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Journey to the
Cloud with
Precisely
John de Saint Phalle | Senior Product Manager
“85% of organizations
will embrace a cloud-first
principle by 2025”
- Gartner
“55% of leaders cite data
modernization as the reason
for their shift to cloud”
- Deloitte
“Approximately $100
billion of wasted
migration spend is expected over the
next three years”
- McKinsey & Company
So despite the excitement around getting to
the cloud, organizations need to be careful…
47%
of newly created data
records have at least
one critical error
68%
of organizations say disparate
data negatively impacts their
organization
84%
of CEOs say that they
are concerned about the
integrity of the data they are
making decisions on
Data Trends Survey 2019 Forbes
HBR
Data integrity is a business
imperative
You need
data integrity…
data with maximum
accuracy, consistency,
and context for
confident business
decision-making
Precisely's
solution
for all
your
business
demands
Consistenc
y
Accuracy Context
Data
Integrat
ion
Data
Observabilit
y
Data
Quality
Geo
Addressi
ng
Spatial
Analytic
s
Data
Governance
Data
Enrichme
nt
Data Integrity Foundation
Data
Integration
Break down data silos
by quickly building
modern data pipelines
that drive innovation
AAA Life
Insurance SOLUTION
• With over 1,500,000 active policies, customers
have relied on AAA Life to help provide financial
protection for those they care about for
decades.
• The company understood that modernizing
every aspect of its business operations,
especially core IT systems, was key to providing
the innovative applications and services
expected by its consumers, partners, and
internal team members.
• IBM i data is available for in real-time
• Future-proofing the architecture so that AAA Life
can implement new targets and data use cases
seamlessly
• Maximizing the investment in IBM i while
continuing to innovate and deliver new
functionality
• Eliminate need for IBM i specialized skills
• Connect for DB2 to AWS
OBJECTIVE
• Policy processing and customer analytics hindered
by reliance on multiple disparate computing
platforms and applications
• Cloud modernization initiative required extensive
integration of existing applications and data flows
• Dependent upon core business applications and
data on IBM i servers and storage systems
• Transforming, validating, and migrating extensive
volumes of historical customer and financial data
for use in cloud computing systems
CHALLENGES
BENEFITS
Questions?
Thank you

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Journey to the Cloud with Precisely

  • 1. Journey to the Cloud with Precisely John de Saint Phalle | Senior Product Manager
  • 2. “85% of organizations will embrace a cloud-first principle by 2025” - Gartner “55% of leaders cite data modernization as the reason for their shift to cloud” - Deloitte “Approximately $100 billion of wasted migration spend is expected over the next three years” - McKinsey & Company So despite the excitement around getting to the cloud, organizations need to be careful…
  • 3. 47% of newly created data records have at least one critical error 68% of organizations say disparate data negatively impacts their organization 84% of CEOs say that they are concerned about the integrity of the data they are making decisions on Data Trends Survey 2019 Forbes HBR Data integrity is a business imperative
  • 4. You need data integrity… data with maximum accuracy, consistency, and context for confident business decision-making
  • 6. Data Integration Break down data silos by quickly building modern data pipelines that drive innovation
  • 7. AAA Life Insurance SOLUTION • With over 1,500,000 active policies, customers have relied on AAA Life to help provide financial protection for those they care about for decades. • The company understood that modernizing every aspect of its business operations, especially core IT systems, was key to providing the innovative applications and services expected by its consumers, partners, and internal team members. • IBM i data is available for in real-time • Future-proofing the architecture so that AAA Life can implement new targets and data use cases seamlessly • Maximizing the investment in IBM i while continuing to innovate and deliver new functionality • Eliminate need for IBM i specialized skills • Connect for DB2 to AWS OBJECTIVE • Policy processing and customer analytics hindered by reliance on multiple disparate computing platforms and applications • Cloud modernization initiative required extensive integration of existing applications and data flows • Dependent upon core business applications and data on IBM i servers and storage systems • Transforming, validating, and migrating extensive volumes of historical customer and financial data for use in cloud computing systems CHALLENGES BENEFITS

Editor's Notes

  1. Research shows that: 85% of organizations will embrace a cloud-first principle by 2025 55% of leaders site data modernization as the reason for their shift to cloud Approximately $100 billion of wasted migration spend is expected over the next three years So despite the excitement around getting to the cloud, organizations need to be careful…
  2. Because moving to cloud comes with a heavy cost if not done strategically. McKinsey & Company recently conducted a study that shows that: Over 75% of cloud migration projects are overbudget 37% is spent on systems integrators since they do not have the cloud skills in house to manage these projects 15% on decommissioning costs for other platforms 38% of cloud migration projects run behind schedule Companies are looking to staff 50% of their cloud talent in house so they do not need to rely as heavily on third parties (If you are interested in learning more about this topic, all of this data came from this McKinsey Study https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/cloud-migration-opportunity-business-value-grows-but-missteps-abound)
  3. And you can certainly find any number of articles and surveys in the press, or analyst reports, that dig into this issue of data integrity. Here you see just a few stats from Forbes, the Harvard Business Review, and Precisely’s own Data Trends Survey. When two-thirds of organizations say siloed data negatively impacts their data initiatives and almost half of newly created data records have at least one critical error, it is no wonder that 84% of CEOs doubt the integrity of the data on which they make decisions!
  4. And that’s why we at Precisely are focused on delivering data integrity in a new and different way. There has been no consistent definition of data integrity that the market all uses, and the definitions out there often focused on collections of technical capabilities related to data quality. But that is not good enough. Today’s businesses need a definition of data integrity based on their need for data that is not just accurate and consistent, but is also rich in context. And that’s why Precisely has redefined data integrity as data with maximum accuracy, consistency, and context for confident business decision-making. A critical aspect of data integrity is data availability and in order to have that, businesses need to be able to integrate all of their mission-critical systems.
  5. For a cloud-native solution that addresses all your business demands we have the Data Integrity Suite. The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed. The seven modules of the Data Integrity Suite are built on proven Precisely technology. Not only do the Suite’s modules work seamlessly together, they also work alongside the portfolio of Precisely products, enabling you to easily adopt Suite capabilities for new use cases whenever you choose All elements sit on a common foundation that’s modular, interoperable, intelligent, and business friendly. The foundation provides a range of services, including a metadata management engine that shares data between the modules and third-party programs to deliver incremental value.
  6. The first module is Data Integration. Typically, in any major data initiative, you first need to connect to sources, and sometimes move or replicate data to another environment. With Data Integration, you can easily create streaming data pipelines that integrate data from core environments such as relational, and of course, mainframe and IBM I, with modern cloud-based data platforms like Snowflake to drive analytics and innovation and extend the value of your mission-critical systems. We understand that pipelines must scale for your needs today and extend for tomorrow.
  7. There are two flavors of our integration solutions The first is enterprise grade end-to-end ETL solution that runs on single servers and provides high-performance, lightweight batch data processing for distributed platforms Precisely also has a data replication via CDC solution that supports cloud and hybrid architectures. This provides real-time data replication to streaming platforms, cloud, databases and data warehouses