Module #4 Flashcards
True or false
The use of multiple tools and platform drives the need for a common information and data model across the organization, as well as the need for effective integration
True
What can happen to information as digital transformation progresses?
it can become a constraint on the effective delivery of services
An information model makes it possible for an organization to develop a shared understanding of their
Information, technology, systems, and structure
What are the core elements of an information model?
- Definitions of key facts, terminology, activities, and practices within the org
- Structural representations of key components of the organizations technology and business services, and the relationship between them
What are the two ways an information model can be created?
- From scratch
- by adopting an established model like Common Information Model, or Frameworx
an ___________ can be a key enablement tool for
-Transforming processes and practices
- integrating technologies
- Gaining an accurate overview of strengths and weaknesses in the service framework
- Driving informed decisions at all levels of the org
- enabling results based measurements
Information model
These types of toolsets do the following:
- Provide real time dynamic ability to manage volumes of work
- Automate records and workflow management
- act as engagement and communication tools
- Support a holistic information model for service management
- provide reporting and business analytics on performance, trends, improvements, costs and risks.
- Offer accountability and audit trails
Service management toolsets
These toolsets are often designed to automate the service management practices recommended by ITIL. These toolsets are constantly evolving to adopt new technologies
Service Management
What are service management toolsets most commonly used as?
- Systems of record
- Systems of engagement
What are service management toolset expectations?
- effective automation of workflows
- effective inventory, monitoring, and event management
- effective integration with organizations toolsets, other information systems, social networks and communication channels
- a high level of service warranty
- conformance to evolving architectural and technical requirements and standards
- advanced analytics and reporting
Service design frequently relies on what?
Integration between multiple systems
What are signs of good integration?
- enables and reinforces the processes that underpin the delivery of value
- ensure compliance with regulatory obligations
Considerations for integrations
- Reliability
- Fault tolerance
- Cost
- Complexity
- expected evolution
- Security
- Observability
What are the two Integration topologies?
- Point to point
- Publish - subscribe
What is a point to point integration topology?
- Involves directly linking pairs of systems
what is a publish subscribe integration topology?
messages are published by systems to an event broker, which forwards the message to the systems that have been designated as its recipients
What are the 3 integration approaches?
- Big bang
- Incremental delivery
- Direct integration
What is big bang integration approach?
Big bang - every integration is delivered at once
What is incremental delivery integration approach?
Integrations are introduced separately in a predefined order
What is direct integration integration approach?
Individual integrations are deployed as soon as they are ready, in no predetermined order
This is the method of examining data sets, often using specialized software, in order to draw conclusions about the information they contain
Data analytics
Data analytics technology and techniques can:
- Enable orgs to make informed business decisions
- Help to disprove scientific models, theories, and hypotheses
This is the autonomous or semi autonomous examination of data or content using high-level techniques and tools
Advanced analytics
A term that describes large volumes of structured, semi-structured, and unstructured data
Big Data
Extracting meaningful data requires
Processing power, analytics capabilities, and skill
Criteria for assessing data complexity
Data size
data structure
data type
query language
data sources
data growth rate
The more complex the data…
the bigger the challenge in finding value within it
What are the steps to generate useful dashboards and reports
Connect to data sources
extract, transform, and load data
query the centralized data
perform data visualization