BigData to SmartData with BlockChain Technology
: BlockChain Fuzzy Analytics Meets Tomorrow’s Industry
The Digital Age : BlockChain , BigData , and
AI bring “Digital Revolution”
10 MSs’  $4 T market cap
China $337B
Mobile/Cloud
first  AI first
AI top 6 trends
Gartner “perceptual smart
machine age” top 3 trends
AI tools, hardware,
open source (OpenAI)
FSR summit, $91.7 Trillion, AI key
Data volumes driving BlockChain , AI and
BigData
Only AI has the power to
analyze this data to solve
grand challenges and problems
guiding our future.
44 ZB
2020,
50x 2010
2015/16
entire
human
history
26 billion
IoT
devices
2020
4th Industrial Revolution
The Fourth Industrial Revolution
by Prof Klaus Schwab World Economic Forum;
Subject UBS paper
EXTREME automation,
connectivity
Cyber-physical systems
driven by AI and robots
AoE: AI of Everything
Is AI creating a digital quake where >
80 percent of companies and jobs will need to change or fail?
What are the implications to society, economic
development, and path to prosperity?
AI technical standards achieve SDGs?
AI Driven Unprecedented Era
Hyper time compression
new disruptive innovations
Extreme convergence
of multiple domains
Exponential accelerating automation
– smart sensors and the 26 billion IoT devices by 2020
(11 trillion USD by 2025)
Universal connectivity linked
by a digital AI mesh
NEURAL NETWORKS , BLOCKCHAIN AND DATA
GROWTH OF DATA GALAXY
Gartner’s top Strategic predictions for 2017
•
By 2020, 100 million consumers will shop in augmented reality.
•
By 2020, 30% of web browsing sessions will be done without a screen.
•
By 2019, 20% of brands will abandon their mobile apps.
•
By 2020, algorithms will positively alter the behavior of over 1 billion global workers.
•
By 2022, a block chain-based business will be worth $10 billion.
•
By 2021, 20% of all activities an individual engages in will involve at least one of the top-seven
digital giants.
•
Through 2019, every $1 enterprises invest in innovation will require an additional $7 in core
execution.
•
Through 2020, the Internet of Things (IoT) will increase data center storage demand by less than
3%.
•
By 2022, IoT will save consumers and businesses $1 trillion a year in maintenance, services and
consumables.
•
By 2020, 40% of employees can cut their healthcare costs by wearing a fitness tracker
Digital is becoming mainstream!
Source: PWC Survey April2016 Results. Respondents expect to more than double their level of digitization by 2020
EXPONENTIAL GROWTH OF DATA PROCESSING
(Integrating Big Data with Customer Relationship Management)
Understanding Customer better
Better Understanding of the Customer-Facing Operations
Decision Support
Predictive Modelling
Benchmarking
SMART MALLS with Fuzzy Digital Media Analytics with Core Transactional Systems and
Operational Systems
Compare
Target
Segment
Track
Track vital store data in
one place and match
against your goals.
Use insights gained
from real-time data to
segment your
audiences and
products.
Set indicators to
monitor the status of
your goals, and
minimize risks and
surprises.
Compare reports
from multiple stores
or sets of data to
identify
differentiators and
opportunities.
7
Fuzzy Trends : Fuzzy Digital Media Analytics
Traffic
Know when your customers visit your store.
Heat map
Know where to place your product and
where traffic jams occur
Demographic
Understand who your customers are by age and gender
Conversion Rate
Know the effectiveness of campaigns and
.
changes through real-time feedback.
Shopping Time
Know how long your customers stay in the store.
Dwell Analysis
Understand how long customers dwell at
end caps and display walls.
