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What is tactical BI?
analyzing performance to achieve goals —- related to specific projects (analysts, takes weeks-months)
What is operational BI?
monitoring daily operations (real-time, for managers)
What is strategic BI?
setting long-term objectives, monitoring progress
Describe the four categories of BI business
benefits
Quantifiable: MEASURABLE
reduced latency (time saved), ROI
Indirectly Quantifiable: not intended
Unpredictable: also creative unintended discoveries
Intangible: NOT MEASUREABLE
ex. improved communication, improved knowledge sharing
What is Agile BI
incorporates Agile software development methods
accelerate + improve outcomes of BI.
reduce total cost of change
promote a culture that values reflection, accepts change, + understands how to respond flexibly to shifts in organizational value.
reasons for growth of WWW
Microcomputer revolution
Advancements in networking
Easy browser software
Speed, convenience, and low cost of email
Web pages easy to create and flexible
Smartphones
Explain how the Internet and WWW caused
business disruption
The world wide web caused business disruption because it created the e-business model,
businesses who do not adapt to the effects of WWW (trends, internet, tech advancements), become obsolete and are overtaken by competitors
creates new marketing factors to consider (ads, SEO)
brick-and-mortar businesses who do not branch out into e-business suffer
What is disruptive technology?
Offers new tech. that enters and changes the market unnoticed
What is sustaining technology?:
innovations that focus on improving the performance, quality, and features of existing products and services within an established market
what is digital darwinism?
When organizations cannot adapt to new technological advancements - new demands of information age
What is net neutrality?
all internet traffic is treated equally - no preference of specific content
What are internet fast lanes?
service that allows companies to pay extra fees to content providers - in order to get faster + more reliable internet access/
Describe ebusiness
ebusiness Includes ecommerce along with all activities related to internal and external business operations
What is B2B ebusiness model
Business to Business -:
businesses buying / selling to each other over the internet
What is B2C ebusiness model
Business to consumer:
Business selling to consumers over the internet
What is C2B ebusiness model
Consumer to business;
consumer selling product / service to ebusiness
What is C2C ebusiness model
consumer to consumer:
Sites that offer goods / services to assist consumers interacting with each other over the internet.
What are the four different E-business models?
B2B (business to business),
B2C (Business to consumer),
C2B (Consumer to business),
C2C (consumer to consumer)
Describe the five ebusiness tools for connecting and communicating
email, instant messaging/chat, video conferencing, project management platforms, and social media
What is search engine optimization?
process of improving a website's visibility in search engine results, such as Google, to increase organic (non-paid) traffic
describe e-business and its advantages
Ebusiness - Includes ecommerce along with all activities related to internal and external business operations
Advantages- Expanding Global Reach, Opening New Markets, Reducing Costs, Improving Operations, Improving Effectiveness
Describe the six ebusiness tools for connecting and communicating
1. Email
2. Instant Messaging
3. Podcasting
4. Videoconference
5. Web Conferencing
6.Content Management System
Identify the four challenges associated with ebusiness
1. Identifying Limited Market Segments
2.Managing Consumer Trust
3. Ensuring Consumer Protection
4. Adhering to Taxation Rules
Explain Web 2.0
The next generation of Internet use - a more mature, distinctive communications platform characterized by three qualities
what are the four characteristics of Web 2.0
1. Content sharing through open sourcing
2. User-contributed content
3. Collaboration inside the organization
4.Collaboration outside the organization
Explain how Business 2.0 is helping communities network
Networking by Social media -
There are Websites that rely on user participation and user-contributed content
Social network - An application that connects people by matching profile information
Social networking - The practice of expanding your business and/or social contacts by a personal network
Explain how Business 2.0 is helping communities collaborate
Collaborating by using User-contributed content - Created and updated by many users for others
Reputation system - Where buyers post feedback on sellers
Collaboration system - Tools that support the work of teams or groups by facilitating the sharing and flow of information
Collective intelligence - Collaborating and tapping into the core knowledge of all employees, partners, and customers
Knowledge management - Involves capturing, classifying, evaluating, retrieving, and sharing information assets in a way that provides context for effective decisions and actions
what is the difference between web 1.0 and web 2.0
Web 1.0 was a "read-only" web of static pages where users passively consumed information,
while Web 2.0 is a "read-write" web focused on user-generated content, interactivity, and social networking
Describe the three Business 2.0 tools for collaborating
Blogs- an online journal that allows users to post their own comments, graphics, and videos
Wiki's- Collaboration website that allows users to add, remove, and change content
Mashups- Content from more then one source to create a new product or service
Describe Web 3.0 and the next generation of online business
Web 3.0- Based on "intelligent" Web applications using natural language processing, machine-based learning and reasoning, and intelligence applications
next gen of online business= Semantic Web - A component of Web 3.0 that describes things in a way that computers can understand
Mobile business - The ability to purchase goods and services through a wireless Internet-enabled device
What is Data Latency
time duration to make data ready for analysis
(i.c., the time for extracting, transforming, and cleansing the data) and loading the data into the database.
