ISDS 2001 test 5
Of the three major service models that underlie the service-oriented DSS/BI, what is Analytics-as-a-Service (AaaS)?
"Agile Analytics" In the cloud, it has economies of scale, better scalability, and higher cost savings.
ParkPGH app underlying algorthim
- uses data on current events around the area (basketball game) to predict an increase in demand for parking spaces later that day -saving commuters valuable time searching for parking spaces in the busy city
Component-based service orientation fosters:
-Reusability -substitutability -extensibility (NOT originality!)
What is MapReduce?
A technique popularized by Google distributes processing of very large multi-structured data files across a large cluster of ordinary machines/computer processors
What is reality mining?
Specialized data mining of location-based data.
Using data to understand customers/clients and business operations to sustain and foster growth and profitability is:
a) an increasingly challenging task for today's enterprises. b) is not a new technological fad, rather, it's a business priority.
What does the term Stream Analytics refer to?
analytic process of extracting actionable info from continuously flowing/streaming data
Why do companies say you should *govern* in order to succeed with Big Data?
data governing has always been a challenging issue in IT getting even more puzzling with the advent of Big Data More than 80 countries have data privacy laws EU- seven "safe harbor privacy principles" for the protection of their citizens' private data US- Sarbanes-Oxley affects all publicly listed companies.
Luxottica ________ *outsource* their data storage and promotional campaign development and management, _______ did they merge with companies in Asia.
did NOT; nor
What was the major challenge Dublin City was facing and what did the proposed solution offer?
difficulty in getting a good picture of traffic in the city from a high-level perspective.
CabSense _________ give the exact location of all the cabs in real time for New Yorkers and visitors wanting to hire a cab; and it ___________ give cab drivers the exact location of all New Yorkers and visitors wanting to hire a cab.
does NOT; does NOT
Of the three major service models that underlie the service-oriented DSS/BI, what is Information-as-a-Service (IaaS)?
"Information on Demand" Goal: make information available quickly to people, processes, and applications across the business (*agility*) -provides a "single version of the truth," availability 24/7, -*reduce (not increase)* proliferating redundant data and the time it takes to build and deploy new information services
What is the job of a Data Scientist considered as by Thomas H. Davenport and D. J. Patil of the Harvard Business Review?
"The sexiest job of the 21st century"
"Top 5 Investment Bank Achieves Single Source of the Truth," major challenges
-Bank's legacy system built on relational DB tech as data volumes and variability increased, legacy system wasn't fast enough to respond to growing business needs and requirements -unable to deliver real-time alerts to manage market and counterparty credit positions in desired timeframe
From the case study "A Life Coach in Your Pocket," how can smartphone data be used to predict medical conditions?
-Predictive analytics can calculate life expectancy of the user, who can begin discovering health opportunities -most smartphones are equipped with accelerometers and *GYROSCOPES* to measure jerk, orientation, and sense motion. -muscle motions can be used to predict progression (Parkinsons) and track exercise
Of the three major service models that underlie the service-oriented DSS/BI, what is Data-as-a-Service (DaaS)?
-accessing data "where it lives" -enriching data quality with *centralization*
"Great Clips" case study, use geospatial analytics to
-analyze locations based on requirements for potential customer base, demoraphic trends, and sales impact on exisiting franchises in target location -use Alteryx-based solution to evaluate each new location based on dems and behavior data, align with existing Great Clips customer profiles and potential revenue impact of new site on existing sites
What are the critical success factors of big data analytics?
-clear business need (alignment with the vision and the strategy) -Strong, committed sponsorship (executive champion) -A fact-based decision-making culture (numbers drive decision-making)
What is "Web-based email" and what does it provide?
-cloud computing app -provides *centralized* hardware/software/infrastructure and *centralized* updates/upgrades (e.g., Google's Gmail).
challenge eBay was experiencing
-explosive data growth -needed solution without typical bottlenecks, scalability issues, and transactional constraints associated with common relational DB approaches -needed solution to perform rapid analysis on broad assortment of structured/unstructured data it captured
From the Oklahoma Gas and Electric case study why perform consumer analytics?
