BUS 311 Ch. 6

  1. business intelligence
    the use of information systems to gather and analyze data and information from internal and external sources in order to make better decisions.
  2. data-driven organizations
    business that make decisions that can be backed up with verifiable data.
  3. Big Data
    • characterized by three things:
    • volume
    • variety
    • velocity
    • structured vs. unstructured
  4. structured data
    transaction data this can fit easily into spreadsheets or databases
  5. semistructured data
    clickstreams and sensor data
  6. unstructured data
    • audio
    • video
    • comment on social networks
  7. continuous planning process
    continuous monitoring of data and continuous updates and adjustments.
  8. entity
    • category in which you collect data about
    • people
    • classes etc
  9. in a table, a row is a
  10. in a table, a column is a
  11. RDBMS
    • relational database management systems.¬†
    • links tables via relationships to balance efficiency of storage needs, ease of retrieval, an other factors.
  12. data model
    map or diagram that represents entities and their relationships
  13. data dictionary
    a document explaining several pieces of information for each attribute such as name place and date
  14. form
    document with blanks for customer to input information.
  15. report
    compilation of data from the database that is organized and produced in printed format
  16. query
    used to retrieve data from a database
  17. SQL
    • Structured Query Language
    • most common language used to interface with RDBMS
  18. operational systems
    • systems used to interact with customer and run a business in real time
    • for example
    • sales order processing
    • reservation systems
  19. Online transaction processing (OLTP)
    used to handle multiple concurrent transactions from customers.
  20. informational system
    systems designed to support decision making based on stable point-in-time or historical data
  21. Master data
    most important data
  22. crucial process or consolidating data from operational systems with other organizational data is
    • extraction
    • transformation
    • loading
  23. data mart
    more specific less data than a data warehouse
  24. forms of data stored in organizational databases. When businesses need the right information at the right time
    • scheduled reports
    • drill down reports
    • exception reports
    • key-indicator reports
  25. ad hoc queries
    • queries created because of unplanned information needs that are typically not save for later use.
    • decision makers frequently have information needs that are unforeseen and may never arise again.
  26. online analytical processing (OLAP)
    process of quickly conduction complex, multidimensional analyses of data stored in a database that is optimized for retrieval.
  27. in memory
    data stored on computers main memory instead of hard drive
  28. OLAP cube
    allows for multidimensional data
  29. Data mining complements OLAP in that it provides capabilities or discovering hidden predictive relationships in the data
  30. Association discovery
    find associations within data
  31. clustering
    process of grouping related records together on the basis of having similar values for attributes, thus finding structure in the data
  32. classification
    groups are known beforehand and records area segmented into these classes.
  33. text mining is extracting data from textual documents
    web content mining extracts data from web documents
  34. clickstream data
    recording a users path through a web site
  35. stickiness
    attract and keep visitors
  36. Decision support system
    system used to support a problem
  37. Artificial intelligence
    science of enabling information technologies to simulate human intelligence.
  38. expert system
    uses reasoning methods based on knowledge about a specific problem domain in order to provide advice.
  39. types of intelligent agents
    • user agents
    • buyer agents
    • monitoring and sensing agents
    • data mining agents
    • web crawlers
    • destructive agents
  40. two types of knowledge assets
  41. explicit knowledge assets
    reflect knowledge that can be documented.
  42. tacit knowledge assets
    reflect the processes and procedures that are located in a person's mind on how to effectively perform a particular task
  43. benefits and challenges of knowledge management systems
    • effective deployment requires employees to agree to share their personal tacit knowledge assets
    • successful deployment must first identify what knowledge is needed, why it is needed, and who is likely to have this knowledge.¬†
    • must be linked to a specific business objective
    • must be easy to use
  44. goal of a successful knowledge management system is to facilitate the exchange of needed knowledge between islands mentioned in book.
  45. digital dashboards
    present key performance indicators used by managers
  46. digital dashboards support three models
    push reporting 
    exception reporting and alerts
    pull reporting
  47. visual analytics
    combination of various analysis of techniques and interactive visualization to solve complex problems
  48. geographic information system
    system for creating, storing, analyzing, and managing geographically referenced information.
Card Set
BUS 311 Ch. 6