higher order
volumes.
2.75X
Rs404.5crore

5. An Information System is a system that gathers data and
disseminates information with the sole purpose of providing
information to its users.
INFORMATION
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TosumUp DATA
Data can be described as unprocessed facts and figures. Plain
collected data as raw facts cannot help in decision-making.

6. Data Processing Information
Department
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Rs724.2
crore
Blinkit'srevenuefromoperations
tripledtoRs724.2crorefromRs
236.1croreinFY22.

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HowBlinkitCollectsData
Blinkit collects data from various sources through its app, backend systems, and
operations, primarily focusing on two categories: user data and operational data.
Explicitdata Implicitdata
Name, email address, phone number
Delivery address
Order history and preferences
Payment information (masked for security)
App usage patterns and interactions
Feedback and reviews
Location data (GPS coordinates)
Device information (type, operating system,
etc.)
Browsing behavior and product views
Clickstream data (taps, scrolls, etc.)
Time spent on different app sections

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HowBlinkitCollectsData
Blinkit collects data from various sources through its app, backend systems, and operations, primarily
focusing on two categories: user data and operational data.
Operationaldata: DataCollection
Mechanism
Transaction data: Order details, pricing, payment
methods, fulfillment processes
Inventory data: Stock levels, product location,
movement within warehouses
Delivery data: Delivery routes, timings,
performance metrics of delivery partners
Customer service data: Call logs, chat transcripts,
resolution times
App SDKs: Tracking user behavior and
interactions within the app using mobile
SDKs.
Server-side logging: Recording user actions
and system events on backend servers.
API integrations: Collecting data from third-
party services like payment gateways and
logistics providers.
Real-time data streams: Capturing live data
updates through technologies like Apache
Kafka for immediate analysis.

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DataStorageandUsage:
Data warehouse: Structured data like orders and transactions are stored in a central data warehouse
for historical analysis and reporting.
Data lake: Unstructured data like user logs and clickstream data are stored in a data lake for flexible
analysis and machine learning applications.
Data governance: Blinkit prioritizes data privacy and security through access controls, anonymization
techniques, and adherence to relevant regulations.

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usageofdATA
Personalization: Recommending relevant products and offers based on user preferences and purchase
history.
Operational optimization: Improving delivery routes, managing inventory efficiently, and identifying
areas for cost reduction.
Marketing and promotions: Targeting users with relevant advertising and campaigns based on their
demographics and behavior.
Product development: Understanding user needs and preferences to develop new features and
functionalities.

11. Analyze how Flipkart's data processing
techniques evolved over time. How did these
changes contribute to their growth and
success? What challenges did they face at each
stage, and how did they overcome them?
#1
DiscussionPoints
Discuss how Flipkart utilizes data to bridge
information and user experience gaps. Consider
examples like personalized recommendations,
vernacular language support, and dynamic pricing.
How does this data-driven communication strategy
enhance customer engagement and satisfaction?
#2 Identify Flipkart's key challenges regarding data
privacy, AI bias, and evolving customer
expectations. What potential solutions and future
directions could they explore to address these
challenges and maintain their dominance in the
information-driven e-commerce landscape?
#3
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