Mainframe users are continuously challenged to keep pace with rising data volumes from distributed applications that depend on mainframe transaction processing power. The pressure to squeeze more performance and value out of existing mainframes, while avoiding or deferring major upgrades, never stops. There are ways to improve the efficiency of core workloads, like sorting, that help you uncover additional capacity, save money, and increase the ROI for mainframe expenditures. In addition, you can deliver more value to your business by integrating mainframe data into next-generation cloud and data platforms like Databricks, Snowflake, Splunk, ServiceNow, and more. Watch this on-demand webcast to learn how to: • Optimize mainframe sorting to reduce costs • Easily and safely migrate from IMS to Db2 • Integrate mainframe data into modern analytic platforms

1. Optimize the Value
of Your Mainframe
with Solutions From
Precisely
Bill Hammond - Product Marketing Director

2. Today’s Topic
• Precisely overview
• Optimize the Value of Your
Mainframe with Solutions
• Management
• Integrating security and operational data
• Integrating enterprise data
• For more information
2

3. The global leader in data integrity
Trust your data. Build your possibilities.
Our data integrity software and data enrichment products
deliver accuracy and consistency to power confident
business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
90
Customers in more than
100
2,000
employees
customers
12,000
countries
3

4. Mainframes host the most critical applications
71%
Fortune 500
2.5 Billion
Transactions / day / per MF
Top World
Banks
92 of World’s
Top Insurers
10 of Top 25
US Retailers
23
4

5. Mainframes
deliver
increasing value
with each new
technology
wave
of executives say their
customer-facing applications
are completely or very reliant
on mainframe processing.
55%
•72%
increase in transaction
volume on mainframe
environments in 2019
$1.65 trillion
invested by enterprise IT
to support data warehouse &
analytics workloads over the past
decade
Forrester Consulting, 2019
Wikibon “10-Year Worldwide Enterprise IT Spending 2008-2017”
BMC, 2019
5

6. Hybrid Cloud
68%
of organizations said
disparate data
negatively impacted
their organization2
Streaming
92%
of firms agree they
need to increase
use of outside
data5
Location
47%
of newly created
data records have at
least one
critical error3
AI
54%
of enterprises
challenged by lack of
data location
intelligence4
of CEOs are concerned about the integrity
of the data they’re basing decisions on1
Sources: 1. Forbes, 2. Data Trends Survey 2019, 3. Harvard Business Review, 4. IDC, 5. Forrester
84%
Data integrity is the next business imperative
6

7. Precisely and Data Integrity
7

8. Data integrity is…
data with maximum
accuracy, consistency,
and context for confident
business decision-making
8

9. Driving better
decisions
9

10. Optimization Management
Integrating
security and
operational
data
Driving
Better
Decisions…
Integrating
legacy data
10

11. Optimization
11

12. Sort Optimization Challenges
Contain hardware and
software costs
Improve performance Meet/exceed SLAs to
support the business
12

13. Proven solution
Almost 50 years of continual
development and
enhancements
Performance
Improves sort performance
while optimizing overall
system efficiency
zIIP offload
Sort workloads can be
directed to the zIIP, thereby
lowering the CPU time and
costs
Encryption
Enhanced security and
compliance with regulations
such as GDPR
The high-performance
solution that delivers better
performance and
saves money
Syncsort MFX
13

14. 14
History of Product Innovation
14
Unique Capabilities of Syncsort MFX
Support Encryption of Basic/Large datasets*
Sort Performance for large datasets*
Encryption of Sortwork
zIIP Offload of Sort (Syncsort ZPSaver)
zHPF Exploitation
Create & E-Mail PDF, RTF, HTML Files
zIIP Exploitation
MIDAW Exploitation
PAV Exploitation
Direct DB2 Access
PARASORT
XSUM
PipeSort
Global DSM
SAS PROC SORT Replacement
Incremental DYNALLOC
MAXSORT
First to Deliver Syncsort MFX
JOIN Processing 2004
Horizontal Arithmetic on OUTREC 1999
Data Space Exploitation 1989
Variable/Fixed Conversion 1989
Multiple Output 1983
Report Writing 1983
IEBGENER Replacement 1979
INREC 1979
INCLUDE/OMIT, SUM, OUTREC 1977
COBOL Exits 1976
EXCPVR 1975
Syncsort MFX has a commitment to
innovation with over 50 years of consistent
product leadership

15. IMS to Db2 Migration Challenges
Minimize risk Lack of skills/resources Time to value
15

16. Minimize
Risk
Time and effort to complete
project is minimal,
compared with an
application rewrite
Information
Access
Make data securely
available across the entire
enterprise – consolidate to a
single RDBMS – Db2
Transparent
migration
Syncsort Optimize IMS is a
transparent data migration
solution, no application
changes required
Proven
solution
Has proven itself around the
world in a wide variety of
vertical industries
The smart approach to IMS
data migration, providing
low-risk and efficient
migration tools for businesses
wanting to eliminate IMS DB
and consolidate to Db2.
Syncsort
Optimize IMS
16

17. Management
17

18. Management Challenges
Difficult to get single
view across enterprise
Capacity incidents
impact business
Lack of time/resources Monitoring, security,
and performance
18

