Ayushi Infotech Big Data Initiative

1. BIG DATAA treasure in your hand
Ayushi Infotech
“Innovation is the whim of an
elite before it becomes a need
of the public”
- Ludwig Van Beethaven

2. Ayushi BI solutions provides collaboration platform to integrate
disparate data sources into a single coherent framework for real-
time reporting.
Our Business Intelligence (BI) framework completely defines the
functions of all BI initiatives it need to address and effective & fully
aligned sophisticated system.
A brief introduction
Experience Our expertise GoalAbout us

3. • Years Industrial Experience in manufacturing,
enterprise solution and big data analytics
• years running Software development company,
focused on enterprise solution and big data analytics
20
8
A brief introduction
Experience Our expertise GoalAbout us

4. Domains with expertise are,
Automotive
Retail
Logistics
FMCG
Health care
A brief introduction
Experience Our expertise GoalAbout us

5. To the large extent, it has proven to have great benefit for organization across globe
A brief introduction
Our ultimate goal is –
- Help customer to use the data for different
predictive decision making”
“
”
Experience Our expertise GoalAbout us

6. …???

7. BIG
DATA?
A treasure in your hand

8. Big data analyticscombines
ERP
CRM
BI
To design
predictive
model
Web
browsing
pattern
Social
media
sentiment
Movie
releases
Advertising
buys

9. Here are some interesting facts about
BIG DATA
Stacking a pile of CD-ROMs
on top of one another until you’d
reached the current global storage
capacity for digital information would
stretch
80,000 km beyond the moon
The volume of data created by U.S.
companies alone each year is enough
to fill 10,000
Libraries of Congress
There are nearly as many pieces of
digital information as there are stars
in the universe

10. Case study
More…
Automobile
Smart is...
we use the data to determine
the scope, to prioritize and scale
our response. It helps us make
sure that we’re focusing on the
things that are most likely to
affect the customer experience
Retail
Smart is...
Leveraging information across
the enterprise to understand
consumer buying patterns and
needs
Logistics
Smart is...
Collecting and analyzing data
from commercial vehicles’
onboard systems to reduce
operating costs, optimize
journey planning and simplify
driver performance
Management.

11. Daimler Fleet Board
makes commercial vehicles more economical
At the moment, Daimler
FleetBoard offers services in
three essential areas:
Vehicle management,
which supports more
economical and reliable
operations
Transport management,
which increases efficiency in
logistics processes
Time management, which
helps to monitor drivers’
performance.
They provides
actionable
reports that
summarize the
most important
information like
 maintenance planning
information
 ranking of the most
economically efficient drivers
and vehicles
 giving suggestions for the
optimization of vehicle
efficiency
Opportunity
Solution
Benefits
Case : 1
Introduction

12. Daimler Fleet Board
makes commercial vehicles more economical
OPPORTUNITIES
To help logistics companies
optimise their operations,
Daimler FleetBoard wanted
to link data from customers’
vehicles with their business
applications. The company
needed to be able to scan,
transmit and integrate data
on each vehicle’s status and
position in real time, while
the vehicles were on the
road.
According to internal
calculations, the complete
FleetBoard service offering
can save customers
approximately €9,100 per
vehicle per year
Opportunity
Solution
Benefits
Case : 1
Introduction

13. Daimler Fleet Board
makes commercial vehicles more economical
SOLUTION
Daimler FleetBoard
implemented a
comprehensive telematics
system to optimize its
customers’ use of vehicles,
journey planning and time
management.
The onboard computer
installed in all its
commercial vehicles regularly
transmits data between the
vehicle and the telematics
centre. The customers of
Daimler FleetBoard access
their data, reports and
analyses via the Internet to
simplify decision-making and
receive suggestions for
possible optimization
Opportunity
Solution
Benefits
Case : 1
Introduction

14. Daimler Fleet Board
makes commercial vehicles more economical
BUSINESS BENEFIT
Reduces fuel consumption by
5 -10% by analyzing driving
techniques and re-educating
drivers.
Avoids downtime and extends
maintenance intervals by
constantly analyzing
maintenance data and
prompting preventive
maintenance and repair
measures.
Increases the flexibility and
improves the decision-making of
the logistics companies by
linking the dispatch data to the
actual status data across
multiple systems.
Optimizes the haulage business
through dynamic route planning
based on real-time monitoring of
vehicles’ positions.
Makes it easier for companies
to comply with applicable laws
governing driving times and rest
periods for their drivers.
Opportunity
Solution
Benefits
Case : 1
Introduction

15. Case study
Logistics
Smart is...
Collecting and analyzing data
from commercial vehicles’
onboard systems to reduce
operating costs, optimize
journey planning and simplify
driver performance
Management.
Automobile
Smart is...
we use the data to determine
the scope, to prioritize and scale
our response. It helps us make
sure that we’re focusing on the
things that are most likely to
affect the customer experience
Retail
Smart is...
Leveraging information
across the enterprise to
understand consumer
buying patterns and needs

16. Volvo
A car company powered by data
INTRODUCTION
At Volvo car corporation, a
system from data
warehousing company
Teradata integrates product
configuration, warranty and
vehicle diagnostic data to
support technical and
business analysis throughout
the product lifecycle.
Volvo has a goal in place that,
by 2020, no one will be killed
or injured in a Volvo car.
Systematic use of operating
data from vehicles in the field
to improve the quality and
performance of those in
production and design.
DTC
Big data
Business
indicator
Case : 2
Introduction

