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50 Terms

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Information Age

the present time where infinite facts are widely available to anyone with a computer. Ex. Amazon or Netflix

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Internet of things

Interconnected internet enabled devices can collect and share data without human intervention

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Machine to machine

refers to devices that connect directly to other devices

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Data

Raw facts that describe the characteristics of an event or object.

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Big data

A collection of large complex datasets, including structured and unstructured data, which

cannot be analyzed using traditional database methods and tools.

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4 Characteristics of big data

Variety, Veracity, Volume, Velocity.

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Variety

Different forms of structured and unstructured data. Ex. Spreadsheets, databases, emails

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Veracity

Uncertainty/Untrustworthiness of data including biases, noise, abnormalities

Keep data clean and implement process to keep out dirty data from systems

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Volume

Scale of data

Massive volume created by machines and networks generated

Big data tools used for analyzation

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velocity

Analysis of streaming data as it travels the internet

Analysis of social media messages spreading daily

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Structured Data

defined length, type, and format. Ex. Numbers, dates, customer address usually stored in spreadsheet/databse

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Machine generated data

created by a machine without human intervention

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Human generated data

data that humans, in interaction with computers, generate. Ex. gaming data/input data

20% of data that surrounds us

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unstructured data

doesn’t have defined length or format

usually freeform like e-mails, tweets, texts

90% of data that surrounds us

Machine generated: satellite imaging, atmosphere data

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Information

Data converted into meaningful and useful context helping to inform business decisions

Computers need data, humans need info

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Dynamic report

changes automatically during creation

ex. stock market or inventory

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Static report

created once based on data that does not change

ex. sales report, salary report

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Business Intelligence

Info collected from multiple sources like customers or suppliers that analyze patterns for strategic decision making

incorporates multiple variables to anticipate performance

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Data Analyst

Collects data to uncover patterns and provide interpretations understood by stakeholders and help strategic business decision making

Skills: Understand math and statistics, coding skills, Business area subject matter expertise

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Data Scientist

Data analyst focuses on interpretation while data scientist extracts knowledge from data to using statistical analysis and data mining to identify future patterns and market changes, etc.

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analytics

The science of fact-based decision making.

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business analytics

transforming data into insight for making better decisions.

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4 categories of analytics

descriptive, diagnostic, predictive, prescriptive

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Descriptive Analytics

describes past performance and history, allows to spot trends

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Diagnostic analytics

examines data or content to answer the question “why did it happen”

determine cause of positive or negative outcome

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Predictive analysis

extracts info from data to predict future trends and identify behavioral patterns =proactive action

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Prescriptive analytics

creates models indicating the best decision to make or course of action to take

can see potential problems and stay ahead of industry trends

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Knowledge

skills, experience, and expertise, coupled with information and intelligence, that creates a person’s intellectual resources.

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Knowledge assets

Knowledge/intellectual capital in the minds of members, customers, and colleagues

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Knowledge Worker

ability to interpret and analyze information.

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Knowledge facilitator

acquire and catalog the knowledge assets in an organization

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Business Unit

segment of a company ex. marketing

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Data Silo

when one business unit is unable to freely communicate with other business units making it difficult or impossible for organizations to work cross-functionally.

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Data Democratization

The ability for data to be collected, analyzed, and accessible to all users

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systems thinking

A way of monitoring the entire system by viewing multiple inputs being processed or transformed to produce outputs while continuously gathering feedback on each part

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Feedback

Information that returns to its original transmitter and modifies the transmitter’s actions

helps maintain stability of system

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MIS

business function, such as accounting, which moves information about people, products, and processes across the company to facilitate decision making and problem solving

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Value Added

the difference between the cost of inputs and the value price of outputs.

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Business Strategy

strategy that achieves specific set of goals like increasing sales or decreasing costs

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Stakeholder

A person or group that has an interest or concern in an organization

Drive business strategies

Ex. Investors, suppliers, employees, customers, gov’t, community

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Competitive Advantage

A feature of a product or service on which customers place a greater value than they do on similar offerings from competitors

usually temporary

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first mover advantage

Occurs when a company can significantly increase its market share by being first with a new competitive advantage.

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Competitive Intelligence

Gathering information about the competitive environment, including competitors’ plans, activities, and products, to improve a company’s ability to succeed

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SWOT Analysis

-Potential internal strengths (Helpful)

-Potential internal weaknesses (Harmful)

-Potential external opportunities (Helpful)

-Potential external threats (harmful)

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Porters five forces model definition

Analyzes the competitive forces within the environment in which a company operates to assess the potential for profitability in an industry.

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Five forces model includes

-Buyer Power: Power of customers to drive down price. Combated with switching costs (cost making customer reluctant to switch to new product) and loyalty programs

-Supplier Power: Power of suppliers to drive up prices of materials. Consists of supply chain

-Threat of substitute products or services: High when there are many alternatives to a product or service and low when there are few alternatives from which to choose

-Threat of new entrants: High when it is easy for new competitors to enter a market and low when there are significant entry barriers to joining a market. Includes entry barrier (Product competitors must offer the same for survival)

-Rivalry Among existing competitors: The main threat, High when competition is fierce in a market and low when competitors are more complacent. Includes product differentiation (a company develops unique differences in its products or services with the intent to influence demand.)

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Porter’s 3 generic strategies

can be applied to any business, product, or service

-Broad market and low cost: Walmart

-Broad Market High cost: Neiman Marcus

-Narrow market low cost: Payless

-Narrow market high cost: tiffany and co

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Value chain Analysis

Views a firm as a series of business processes that each add value to the product or service.

-Inbound logistics: acquires raw material distributes to manufacturing

-Operations: transforms raw materials into goods and services
-Outbound logistics: distributes goods and services to customers
-Marketing and sales: promotes, prices, and sells products to customers
-Service: provides customer support after the sale

Support value activities include: Firm infrastructure, HR, tech development, and procurement

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Business Process

Standardized set of activities that accomplish a specific task, such as processing a customer’s order.

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Digital value Chain

Digitizes work across primary and supporting activities.