Week 3 - Information Systems Flashcards

(39 cards)

1
Q

What is external structured data?

A

Structured data gathered from outside the organisation.

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2
Q

What is an example of external structured data?

A

 Mobile phones / GPS
 Credit history
 Travel history
 Real estate records
 Census data

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3
Q

What is internal structured data?

A

Structured data generated within an organisation.

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4
Q

What is an example of internal structured data?

A

 CRM
 Web profiles
 Sales records
 HR records
 Financials
 Inventory

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5
Q

What is external unstructured data?

A

Unstructured data gathered from outside the organisation.

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6
Q

What is an example of external unstructured data?

A

 Google
 Twitter
 Facebook
 Instagram
 Pinterest
 Blogs
 External sensor data

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7
Q

What is internal unstructured data?

A

Information from within an organisation without any pre-defined structure such as a data table.

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8
Q

What is an example of internal unstructured data?

A

 Online forums
 Web feeds
 SharePoint
 Sensor data
 Text documents

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9
Q

What is structured data?

A

 Clearly defined data fields (e.g. name, age, address, phone number, etc).
 The data is easily searchable.
 Additional work undertaken to copy data from organisation systems into a data warehouse specifically for reporting and analysis.

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10
Q

What is unstructured data?

A

 Found mostly in external (big data) sources.
 The data not as easily searchable.
 Hard to manage and creativity is required to pull relevant data for analytics.

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11
Q

What is the process to convert data into information?

A

Data -> Contextualise, categories, calculate, quality, condense = Information

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12
Q

What are the three management decision types?

A
  • Unstructured decisions
  • Semi-structured decisions
  • Structured decisions
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13
Q

What are unstructured decisions?

A

Require judgement, evaluation and insight to solve the problem.
Example: deciding if the company should enter into a new market or would it be more beneficial to stay in their current market only.

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14
Q

What are semi-structured decisions?

A

Have elements of both structured and semi structured decisions.
Only part of the problem has a clear cut answer via accepted procedure.
Partially programmable but still requires human judgement.

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15
Q

What are structured decisions?

A

Having well-documented processes in place to handle a situation.
Structured decisions solve recurring problems.

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16
Q

What are golden records?

A

 Golden records for data are accepted as the most accurate and reliable of its kind. The data has been prepared or verified to represent the objective truth as closely as possible.
 Requires the use of data standards, data quality, metadata and master data management.
 Enables trusted decision-making.
 Enables joining of data.
 Provides a single view of data across part, or all, of the enterprise.

17
Q

What are data standards?

A

The rules by which data are described and recorded.

18
Q

What is data quality?

A

The ability of a given data set to serve an intended purpose.

19
Q

What is metadata?

A

Data about data.
It is a description giving structure, context and meaning.

20
Q

What is master data?

A

The consistent set of identifiers and extended attributes that describes the core entities of the enterprise.

21
Q

When are golden records mandatory?

A

In government and compliance reporting.

22
Q

What are the three types of metadata?

A
  • Structural
  • Administrative
  • Descriptive
23
Q

What is structural metadata?

A

How is it organised? How does it relate to other data sets.
E.g. books, photos, music, articles, products etc.
Structural book metadata includes page numbers, sections, chapters, index, table of contents.

24
Q

What is administrative metadata?

A

When was it created? When was it modified? Who can access it? How large is it?
E.g. author, publish date, access, file location, license types, camera mode used to take the photo, light source, resolution.

25
What is descriptive metadata?
Who owns it? What does it contain? Describes the asset to be used for identification and discovery. E.g. unique identifiers, physical attributes and bibliographic attributes including author, creator, title, keywords, tags, subjects, description.
26
What are the four types of master data?
- Less volatile - More complex - Valuable or mission-critical - Non-transactional
27
What is an inner join?
Focuses on the common items (intersection) between the two tables.
28
What is an outer join: left?
Keeps all data in the left table and adds to it using matching entries from table 2.
29
What is an outer join: right?
Keeps all data in the right table and adds to it using matching entries from table 1.
30
What is an outer join: full outer?
Combines and returns all data from two or more tables, regardless of whether there is a match between tables. Also called the union between tables.
31
What does OIS stand for?
Organisation information systems.
32
What are the three parts of organisation information systems (OIS)?
- Back-end (data preparation. Extract, transform and load into the data warehouse). - Front-end (visualisation. Dashboards, scorecards, reporting). - User-end (business user).
33
What is an organisation information system (OIS)?
A system that accesses the data, converts it into information and transports it across an organisation. An OIS is about providing data to the right person in the right place at the right time to enable operations.
34
What does EIM stand for?
Enterprise information management.
35
What is an enterprise information system (EIM)?
A set of business processes, policies and software to manage Organisation Information Systems, i.e. data and information flow across an organisation through its daily operations.
36
What are the seven building blocks of enterprise information management (EIM)?
 Infrastructure (connect disparate technologies, sources and opportunities without wholesale replacement. E.g. connect mobile, cloud and new external sources of data).  Vision (data and analytics leaders understand the organisation’s vision including strategic initiatives, objectives and threats).  Strategy (a long term plan for realising the EIM vision that requires commitment, a roadmap, systems, standards, policies and procedures).  Metrics (measuring the value of an initiative e.g. speed of getting a product to market, customer satisfaction).  Governance (responsibility, authority and accountability for setting decision rights, policies and goals for data and analytics programs).  People (getting people to follow good policies and procedures through training and education).  Process (Master Data Management: define and document processes and information lifecycles otherwise data accumulates and becomes unmanageable).
37
What does MDM stand for?
Master data management.
38
What is master data management (MDM)?
The tools and processes an organisation uses to establish a single source of truth for all its critical data i.e. their Master Data. MDM is:  Adherence to data standards.  Data quality assurance.  Ensuring metadata is present and accurate.  Converting data to information.
39
What are the three things master data management (MDM) needs to be?
- Available - Useable - Reliable