Workday users who want to learn how to use the reporting and analysis functionality of Workday Prism Analytics. Is anyone considering taking the Workday Certified Expert - Prism Analytics Exam? The Workday Prism Analytics Training course is designed for students who are already familiar with Workday and want to learn how to use the reporting and analysis functionality of Workday Prism Analytics.
2. Workday Prism
Analytics
Challenges
They are relied upon by executives, managers,
and decision-makers throughout the company
more than financial and HR information to
make decisions. They need data from their
CRM, vendor management, LMS, engagement,
or industry-specific systems to get a complete
picture of business performance. Workday
Prism Analytics enables a timely, reliable, and
unique view by bringing all this data,
integration, and management capabilities
within Workday.
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Complete overview of
performance
3. When it comes to analytics, business analysts
struggle to Access the data they need to
generate insights quickly. Analysts get a
particular set of business data with Workday
Prism Analytics that they can prepare, combine
and analyze with point-and-click functionality.
Thanks to the powerful auditability and
functionality of the data feed integrated into
the platform, users can effectively manage and
edit data for reporting, analysis, and planning
purposes without coding or additional licenses.
They can then share their knowledge with
colleagues and managers who need it.
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Accelerated
Preview Time
4. IT teams are wearing themselves out trying to
service business analytics demands, spinning in the
shadows of Access, maintaining different security
models, and undergoing tedious and costly extensive
data infrastructure deployment. Workday Prism
Analytics enables IT teams, to set up security once
with flexible management that adapts and meets
business needs.
And because Workday Prism Analytics is entirely
cloud-based, we make it challenging to maintain and
update its software. It allows IT, teams to deploy
faster while still achieving performance and the
scalability of Hadoop, Spark, and the latest storage
and processing technologies.
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IT Agility and
Efficiency
5. Key Properties With prism analytics, you can bring
data from any source via API, SFTP, or
browser file upload. You can access
financial and HR transactional data
from Workday by effortlessly
searching, discovering, and managing
datasets in a single data catalog and
schedule automatic updates to keep
your data in sync and up-to-date.
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Data Integration and
Management
6. Workday Prism Analytics' intuitive
user interface makes it easy to
develop and maintain data
transformation pipelines, plus you
can also apply to any dataset to join,
group, and filter functions. Finally,
you can review the data
transformations to ensure that your
data meets expectations before it is
run.
6
API Capability
7. Apply role-based and context-
based security for personalized
Access. You can manage data
using the Workday security
framework and set different
permissions for creating,
sharing, and publishing datasets.
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Data Management
8. Use data from Workday
Prism Analytics in Workday
reports, dashboards, and
discovery boards; plus, you
can view large datasets with a
high-performance in-memory
analytics engine and then
share insights with anyone in
the organization.
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The Central Data
Collection Center
9. Benefits of
Workday Prism
Analytics
•Anyone in your organization can
Access data by making reports
and dashboards available on any
device.
•Manage multiple data sources
and provide decision-makers
with a single source of truth.
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Distribution
10. •Maintain responsive financial
and workforce data in Workday
and integrate external resources
as needed.
•Set permissions based on roles
that adapt as your organization
changes.
10
Safety
11. •Transform data into action with
analytics and transactions in one
system, connected through a
familiar user interface.
Take control of how work gets
done with simple tools that don't
require coding and a system that's
easy to set up, manage and
maintain.
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Experiences
12. Pros
• No self-service analytics coding and no license
to visualize data.
• It is web-based. No desktop clients need to be
installed on your computer.
• Data querying is very good and very fast.
• It can work with various APIS.
• Data security throughout.
Cons
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• Data transfer may be slow due to the amount
of information being transferred.
• Tutorial modules are a bit difficult to navigate
when saving things.
• In-memory cache handling.
• Costs are high.
• No exams for companies to evaluate.