W8: Business Intelligence Flashcards

1
Q

Draw the traditional file system

A

slide 519

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2
Q

What are the issues with the traditional file system (7 POINTS)

A
  • redundancy
  • inconsistency
  • processing inflexibility
  • wasted storage resources
  • just present data, dont make reports
  • only internal historical data, no external
  • limeted statistical analysis
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3
Q

list the differences that newer databases bring

A
  • relational data
  • data represented as 2D tables
  • each table contains data about an entity and its attributes
  • foreign rays link records that are related
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4
Q

what do Database management systems (DBMS) offer

A

Database Management Systems (DBMS) offer a systematic and efficient way to create, manage, retrieve, and update data in databases.

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5
Q

define BI

A

Term for software and data tools for organising, analysing and providing access to data to help managers etc make improved decisions.

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6
Q

5 BI uses

A
  • transaction processing systems - daily routine activities and transactions
  • management information systems - routine reports for managers
  • decision support systems - support non routine and rapidly changing decisions
  • executive support systems - senior management for non routine issues, long-term trends
  • enterprise apps - SCM, CRM and knowledge management
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7
Q

WHEN can BI give a competitive advantage

A
  • high quality and detailed data
  • optimisation, predictive modelling, statistical analysis etc
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8
Q

define big data

A

large sets that are computationally analysed for patterns, trends etc

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9
Q

List 4 V’s IBM model for big data

A
  • volume - scale of data
  • variety - different forms of data
  • velocity - speed of analysis of sharing data
  • veracity - uncertainty of data
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10
Q

what are non-relational databases

A

an innovation triggered by cloud computing and an increase in workload etc
- use a flexible data model
- designed for managing large datasets across many machines
- easy scaling
- useful for solving simple queries with large volumes of unstructured data from a variety of sources

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11
Q

Explain Blockchain

A
  • database technology that allows the creation and verification of transactions instantaneously on a network without central authority
  • basically a cloud network of transactions
  • transactions stored in one ledger (financial diary) which can be accessed by a network of computers
  • all computers continuously update
    safe because once a block of data is recorded it cant be changed
  • uses authentication and encryption
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12
Q

draw blockchain model

A

slide 537

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13
Q

Define analytics

A
  • means of extracting insights from big data
  • process of inspecting cleaning, transforming and modelling big data to discover useful info
  • includes both data analysis and communication
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14
Q

how has big data changed

A
  • at first was just about measuring customers to sell things
  • now data integrated with operations for additional capabilities like predictive etc
  • can quantify value of assets
  • allows for mass customisation and fusion of different data types
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15
Q

list 3 key big data questions

A
  1. how can we leverage big data for new oppurtunities
  2. how are digi platforms such as apps/SM changing customer interactions and expectations
  3. how can we asses companys readiness for benefitting from big data
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16
Q

define data products

A

products augmented by data

17
Q

define digital platforms

A

place people go to digitally interact interact with a company

18
Q

define data exchange

A

when interacting on a digital platform you both get and provide informatioN

19
Q

List 4 strategies for navigating data

A
  • keep data proprietary (own it) - google
  • trade data for shared benefits
  • sell data to clients
  • make data freely available to get visits
20
Q

Key takeaways for organisations to aim to do

A
  • create data products
  • leverage passive data capture
  • recognise asset surveillance
  • use new data as an asset for growth and innov
  • encourage data experimentation and exploration
21
Q

5 challenges of big data

A
  • Invasion of privacy
  • State surveyance and control
  • Misinformation, misinterpretation, misrepresentation
  • Data security and breaches
  • Shortage of talent necessary for organisations to take advantage of big data
22
Q

big data uses

A

operational intelligence in real time

location analysis - people distribution etc

23
Q

what do data + analytics give

A

Business insights

24
Q

what is EIS

A

Enterprise information system - business information system

25
Q

draw analytical CRM model

A

slide 552

26
Q

what happens when you combine BI and analytics with EIS

A

rapid and complex data analysis:
- flexible reporting
- ad-hoc analysis
- interactive dashboards
- what if scenario analysis
- data visualisation
- machine learning for predictions

27
Q
A