Information Management Quiz 1 (HW q's)

Machine-generated unstructured data

includes satellite images, scientific atmosphere data, and radar data

Human-generated unstructured data

includes text messages, social media data, and emails

Velocity

-The analysis of streaming data as it travels around the internet -Analysis necessary social media messages spreading globally

Internet of Things (IoT)

a world where interconnected, Internet-enabled devices or "things" can collect and share data without human intervention

Cloud computing relies on the time frames when a system is operational. Which of the following agile MIS infrastructures does this represent?

availability

Which of the following refers to applications and technologies that are used to gather, provide access to, and analyze data and information to support decision-making efforts?

business intelligence

Machine to Machine (M2M)

refers to devices that connect directly to other devices

What ensures an MIS system is functioning correctly and providing accurate information?

reliability

Prescriptive Analytics

uses techniques that create models indicating the best decisions to make or course of action

Predictive Analytics

uses techniques that extract information from data and uses it to predict future trends and identify behavior patterns

Which of the following is considered the input in the systems thinking example of a decision support system

Transaction processing system

Descriptive analytics

Uses techniques that describe past performance and history

Machine-generated data

data created by a machine without human intervention

Volume

-The scale of data -Included enormous volumes of data generated daily -massive volume created by machines and networks -Big data tools necessary to analyze zettabytes and bronobytes

veracity

-The uncertainty of data, including biases, noise and abnormalities -Uncertainty or untrustworthiness of data -Data must be meaningful to the problem being analyzed -Must keep data clean and implement processes to keep dirty data from accumulating in systems

Up to how much faster can google predict the flu than the CDC

2 weeks

LAN (Local Area Network)

A network of computers and other devices that is confined to a relatively small space, such as one building or even one office.

WAN (Wide Area Network)

A network that spans a long distance and connects two or more LANs.

PAN (Personal Area Network)

A small network consisting of personal devices at close range; the devices can include cell phones, PDAs, and notebook computers.

MAN (Metropolitan Area Network)

A type of network that covers a large city or campus.

What is information management

Application of management techniques to collect information, communicate it within and outside the organization, and process it to enable managers to make quicker and better decisions

Information

Data converted into a meaningful and useful context Report -A document containing data organized in a table, matrix, or graphical format allowing users to easily comprehend Static report -Created once based on data that does not change Dynamic report-Changes automatically during creation Examples- Best selling product, best customer, worst selling product, worst customer

Data driving extraction of not so obvious but useful information from large databases

Data mining

The process by which we share information to ensure consistency between multiple data source is...

Data replication

What models information and provides assistance in evaluating and choosing among different courses of action

Decision support system

Category of analytics for knowledge workers to know

Descriptive analytics techniques that describe past performance and history. Predictive analytics techniques that extract information from data and use it to predict future trends and identify behavioral patterns. Prescriptive analytics techniques that create models indicating the best decision to make or course of action to take.

Structured databases are: A) Texts B) Videos C) Pictures D) Excel

Excel

Which prediction data mining technique would be best used to predict which location would be the most profitable to build a new franchise location Jamba juice

Forecasting

Measurements of data

Kilobyte (KB) 1024 B Megabyte (MB) 1024 KB Gigabyte (GB) 1024 MB Terebyte(TB) 1024 GB Petabyte (PB) 1024 TB Exabyte (EB) 1024 PB Zettabyte (ZB) 1024 EB Yottabyte (YB) 1024

Why is it important to study MIS

MIS is everywhere in business, and you need to understand it to compete in today's global economy.

unstructured data

Not defined and does not follow a specified format and is typically free-form text such as emails, twitter tweets, and text messages -Examples: Satellite images, photographic data, video data, social media data, text messages, voicemail data

Primary differences of OLTP and OLAP

OLTP is used at the operational level; OLAP is used at the managerial level. - OLTP is used to capture transactional and event data; OLAP is used to manipulate information. - OLTP is used to support structured decisions; OLAP is used to support semi structured decisions.

What is meant by "Digital Exhaust"

The trail of data that each of leaves online

________ creates multiple "virtual" machines on a single computing device.

Virtualization

structured data

a defined length, type, and format and includes numbers, dates, or strings such as Customer Address -Examples: Sensor data, weblog data, financial data, click stream data, point of sale data, accounting data

Online transaction processing (OLTP)

captures, stores, and processes data from transactions in real time. (Operations, DSS, Structured)

Which of the following refers to the use of resources and applications hosted remotely on the Internet?

cloud computing

Human-generated data

data that humans, in interaction with computers, generate

Variety

different forms of structured and unstructured data -Data from spreadsheets and databases as well as from emails, videos, photos and PDFs, all of which must be analyzed

Analytics

the science of fact-based decision making. There are numerous academic decision-making models

Business analytics

the scientific process of transforming data into insight for making better decisions

Online analytical processing (OLAP)

uses complex queries to analyze aggregated historical data from OLTP systems (Management, manipulate, adhoc, semistructureddecisions)

________ refers to how well a system can adapt to increased demands. A number of factors can create organizational growth including market, industry, and economic factors

Scalability

Knowlege

Skills, experience, and expertise coupled with information and intelligence that creates a person's intellectual resources Knowledge worker- Individual valued for their ability to interpret and analyze information Examples- Choosing not to fire a sales representative who is under porfin know that person is experiencing family problems

Laura knows how to make 26 different crafts for her Etsy store but decides she has time to make three. Which model should she use to determine which three will maximize profit

Optimization

MIS Department Roles and Responsibilities

Chief information officer (CIO)-Oversees all uses of information and ensures the strategic alignment of MIS with business goals and objectives Chief data officer (CDO) -Responsible for determining the types of information the enterprise will capture, retain, analyze, and share Chief technology officer (CTO)-Responsible for ensuring the throughput, speed, accuracy, availability, and reliability of information

Advantages of business

Content sharing through open sourcing (Open-sources system)- Mozilla Firefox Collaboration inside the organization (Knowledge management system)- Advises golf caddies User-contributed content(Reputation system) - Rates eBay sellers Collaboration outside the organization- (Crowdsourcing system) - Looking outside the box

Data Mining Techniques

Estimation- determine values for an unknown continuous variable behavior or estimated future value Classification- Assigns records to one of the predefined set of classes Affinity Grouping- Determines which things go together Clustering- Segments of heterogenous population of records into numbers of more homogenous subgroups

Business intelligence

Information collected from multiple sources such as suppliers, customers, competitors, partners, and industries that analyzes patterns, trends, and relationships for strategic decision making Examples- Lowest sales per week compared with the economic intrest rates

Data mining analysis methods

Prediction- A statement about what will happen or might happen in the future, for example. predicting future sales or employee turnover Optimization- A statistical process that finds the way to make a design system, or decisions effective as possible, for example, finding the values of controllable variables that determine maximum productivity or minimal waste. Forecasting- Predictions based on time-series information Regression- A statistical process for estimating the relationships among variables. it includes many techniques for modeling and analyzing several variables when the focus A defined length, type, and format and includes numbers, dates, or strings such as Customer Address on the relationship between a dependant variable and one or more independent variables.

Data

Raw facts that describe the characteristics of an event or object Big data- A collection of large, complex data sets, including structured and unstructured data, which cannot be analyzed using traditional database methods and tools Examples- order data, amount sold customer number