What is Analysis latency?
time from which data is made available to the time when analysis is complete.
length depends on the time it takes a business to do analysis.
What is Decision latency:
time it takes for someone to comprehend the analytic result + determine an action.
What reveals the relationship between variables along with the nature and frequency of the relationships?
affinity grouping analysis
What are the 4 data mining techniques?
Cluster Analysis, Affinity Grouping Analysis, Estimation Analysis, Classification analysis
What is cluster analysis?
used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible.
What is the process of organizing data into categories or groups for its most effective and efficient use; for example, groups of political affiliation and charity donors?
classification analysis
What is Affinity Grouping Analysis?
Reveals the relationship between variables, along with the nature and frequency of the relationships.
create rules to determine the likelihood of events occurring together at a particular time or following each other in a logical progression.
What is Estimation Analysis?
Determines values for an unknown continuous variable behavior or estimated future value.
What is Classification analysis?
Decide the best way to classify records - the process of organizing data into categories for its most effective and efficient use —
Disintermediation
Occurs when a business sells directly to the customer online and cuts out the intermediary
Intermediaries
Agents, software, or businesses that provide a trading infrastructure to bring buyers and sellers together
Clickstream analytics –
The process of collecting, analyzing and reporting aggregate data about which pages a website visitor visits and in what order
4 benefits of ebusiness
EXPANDING GLOBAL REACH
OPENING NEW MARKETS
REDUCING COSTS
IMPROVING EFFICIENCY AND EFFECTIVENESS WITH ANALYTICS
what are 3 ways that ebusinesses improve efficiency with analytics
Heat map, Interactivity, stickiness, viral marketing, Clickstream
What is clickstream and how does it improve ebusiness efficiency - what does it reveal?
The exact path a visitor takes through a website including the pattern of a consumer’s navigation
data can reveal:
• Length of stay on a website
• Number of page views
• How they arrived on the page
• Where they went after leaving the page
• Number of abandoned shopping carts
What is clickstream and how does it improve ebusiness efficiency
A technique that induces websites or users to pass on a marketing message to other websites or users, creating exponential growth in the message’s visibility and effect
What is a Heat map and how does it improve ebusiness efficiency
A two-dimensional representation of data in which values are represented by colors
What is Interactivity and how does it improve ebusiness efficiency
Measures advertising effectiveness by counting visitor interactions with the target ad, including time spent viewing the ad, number of pages viewed, and number of repeat visits to the advertisement
What is Stickiness and how does it improve ebusiness efficiency
Measures the amount of time visitors spend on a website or application
what are the two ways that ebusinesses open new markets
Mass customization and Personalization
Business intelligence (BI)
– applications and technologies used to gather, provide access to, and analyze data and information to support decision-making efforts
Benefits of BI include
Single Point of Access to Information for All Users
BI across Organizational Departments
Up-to-the-Minute Information for Everyone
Innovator’s Dilemma
discusses how established companies can take
advantage of disruptive technologies without hindering existing relationships with customers, partners, and stakeholders
what are the two types of data
transactional and Analytical
Analytical Data
Encompasses all organizational data, and its primary purpose is to support the performing of managerial analysis tasks
transactional data
Encompasses all of the data contained within a single business process or unit of work, and its primary purpose is to support the performing of daily operational tasks
Boolean data
represents binary values, typically “true” or “false,” and is
used for logical conditions or flags. It is useful for expressing yes/no, on/off,
or true/false conditions in database operations
Quantitative Data
includes integers, decimals, or floating-point numbers. It is used to represent quantities, measurements, or calculations. Examples
include employee salaries, stock prices, or customer ages
Categorical Data
onsists of alphanumeric characters and is used to store textual information such as names, addresses, descriptions, or comments. It can
include plain text, formatted text, or even large documents
Real-time data and Real-time system
Real-time data – Immediate, up-to-
date data
Real-time system – Provides real-
time data in response to request
characteristics of high quality data
accurate, complete, consistent, timely, unique
