In today’s environment it can be difficult for organizations to keep up with customer expectations. So often they try to innovate and deliver the best products while also modernizing legacy applications. Executives are pushing to bring all of these legacy applications to the cloud, but without the proper planning and execution this can become an expensive, time-consuming project.
Join this session to learn how to effectively move your data to the cloud with data that you can trust.
Azure Monitor & Application Insight to monitor Infrastructure & Application
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
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
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…
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)
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!
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.
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.
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.
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