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Evolution of Analytics - Are You Ready? 2016 Lenovo . All rights reserved. Jonathan Wu SAP Forum Hong Kong July 26, 2016

Evolution of Analytics - Are You Ready?€¦ · 26/07/2016  · Evolution of Analytics - Are You Ready? 2016 Lenovo . ... SAP Forum Hong Kong July 26, 2016. 2. 3 "Over the next 25

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Page 1: Evolution of Analytics - Are You Ready?€¦ · 26/07/2016  · Evolution of Analytics - Are You Ready? 2016 Lenovo . ... SAP Forum Hong Kong July 26, 2016. 2. 3 "Over the next 25

Evolution of Analytics

- Are You Ready?

2016 Lenovo . All rights reserved.

Jonathan Wu

SAP Forum Hong Kong

July 26, 2016

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Page 3: Evolution of Analytics - Are You Ready?€¦ · 26/07/2016  · Evolution of Analytics - Are You Ready? 2016 Lenovo . ... SAP Forum Hong Kong July 26, 2016. 2. 3 "Over the next 25

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"Over the next 25 years, technology is going to be a critical component

of business, and not just traditional IT and fulfillment centers, but it's the

whole customer experience and personalization and tools that

companies can offer to help improve the customer experience....There

will be lots of changes, new businesses and businesses disrupting

existing business ... tremendous opportunity to work across borders. ...

It makes sense, given a global population, we're more connected now

than we've ever been. "

Tracy Britt CoolCEO, Pampered Chef

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Driving Trends - Business

Page 5: Evolution of Analytics - Are You Ready?€¦ · 26/07/2016  · Evolution of Analytics - Are You Ready? 2016 Lenovo . ... SAP Forum Hong Kong July 26, 2016. 2. 3 "Over the next 25

5wearesocial

Page 6: Evolution of Analytics - Are You Ready?€¦ · 26/07/2016  · Evolution of Analytics - Are You Ready? 2016 Lenovo . ... SAP Forum Hong Kong July 26, 2016. 2. 3 "Over the next 25

6wearesocial march 2015

APAC SOCIAL MEDIA USE

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Driving Trends - Technology

Cloud

Virtualization

IOT

Software Defined

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Early Days (~1960-2005)

Collection, aggregation & analysis primarily of production, sales, customer interactions data

Started with in house custom applications and later commercialized by vendors to provide enterprise data warehouse to query and report

Relatively small number of static data sets

Time on data prep > time to analyze

Business intelligence despite being slow was still viewed as a competitive advantage in the form of greater operational efficiency

Big Data (from ~2005)

Fueled by internet and social

networking companies who began

to collect and analyze new kinds of

information

Now includes data external to

enterprise from internet, sensors,

audio & video recordings, etc

Led to the creation of data products

such as LinkedIn’s “People You

May Know”, “People You May Be

Interested In”, etc

Speed became the essence of

competitive edge

New technologies created to meet

demand for speed - Hadoop &

NoSQL

The Next Era

Creation of more valuable products

and services on the basis of

information

Every firm in every industry moves

to customized, personalized

products & services

Examples:– Bosch Group’s fleet management,

vehicle charging infrastructure, etc

– Schneider Electric uses monitors to

manage service outages & allows

engineers to use visual analytics to

understand state of network;

– GE determines most effective

service intervals for jet engines

based on data streamed from

sensors

– Watson in Healthcare

Evolution of Analytics

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Impacts of Analytics

Even more data

Everything moves faster

Real time decision making

Remote mobile device management (MDM)

Increased device management complexity

Consumer "controlled" world

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Analytics increases requirements on the Datacenter

• Requirement for high availability

• Unpredictability of capacity

• Responsiveness to development requirements

• Complexity of managing operational costs

• Complexity of the IT infrastructure

• Rate of changes

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THE BIG PICTURE

“A traditional BI platform usually requires a lengthy, IT-led enterprise data warehouse

development effort as a prerequisite… However, the democratization of analytics… has

changed the paradigm of BI delivery… Users now prototype data models and test new

data sources in the context of existing data structures without needing IT staff.”

Technology Insight for Modern Business Intelligence and Analytics Platforms – Gartner 2015

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LEADERSHIP WITH SAP HANA

SAP HANA +

Lenovo System

X Momentum

Over 400TB of System x Systems in SAP HANA Enterprise Cloud

More than

5500 SAP HANAsystems shipped

Learn More: www.lenovo.com/sap/hana

Largest SAP HANA systemin the world:

100TB

SAP CRM and HR systems in production:

System x HANA systems

Investment protection:Add X6 to existing eX5 clustersCPU Upgrades thru 3 generations

WorldRecordPerformance:BW-EML and SAP SD 2-tier1

1 SAP Benchmark information posted on www.sap.com/bencmark Lenovo

benchmark information posted on http://www-

03.ibm.com/systems/x/resources/benchmarks/results/index.html

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Lenovo Converged HX Series for SAP Business SuiteSimplify SAP Application Infrastructure and Accelerate Time-to-Value

Simplicity Simplify IT Infrastructure through Lenovo

and Nutanix common vision which significant reduces

time and resources to maintain

Reduced Cost Reduce cost and accelerate time to

value with the combination of Lenovo x86 platform and

Nutanix software

Reliability Deliver greater reliability with Lenovo

servers and switches – coupled with ease of use and high

performance

Compute Heavy

Storage Heavy

High-Performance

Low Latency

Certified for

SAP Business Suite

Applications

www.lenovo.com/solutions/sap

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New SAP HANA Solutions

Real-time booth tracking

system powered by IoT, SAP

HANA and predictive

analytics

Monitor and predict booth

activity

360 view of the customer

Customer insights driven

through IOT

Applications across multiple

industries

End to end services to help

accelerate, migrate and

optimize SAP HANA

programs

Create an integrated Business

and IT roadmap

Develop TCO model for SAP

HANA investment

Optimize software sizing,

licensing and deployment

strategy

Drive engagements from proof

of value through migration and

optimization

New SAP S/4HANA bundles

and business risk monitoring

solution for cyber

applications

Accelerate adoption of SAP

S/4HANA

Provide visibility into business

risk from cyber threats

Enable organizations to

assess the risk associated with

excessive access and

segregation of duty threats

SAP HANA

Database

Predictive

Analytics

Lenovo Services

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Customer Examples

Faster information flow, faster reaction, better advantage of discounts, claims management and enhanced customer service 40 percent faster implementation

Increased reliability enables a minimum of 99% up-time and system availability in its SLA’s

45X improvement in reporting & 50X improvement in data load times86% reduction in database size

Increased business agility by reducing the time required for changes to data models from many hours to just minutes

Lower TCO with flexibility, scalability and dense scale-out configurations with the same equipment

Real-time data analysis to meet customer demand, infrastructure lifecycle management, accurate billing, higher customer satisfaction and new market penetration

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Worry Free Infrastructure

adaptable, dynamic scalability, continuous availability, integrated, non

proprietary

Choice of Application

scalable, speed, modular, off the shelf, mobility, platform free

High Security

Always available, relevant and very large quantities of self-service data

People and Organization

Getting Ready

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