8
Fuzzy Trends : Day/Month/Time Wise Analysis
Time-wise Analysis
Branch Wise Time Footfall
Holiday Footfall Analysis
Branch Wise Monthly Footfall
9
Fuzzy Trends : Campaign Effectiveness
Visitor Count & Outside Traffic
Analysis
Customer Analysis
Turn in Rate Analysis
Sales Conversion Analysis
Time Duration Analysis
Returning Customer Analysis
10
Fuzzy Trends : Footfall/Tune-in Rate Comparison
Visitor Duration Analysis
Turn in Rate Comparison
Footfall Comparison Analysis
11
Fuzzy Trends : Conversion, Cross Shopping & Returning Customer Reports
Sales Conversion Analysis
Cross Shopping Analysis
Conversion Analysis
Returning Customer Analysis
12
Fuzzy Trends : Industry Resourcing and Staff Planning
Staff Planning Analysis
Over Staff Analysis
Staff Time Wise Scheduling
14
Fuzzy Trends :
Industry Store Manager Reports
Turn in Rate Analysis
Outside Traffic Analysis
Week Day/End Analysis
15
Fuzzy Trends :
Industry Manager Reports
Visitor Trend Analysis
20
Fuzzy Trends :
Store Manager Reports
Visit Duration Analysis
Visitor Analysis
Visitor Week Day/End Analysis
Visitor Time Analysis
16
Fuzzy Trends :
Store Manager Reports
Returning Customer Analysis
Returning Trend Analysis
Returning Trend Time Wise
Analysis
17
Fuzzy Trends :
Store Manager Reports
Visitor Analysis
Staff Ratio Analysis
Zone Wise Analysis
19
Leveraging IIOT Architectural Framework
• IIOT Engineering Stack : Industry Innovations Full IIOT/M2M/IOT/ERPs/Other
Data Sources Stack and Framework which includes Chips , Sensors , PLCs , SCADA ,
ABB , Advantech , Digital Machines with Protocols , Network Infrastructure ,
Middleware Stack etc
• IIOT MDG Stack : Industry Innovations IIOT/M2M/IOT/ERPs/Other Data Sources
Datawarehouse Master Data Governance for Policies and Procedures / Compliance.
• IIOT BigData Framework : Industry Innovations IIOT/M2M/IOT/ERPs/Other Data
Sources : BigData – Data Science Framework for churning Data to the Analytics Layer
• IIOT Fuzzy Analytics Framework : Industry Innovations Fuzzy Analytics (AI/BI
Model)
IIOT Enterprise Solution Architectural Framework
IIOT Fuzzy Analytics Framework
Banking
Insurance
Healthcare
Government
Analytics –Industry and Functional
Consulting Expertise
Transport
Telecom
Social
Cloud
Business Process Management
Operational Decision Management
Industry
Analytics – Industry Solutions
and Accelerators
Analytics –Managed
Business Processes
IIOT BigData Stack
Mobile
Energy
Big Data
Case
Management
IIOT MDG Stack
IIOT MDM Business
Intelligence
IIOT MDM Predictive
Analytics
IIOT Engineering Stack
(Cellio , SCADA , ABB)
IIOT
Enterprise Content Management
IIOT
Master Data Management
Oracle M2M Enterprise Gas Analytics Solutions
M2M Application
M2M Area Network
Service
Capabilities
M2M
Core
M2M
Gateway
Client
Application
28
Oracle Enterprise Refrigeration Analytics Solutions
M2M Application
M2M Area Network
Service
Capabilities
M2M
Core
M2M
Gateway
Client
Application
29
Fuzzy Trends with Oracle Industry Analytics
Fuzzy Analytics with Industry Financial Cycle
Fuzzy Analytics with Industry Customer Clusters and Segmentation
Fuzzy Analytics – Deep Diving into the Profitability
SOURCES OF DATA (IN Industry)…
Social Media Sites –
Used in marketing
of products, tracking
customer behaviour,
trends etc.
RFID Chips
Used for the
purposes of
automatically
identifying and
tracking tags
attached to
objects
Video Surveillance
Systems
with video analytics that
record store traffic patterns,
employee-customer
interactions, and customermerchandise interactions
(such as the dwell time
around an end cap)
SMART DATA FLOW CHART
PDT
CAMERAS
Data
Sources
SURVEY/
LOYALTY
CARD
SAFEER
MEDIA
CASH
COUNTER
SOCIAL
NETWORKIN
G SITES
BIG DATA
Analysis
SMART
DATA
ENTERPRISE MOBILITY OF SMART MALLS , FUZZY
ANALYTICS AND THE ROLE OF PDT DEVICES IN Industry
The mobile handheld devices also known as the
“intelligent Devices” today form the backbone of the
Industry industry.
Greater the use of PDT
devices
Greater is the data
collected
Better is the
understanding of
customers and products
ENTERPRISE MOBILITY AND PDT DEVICES
Scan barcodes
Price Changes
Generate auto Purchase orders
Helps in maintaining a stock of inventory
Product Verification
Customer orders
Generate auto GRN (Goods receipt notes
Smart Malls : DIGITAL ASSETS AND MEDIA
USES
• Monitoring.
• Customer Trajectory.
•
•
•
•
HELPS US IN
Promotions.
Shelf allocation.
Shelf life cycle management.
Product positioning
SMART MALLS : SURVEY/LOYALTY
•
•
•
•
•
USES
Customer Mind map(GPOMS).
Customer Demographics.
Customer preference.
Buying pattern.
Customer feedback.
•
•
•
•
HELPS US IN
Promotions.
Effective category management.
Product assortment.
Personalized customer service.
Thank you