Achieve the Agility Demanded by Real-Time Business

1. Modern Data Management
Achieve the Agility Demanded by Real-Time Business

2. Ready to Con-trol
Your Rapidly
Growing Data?
Most companies have invested immense amounts of
resources into controlling the growth of their data. Yet many
are finding that the sheer amount of information is far too
extensive to manage in real time. It’s also grown increasingly
expensive to maintain, while being too slow to be a reliable
resource for insights.
Data challenges are growing significantly, forcing enterprises
to rethink their data management strategy.
Data for critical applications is
estimated to grow 50% annually.1
1Forrester Consulting study commissioned by SAP, “The Next Era of Data Architecture: Developing
a Smart Data Management Strategy,” June 2014
2

3. Traditional Data
Management Is
Inadequate
Application, business intelligence, Big Data, cloud, mobile
stacks: These are just some of the technology stacks that
organizations have built, intended to improve business
outcomes. But now they often fail to meet growing
business requirements, causing organizations to run the
risk of becoming fractured, broken, and lagging behind the
competition.
BI Stack
Big Data
Stack
App Stack
CRM Stack IOT Stack
ERP Stack
Source: Forrester Consulting study commissioned by SAP, “The Next Era of Data Architecture:
Developing a Smart Data Management Strategy,” June 2014
3

4. Siloed Stacks
Slow Your
Company Down
Siloed stacks are unable to scale to support growing data
volume and workloads, while simultaneously requiring
significant resources to manage them, increasing IT cost,
complexity, and security risks.
Key data challenges that are driving the need to review
current data architectures:
• Siloed technology stacks have become complex and slow.
• Real-time data delivery is turning out to be a challenge.
• Next-generation apps are driving the need for faster data
access.
• Self-service data platform requirements are growing rapidly.
4

5. Renewing and
Rebuilding
Resources
Gearing up to make more data available in real time, many
enterprises have started to support next-generation apps,
analytics, and predictive analytics – the technology heart of
today’s forward-thinking enterprises.
According to IDC: 2
46% of organizations have started using new analytic techniques
41% have begun using new metrics
27% have started using new data types
Only 18% of companies have done none of the above
46%
41%
27%
18%
Analytic Techniques
New Metrics
New Data Types
None of the Above
2IDC, “Driving Business Innovation with a New Generation of Real-Time Applications,” March 2014
5

6. Future Data
Access Free of
Latency and
Gridlocks
More and more organizations are focusing on building a
self-service data platform that reduces IT involvement while
increasing agility, automation, and faster data access.
This end-to-end platform lowers IT costs by collapsing and
consolidating existing stacks, while refining and improving
data storage, processing, and overall access for business
users and employees.
BI Stack
Big Data
Stack
Common
Stack
CRM Stack IOT Stack
ERP Stack
Source: Forrester Consulting study commissioned by SAP, “The Next Era of Data Architecture:
Developing a Smart Data Management Strategy,” June 2014
6

7. The Next Era of
Architecture
Evolving technological systems, lower hardware costs, and
innovation enable companies to consolidate and collapse
their technology stacks, which creates a comprehensive, end-to-
end, real-time data management architecture.
These advances include:
• Distributed in-memory fabric
• Data virtualization
• Big Data solutions
• Data governance
• Data streams and replication
7

8. Real-Time
Results
In our hyperconnected world, speed is more critical than
ever before. The digitalized landscape provides remarkable
opportunities as well as demands. In every industry, the
enterprises that succeed and stay ahead are those that can
truly harness the power of data to identify opportunities,
make quick decisions, and gain competitive advantage.
8

9. Discover Your
Integrated
Solution
Seek solutions that can collapse and consolidate
technology stacks and integrate your data with an end-to-
end data architecture to support your business data
and applications in an agile and scalable approach.
Read the Forrester Consulting study commissioned by
SAP, “The Next Era of Data Architecture: Developing a
Smart Data Management Strategy,” and get access to
comprehensive resources and reports for the latest trends
and best practices.
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