17. Volvo
A car company powered by data
DTC
In today’s cars, sensors and
onboard computers perform
a wide range of control,
monitoring and diagnostic
functions in from the engine to
the braking to the CC and
beyond. Each of these systems
generates a diagnostic trouble
code (DTC) when it detects some
sort of fault.
DTC stored in the engine control
units (ECU) until the vehicle goes
to a dealership for maintenance.
At a Volvo dealership, the codes
are read and then uploaded to a
central for global reference on all
failures.
Volvo equips its vehicles with a
variety of data loggers to record a
wide range of variable
measurements. These include
wear factors like catalyst
deterioration, and operating
parameters such as engine speed
and load. Volvo has extended its
systems to collect nearly 400
discrete measurements against
industry standard of 20
Case : 2
DTC
Big data
Business
indicator
Introduction

18. Volvo
A car company powered by data
BIG DATA
Each vehicle generates 100-150
kB of interpreted data per year.
Volvo analysts began seeking an
integrated data warehouse
solution, with performance their
primary search criteria.
The Volvo Cars Data Warehouse
brings together data from four
primary sources:
i. a system for managing
vehicle and hardware
specifications,
ii. one for managing on-board
software specifications,
iii. the system that collects
vehicle diagnostic data from
service centres worldwide,
iv. the warranty claims system.
The new warehouse
immediately increased the raw
data available to Volvo analysts
from 364 gigabytes to 1.7
terabytes, and dramatically
improved query response times.
Case : 2
DTC
Big data
Business
indicator
Introduction

19. Volvo
A car company powered by data
BUSINESS INDICATOR
Daily fleet mileage calculation
from 2 Hrs to 5 min
 A comprehensive report of
diagnostic failure codes by model
and year was from 2 weeks to
15 min
 Performance constraints -
restricted access to a handful of
users, the new system extended
access to more than 300 from
different function
Previous data mart had
struggled to process a single
query an hour, the new platform
completed in 1 min
 Immediate cost reduction
impact and value return
 Operating costs were also
reduced by eliminating three
single-purpose data marts, and
the return on initial project costs
amounted to 135%
Case : 2
DTC
Big data
Business
indicator
Introduction

20. Case study
Logistics
Smart is...
Collecting and analyzing data
from commercial vehicles’
onboard systems to reduce
operating costs, optimize
journey planning and simplify
driver performance
Management.
Automobile
Smart is...
we use the data to determine
the scope, to prioritize and scale
our response. It helps us make
sure that we’re focusing on the
things that are most likely to
affect the customer experience
Retail
Smart is...
Leveraging information
across the enterprise to
understand consumer
buying patterns and needs

21. Automercados Plaza
revenue by 30% with greater insight into operation
Case : 3
INTRODUCTION
Automercados Plaza’s, a
family-owned chain of
grocery stores in Venezuela,
was tracking information
related to pricing, inventory,
sales, distribution and
merchandizing in different
systems.
Opportunity
Solution
Benefits
Introduction

22. Automercados Plaza
revenue by 30% with greater insight into operation
Case : 3
OPPORTUNITIES
“We had a big mess related
to pricing, inventory, sales,
distribution and
merchandizing,” says Jesus
Romero, CIO, Automercados
Plaza’s. “We have nearly
US$20 million in inventory
and we tracked related
information in different
systems and compiled it
manually. We needed an
integrated view to
understand exactly what we
have.”
Opportunity
Solution
Benefits
Introduction

23. Automercados Plaza
revenue by 30% with greater insight into operation
Case : 3
SOLUTION
By integrating information
across all divisions and
functions, executives at
Automercados Plaza’s were
able to gain better insight
into how its customers
shopped, customer buying
patterns—critical knowledge
that helped them increase
revenue by 30 percent and
improve profits by US$7
million annually. Now, staff
can see which products and
promotions are most
profitable to improve
contract negotiations with
suppliers and identify which
items to place on sale each
week. Company staff also
has concrete information to
help guide the placement of
new stores, enabling the
company to successfully
grow its business
Opportunity
Solution
Benefits
Introduction

24. Automercados Plaza
revenue by 30% with greater insight into operation
Case : 3
BUSINESS BENEFIT
Increased revenue by 30%
Achieved a US$7 million
increase in annual
profitability
Prevented losses for 35% of
its products
Helped executives pinpoint
the optimal locations for four
new grocery stores, including
new ‘supercenters
Opportunity
Solution
Benefits
Introduction

25. What we do?
Analyze
Structured data
+
Unstructured data
Visualization &
discovery
Understanding
Customer pain area
Predictive model
Data warehouse
BI
CRM

26. Domain
Expertise
Business
understanding
Technology
Expertise
Ayushi Infotech
Big data needs

27. Some of potential opportunities for you…
Better understanding of customer needs and wants
Dealership performance
Localized campaign or offer
Spare part management/ warranty
Product performance
Service quality
Cost optimization
Overall cost of ownership for customer
CSI
Customer relationship
New product/service development to market cycle time
Unlock hidden opportunity

28. Let
your data
work for
you
According to McKinsey,
“A retailer using big data to the full could
increase its operating margin by more than 60% ”

29. For more information
please contact
Ajeet
at
Mo: 9841397570
Email: ajeet@ayushiinfotech.com
shobana@ayushiinfotech.com
Skype id: ayushi.infotech1