big data

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

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Page 1: Big data

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

Page 2: Big data

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

Page 3: Big data

• 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

Page 4: Big data

Domains with expertise are,

Automotive

Retail

Logistics

FMCG

Health care

A brief introduction

Experience Our expertise GoalAbout us

Page 5: Big data

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

Page 6: Big data

How do I better

predict future

outcome???

What’s the social sentiment for my brand???

How do I optimize my fleet based on

weather and traffic pattern???

…???

Page 7: Big data

BIG DATA?

A treasure in your hand

Page 8: Big data

Big data analytics combines

ERP

CRM

BI

To design predictive

model

Web browsing pattern

Social media

sentiment

Movie releases

Advertising buys

Page 9: Big data

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 10,000Libraries of Congress

There are nearly as many pieces of digital information as there are stars

in the universe

Page 10: Big data

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.

Page 11: Big data

Daimler Fleet Boardmakes commercial vehicles more economical

At the moment, Daimler FleetBoard offers services in three essential areas:

Vehicle management, which supports more economical and reliable operationsTransport management, which increases efficiency in logistics processesTime 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

Page 12: Big data

Daimler Fleet Boardmakes 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

Page 13: Big data

Daimler Fleet Boardmakes 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

Page 14: Big data

Daimler Fleet Boardmakes 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

Page 15: Big data

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

Page 16: Big data

VolvoA 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

Page 17: Big data

VolvoA 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

Page 18: Big data

VolvoA 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

Page 19: Big data

VolvoA 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

Page 20: Big data

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

Page 21: Big data

Automercados Plazarevenue 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

Page 22: Big data

Automercados Plazarevenue 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

Page 23: Big data

Automercados Plazarevenue 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

Page 24: Big data

Automercados Plazarevenue by 30% with greater insight into operation

Case : 3

BUSINESS BENEFIT

Increased revenue by 30%Achieved a US$7 million increase in annual profitabilityPrevented losses for 35% of its productsHelped executives pinpoint the optimal locations for four new grocery stores, including new ‘supercenters

Opportunity

Solution

Benefits

Introduction

Page 25: Big data

What we do?

AnalyzeStructured data

+Unstructured data

Visualization &discovery

Understanding Customer pain area

Predictive model

Data warehouse

BI

CRMERP

Page 26: Big data

DomainExpertise

Businessunderstandin

g

TechnologyExpertise

Ayushi Infotech

Big data needs

Page 27: Big data

Some of potential opportunities for you…

Better understanding of customer needs and wantsDealership performanceLocalized campaign or offerSpare part management/ warrantyProduct performanceService qualityCost optimizationOverall cost of ownership for customerCSICustomer relationshipNew product/service development to market cycle timeUnlock hidden opportunity

Page 28: Big data

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% ”

Page 29: Big data

For more informationplease contact

Ajeet at

Mo: 9841397570Email: [email protected]

[email protected] id: ayushi.infotech1