19. Single Solution
with 360◦ View
Covers multiple platforms and
everything from servers to storage
to networks for visibility into all
your performance and capacity
metrics
Replaces Manual
Processes
Interactive automated reporting
and flexible templates let you
quickly hone in on potential
problems – without spreadsheets
and manual processes
Prediction and
Alerting
See impact of potential
changes and set up monitors
to identify when and where
thresholds are exceeded
Brings metrics from across
your enterprise into one
place for a comprehensive,
real-time view of your
infrastructure.
Syncsort
Capacity
Management
Flexible
Deployment
Options
Deploy on-premises or in the
cloud. Management of the
solution in the cloud
available through Precisely
Services
19

20. Get Full
Visibility
Creates a comprehensive
picture of network activity in
real time helping you
anticipate problems and
recover services
Replace Legacy
Tools
Powerful automation for your
operational tasks saves you
money and offer a more cost-
effective solution than
competing products
Defend Network
Availability
Monitoring for early warnings
and exceptions that alert you
to potential problems in your
network
Increases your z/OS IP
network security and
efficiency with a package of
specialized components,
including network
monitoring, security, and
performance management.
Syncsort
Network
Management
Complete
Solution
Specialized components
provide monitoring, tracing,
reporting, security alerts, and
performance management
20

21. Integrating
security and
operational data
21

22. Data silos impact availability,
performance, services and security
Lack of data for
operational analytics
No single view of IT
infrastructure
Health and status of
systems is unknown
22

23. But… leading IT analytics & operations platforms
lack native Mainframe support
Distributed and
Cloud environments
Mainframe and
IBM i Systems
IBM Z
Platform
IBM i
23

24. Ironstream connects the mainframe to
Modern IT Analytics platforms
Mainframe
IBM i
360 degree
view across
the Enterprise
24

25. Complete
visibility
Get a comprehensive, real-
time view of your IT landscape
for better, faster decision-
making
Improved agility
Proactively identify, and quickly
resolve, security threats and
performance problems
Service
Availability
Avoid downtime, meet
demanding SLAs, and deliver
great customer and employee
experiences
Integrate mainframe and
IBM i systems into leading IT
analytics and operations
platforms for an enterprise-
wide view to support your
digital business
Ironstream
Cost savings
Eliminate manual processes
and inefficient tools, and
optimize your infrastructure
spend
2
5

26. Integrating
enterprise data
26

27. Implementing a modern data integration
framework isn’t easy
0
10
20
30
40
50
60
Real-time
CDC
Skills Governance Data
Accesibility
Budget Data Quality Legacy
%
of
People
Who
Consider
this
a
Top
Challenge
(Rated
1
or
2)
1. Real-time CDC: Keeping data up to date,
accessing and processing data in real-time
2. Skills/Staff: Shortage of skills and staff who
have an understanding across cloud and legacy
technologies
3. Data Accessibility: Making data accessible to
users across the business
4. Budget: Spending on maintenance and not
innovation
5. Data Quality: Poor data quality and lack of trust
in data
6. Legacy systems: Difficult to leverage data from
legacy systems (mainframes, EDWs, IBM i etc.)
with modern cloud platforms
7. Scalability: Ability to scale with and process
massive data volumes
Q. What are your top challenges when it comes to
implementing a modern data architecture?
27

28. Simplify
integration
Take a one solution approach
to integrate, prepare, load,
cleanse, transform and stream
data across clustered or cloud
frameworks
Data access
Integrate all enterprise data,
from mainframe and IBM i to
cloud, while keeping secure
integrations
Real-time
replication
Stream changes to data
instantly for use in
downstream applications,
data lakes and warehouses
Integrate data seamlessly
from legacy systems into
next-gen cloud and data
platforms with one solution
Connect
Future-proof
Quickly and easily add new
sources and targets. Deploy
in new environments with no
redevelopment required
28

29. Sources and targets include:
29
• Mainframe data: VSAM, IMS, COBOL copybooks, mainframe fixed and
sequential files
• RDBMS: Oracle, SQL Server, Db2 for z/OS, Db2 for i, Db2 for LUW, MySQL,
Sybase, PostgreSQL
• Semi-structured data: JSON, XML
• Enterprise data warehouses: Teradata, IBM Netezza, Vertica, Greenplum
• Cloud platforms: Amazon AWS, Microsoft Azure, Google Cloud Platform
• Cloud analytics: Azure Synapse Analytics, Cloudera, Databricks, Snowflake
• Big data: Hadoop, Hive, Impala, Apache Avro, Apache Parquet, Apache Spark
• Streaming platforms: Apache Kafka
• Flat files: Fixed length, variable length, delimited

30. Optimization Management
Integrating
security and
operational
data
Driving
Better
Decisions…
Integrating
legacy data
30

31. For More Information
31
• Contacts
Bill Hammond – Precisely – Product Marketing Director
bill.hammond@precisely.com
Denise Tabor – Precisely – Product Management Director
denise.tabor@precisely.com
• Precisely Website
www.precisely.com
• Precisely Resource Center
Browse our library of eBooks, white papers, videos and other
helpful resources
www.precisely.com/resource-center

32. Q & A