take control of your business destiny with big...

PUBLIC

David Chaiken, CTO, SAP Cloud Platform Big Data Services

July 2017

Take Control of Your Business Destiny with Big Data

2© 2017 SAP Leonardo Live. All rights reserved. I PUBLIC

2015: Gartner drops “Big Data” from Hype Cycle for Emerging Technologies.

Why?


It’s now a necessity for doing business

“… big data has quickly moved over the

Peak of Inflated Expectations … and has

become prevalent in our lives across many

hype cycles.”

Betsy Burton

VP and Distinguished Analyst, Enterprise Architecture

Gartner


The Big Data and next-gen data management market is huge and growing.

$8,7

$22,1

0

5

10

15

20

25

2015 2020

US$, billions

Compound annual

growth rate:

20.5%


Scaling … to large-scale production

clusters involves a steep learning curve

in terms of operational know-how that

many enterprises are unprepared for.

But there are challenges.

Merv Adrian and Arun Chandrasekaran

“Market Guide for Hadoop Operations Providers”

Gartner, 2017


Some of these challenges are overcome with the move to the cloud,

so more enterprises are choosing cloud.

Source: Gartner survey, September 2015

On-premise only

32%

Hadoop deployment intentions

Cloud +

on-premise

29%Cloud only

23%

Hybrid +

cloud only

52%


But cloud addresses only part of the problem. What’s the secret to

high-impact Big Data?

Operations

Delivered

with tech,

not people


Big Data is complex.It gets more complicated as you scale.


Big Data as a service


How does all of this help

Big Data become central to

delivering value to your

business and customers?


How are companies using this? Typical progression of Big Data in an enterprise

Projections and

aggregations of

unstructured,

bulk data

ETL into existing

data warehouses,

data marts

Offline data

science

modeling

Spark, PySpark,

notebook server

like Jupyter

Interactive

queries in the

Big Data

environment

Using SAP Vora,

for example

Online search of

the full data set

Technical

innovation in

progress

1 2 3 4


Benefits of SAP Cloud

Platform Big Data Services

Greater client satisfaction due to

higher performance and reliability

More time to focus on analytics

instead of Hadoop operations

More-effective resource

allocation and cost management

Increased solution

competitiveness

Challenges due to

inefficiencies of previous

platform

Job processing taking too long

Poor service reliability

Product development

hampered

Service costs driven up

Number of customers limited

MarketShare DecisionCloud

Attribution analysis: measure,

predict, and improve the impact

of marketing on revenue

Customers: brand-name retail,

finance, hospitality, pharma,

auto, and tech companies

Massive, rapidly changing

advertising data stored and

analyzed in Hadoop

MarketShare case study

50% Lower cost

10xPerformance

2.5Petabytes


10x faster job completion


Built for performance


Objective

Extend product to a greater number of customers

Support analysis of more granular data and larger set of

visualizations

Add new features and greater interactivity over time

Challenges with previous data infrastructure

Cost-prohibitive to scale proprietary software

Inability to drill down into data

Limited visualizations available

Poor support from vendor

SAP Cloud Platform Big Data Services benefits

Significant cost savings

Product objectives met

– Flexibility to analyze granular data

– Extensibility with best-of-breed visualization solutions

Focus on customer success

– Fully operated Big Data platform, dedicated TAM

Financial services case study: Merchant analytics


Financial services case study

SQL query pipeline ran more than 30x faster than

expected with SAP Cloud Platform Big Data Services

SAP Cloud PlatformBig Data Services


Global payments solutions provider

Largest global footprint

6 million merchants and 4,000 financial institutions

45% of all credit and debit transactions in the United States

Fraud detection product

Sold to online merchants, targeting fraud in e-commerce

Time-to-market critical

Challenges with previous data infrastructure

Inability to support project timeline

Inability to scale on-premise Hadoop

– Currently at capacity

– Inelastic, takes months to grow the environment

Lack of confidence in current on-premise environment to

support fraud product

SAP Cloud Platform Big Data Services benefits

Fast time to value

Ability to grow storage and compute on demand with

elastic customer environments

High level of confidence that project will be successful

– Fully managed, enterprise-grade platform

– Suitable for business-critical workloads

– Previous positive experience with Big Data services

Financial services case study: Fraud detection


How did SAP and Big Data help a financial services company control its

destiny?

Company now owns its

business logic and

customer relationships –

eliminated reliance on

expensive consulting firm.

Reduced the operational

burden and TCO while

increasing scalability and

flexibility.

Eliminated the need for

expensive on-premise

hardware that cost about

$10 million

David Chaiken

CTO, SAP Cloud Platform Big Data Services

E-mail: [email protected]

Twitter: @HadoopSherpa

Thank you.

mailto:[email protected]

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