The four primary sources of low-quality data include
Customers intentionally enter inaccurate data to
protect their privacy
Different entry standards and formats
Operators enter abbreviated or erroneous data by
accident or to save time
Third party and external data contains inconsistencies, inaccuracies, and errors
Potential business effects resulting from
low quality data include
Inability to accurately track customers
Difficulty identifying valuable customers
Inability to identify selling opportunities
Marketing to nonexistent customers
Difficulty tracking revenue
Inability to build strong customer relationships
THE BENEFITS OF GOOD DATA
improve the chances of making a good decision
Good decisions can directly impact an organization's bottom line
A data steward
Responsible for ensuring data policies and procedures are implemented across an
organization
Master data management (MDM)
The practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems
Data validation –
Includes the tests and evaluations used to determine compliance with data governance polices to ensure correctness of data
Data governance
Refers to the overall management of the availability, usability, integrity, and security of company data
Database –
maintains data about various types of objects (inventory), events (transactions), people (employees), and places (warehouses
Database management systems (DBMS)
–Allows users to create, read, update, and delete data in a relational database
difference between primary key and foreign key
Primary key – A field (or group of fields) that uniquely identifies a given entity in a table
Foreign key – A primary key of one table that appears an attribute in another table and acts to provide a logical relationship among the two tables
A well-designed database should
• Handle changes quickly and easily
• Provide users with different views
• Have only one physical view – Deals
with the physical storage of data on
a storage device
• Have multiple logical views –
Focuses on how individual users
logically access data to meet their
own particular business needs
Scalability
Refers to how well a
system can adapt to increased
demands
• –
Performance
Measures how quickly a system performs a certain process or transaction
Data redundancy
– The duplication of data or storing the same data in multiple places
Databases offer several security features:
Password – Provides authentication
of the user
• Access level – Determines who has
access to the different types of data
• Access control – Determines types of
user access, such as read-only access
Explain blockchain advantages over a
centralized relational database
Decentralization, Security, Immutability, Digital Trust, Internet of Things Integration
blockchain
a shared, immutable digital ledger that records transactions in blocks, which are cryptographically linked together in a chain.
centralized relational database
a database where all data is stored and maintained in a single, central location, such as a server, and organized into tables with predefined relationships between them
Describe the roles and purposes of data
warehouses in an organization
Data integration, historical data storage, Data transformation
Describe the roles and purposes of data marts in an organization
provide specific, department-level data for targeted analysis and faster decision-making by acting as a smaller, focused subset of a larger data warehouse.
enhancing data security by isolating sensitive information, and increasing user autonomy by giving specific teams tailored access without IT intervention
Identify the advantages of using business
intelligence to support managerial decision
making
Improved and faster decision-making: real-time, accurate data analysis, —— reducing the time it takes for managers to make critical decisions.
Enhanced operational efficiency: By analyzing data from multiple sources, BI helps identify bottlenecks and inefficiencies, allowing for streamlined processes and improved productivity.
Increased profitability: identifying cost-saving opportunities and new revenue streams, BI can lead to higher profits and a better return on investment (ROI)
Proof-of-work has two primary goals
1.To verify the legitimacy of a transaction, or avoid
the so-called double-spending
2. To create new digital currencies by rewarding
miners for performing the previous task
four kinds of BI analytical capability methods
consolidation, drill-down, slide-and-dice, Pivot
Pivot
rotates data, displaying alt. presentations of the data
slice-and-dice
looking at info from different perspectives - analyzing trends and finding patterns
consolidation
turning many simple data into interconnected info - ex. organizing sales data into catagories
drill-down:
viewing data details at each level (reverse consolidation - ex. manager’s view, monthly, weekly info)
daa warehouse vs data mart
data mart: compiled, organized data
data warehouse: stores data from every sourc
characteristics of high qualit data
accurate, timely, complete, unique, consistent