IMPACT OF BIG DATA ON

DATA CENTRE INFRASTRUCTURE MANAGEMENT

“BIG DATA is a term that describes the large volume of data–both structured and unstructured–that inundates a business on a day-

to-day basis.” -Reference: SAS Insight

The volume of Big Data captured on a daily basis too large to be captured and stored on traditional storage systems.

The right usage of Big Data allows the business organization to identify the trends and pattern for faster, better decision making,

perform risk analysis, identify new revenue streams, reducing operation cost of organization, and development of new product and

services .

Big Data2

Market Size = USD Billion

CAGR% (2014-2019) = 23.1%

CURRENT MARKET SCENARIO

2014

2019

Big Data Market

• Ongoing digital

transformation

• Increasing number of

mobile devices

• High growth IoT

market

USD 17.3

Bn

Big Data MarketUSD 48.6

Bn

Sources: 1 Gartner, Gartner’s Top Predictions for IT Organizations and Users, 2012 and Beyond November 20112 IDC, Worldwide Big Data Technology and Services Forecast, 2015–2019

85%Of fortune 500 organizations will fall to effectively

exploit

Big Data for competitive

advantage.

72% of survey respondents cited improvising

in business operation s well as primary business driver

for their big data projects.

52% are looking to increase business agility

52% Introducing new product. service

By 2015 1

“BIG DATA – A digital transformation era”

Analytics is an encompassing and multidimensional field that uses mathematics, statistics, predictive modeling and machine-

learning techniques to find meaningful patterns and knowledge in recorded data. - Reference: SAS Insight

“ANALYTICS– Transforming raw data into an actionable

insight”

Analytics

Data Storage Capacity

Computing Power

New Methods &

Tools

Business Usage

Data Growth

Analytics Five Forces Landscape

Top Analytics Trend• Unstructured data unleashing new business values

• Speech and Voice Analytics

• Big Data and Internet of Things (IoT) Analytics

• Analytics tools grow at rapid pace

• New visualization tools find there place in market

• Full-pipeline Analytics Automation is getting popular

• New Decision System gaining demand

Sources: 1 Gartner, Gartner Says Advanced Analytics Is a Top Business Priority

Typ

es

of

An

alyt

ics

Cap

abili

tie

s1

“Big Data Analytics to sharpen risk assessment and identify new revenue streams for BFSI

sector”- According to The Financial Brand (2014),BFSI sector are striving hard to profit from the huge data deluge and banks only use a

small portion of the data to generate meaningful insights.

- As big data grows within BFSI sector, two primary types of data are taking the center stage: on-grid and off-grid.

- BFSI sector is looking at Big Data with potential opportunity for pulling insights on daily transactions, customer service record,

location data, click stream, and market feeds.

- This is giving the BFSI sector an advantage of to draw a new business models and services and frame go-to-market strategy.

- The future prospect of Big Data for BFSI sector is into personal services, loan decision support, improved customer loyalty,

customer retention, optimize return of equity, combat fraud and mitigate operational risk, and identification of new revenue stream.

Factors driving BFSI interest in Big Data Analytics

- Identifying correlation between data gathered from multiple touch

points

- Predictive customer behaviour

- Mitigation fraud and operational risk analysis

- Analysis of social network for consumer sentiment

- Cyber security

Most popular analytical solution in BFSI

sector

- Consumer behaviour and marketing analytics

- Risk , fraud and ALM/KYC analytics

- Advanced portfolio analytics

References: Everest Research Group, "Analytics in Banking”, 2014BSpot Consulting, “Let’s make money from Big Data”,2014CIO.com, “Big Data Making Big Impact in Banking?”, 2015“Leverage of Big Data Analytics for Banking Sector”, Dr. A.V. Nikam and Dr. S.D. Bhoite, 2015

Data Center Infrastructure Management (DCIM) tools monitor, measure, manage and/or control data center utilization and energy

consumption of all IT-related equipment (such as servers, storage and network switches) and facility infrastructure components (such

as power distribution units [PDUs] and computer room air conditioners [CRACs]).

-Gartner IT Glossary

Data Center Infrastructure Management Market

-IDC, DCIM Market Forecast, 2014-

2019

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

0

250

500

750

1000

2014 2015 2016 2017 2018 2019

Y-O

-Y (

%)

Mar

ket

Size

(U

SD M

illio

n)

DCIM Software DCIM Services Y-o-Y

Low-Level Data Collection

Datacenter Assets, Capacity Management

Data Monitoring

Cooling Optimization & Environmental Management

Core DCMI Platform

DCIM Software View

By 2017, in NA 60% DC would have DCIM solutions deployed

Market is expected to grow at a CAGR of 15.8%(2014– 2019)

North America holds the largest market share during overall forecast

Asia Pacific is the fastest growing region in the global DCIM market

Potential saving on CAPEX and OPEX for larger data centres

DC

IM M

arke

t K

ey F

ind

ings

References: 415 Research Market Monitor, Datacenter Management Software: DCIM and DCSO, 2015

Impact of Big Data on DCIM market

- According to Gartner, IoT would include 26 billion unit devices installed by 2020.

- This huge deployment of devices would generate large quantity of data which would require real time processing

analysis.

- Hence processing such huge data deluge would increase workload on data centres, raising new challenges

such as capacity, security and analytics.

- This would eventually raise the need of proactive solution for managing the data center infrastructure facility.

- Additionally, with increasing workload capacity the challenge of reducing CAPEX and OPEX of data center

would be the top priority of IT and facility managers.

- This is where the DCIM tool helps managing the capacity, delivery, consumption, and energy across a data

center.

- Gaining control over the infrastructure environment using the Big Data generated by the infrastructure leads to

an optimized data center with improved system accessibility and energy efficiency.

- In near future, DCIM is likely to get merge with the cloud infrastructure management.

- Hence, the infrastructure related Big Data would be a true game changer for the data center providers.

QUESTION

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