-helps company's customers make better purchasing and usage decisions -og&e using it to help conserve energy usage and delay building fossil fuel plants (decrease cost and customers energy cost down) and help environment as a whole (decrease pollution by fossil fuels)
From the Oklahoma Gas and Electric case study, what is TRUE?
-in energy industry, *SMART GRIDS* are one of the most impactful applications of stream analytics
How can big data analytics help ease the traffic problem in large cities?
-integrating geospatial data from buses and data on bus timetables into a central geographic information system, you can create a digital map of the city -using the dashboard screen, operators can drill down to see the number of buses that are on time or delayed on each route -users can produce detailed reports on areas of the network where buses are frequently delayed, and take prompt action to ease congestion
What is the role of analytics and Big Data in modern day politics?
-lot to offer to modern-day politics -even though elections are unpredictable, politics and elections are suitable arenas for Big Data -main characteristics of Big Data, namely volume, variety, and velocity (the three Vs), readily apply to the kind of data that is used for political campaigns
eBay results of Big Data Solution
-more cost effectively process massive amounts of data at very high speeds -new architecture serves wide variety of new cases -reliability and fault tolerance greatly enhanced -load balancing helped company meet Big Data needs with extremely fast data handling and app availability requirements- enables buying and selling anything online
"Top 5 Investment Bank Achieves Single Source of the Truth," benefits:
-new alert feature -less maintenance downtime -much faster capacity to process complex changes -reduced operation costs
"A Life Coach in Your Pocket," how do location-based analytics help individual customers?
-on smart phone- enter data, location and sensors can find others in location with similar circumstances and companies with products they may want -user can see what others in location are choosing and opportunites for meeting needs
Cabsense allows users
-plan in advance -set up date/time of travel and view best corners for taxi user location obtained from GPS on phone
Dynamic segmentation Oklahoma Gas and Electric
-real-time or near-real-time customer segmentation analytics that will enhance their understanding about individuals' responses to the price signals and identify the best customers to be targeted with specific marketing campaigns
From the Dow Chemical case study, what was the solution
-thousands of Dow employees rely on JMP stat discovery software to gain competitive edge -JMP used in many facets of operations
incentives of og&e customers might respond to in change of energy use
-working with consumer-oriented efficency programs to shift residential customer's usage out of peak demand cycles -target customers with smart hours plan: customers choose variety of rate options sent via phone, text, email (attractive summer rates- not peak hours 2-7pm) -supplying communicating thermostat- responds to price signals sent by og&e and helps customers in managing utility consumption -educates customers on usage habits by providing 5 min interval data every 15 mins to demand-responsive customers
From the case "Top 5 Investment Bank Achieves Single Source of the Truth," what were the major benefits of big data?
1. Big data can potentially handle *high volume, high variability, continuously streaming data* that trading banks need to deal with 2. Because the investment bank did not have the capacity to house their big data, the biggest benefit was utilizing the *solution based on a relational database in the cloud* and thus relies on multiple installations around the world to access and process the data.
In the case study about the Dublin City Council, what is FALSE?
1. GPS data from the city's buses and CCTV were the *only data sources* for the big data GIS-based application. 2. The major problem was the difficulty in enabling the controllers to view the status of *individual bus routes.* 3. Dublin can help get a better sense of "traffic health" by identifying traffic congestion in its early stages using *public cloud offerings and numerous proprietary modules* and data warehouses.
From the case "Top 5 Investment Bank Achieves Single Source of the Truth," what were NOT some of the major benefits of big data?
1. Increased operations costs 2. a multi-data center deployment to process complex changes.
Research into managerial use of DSS and expert systems found that managers:
1. Spent more of their time planning 2. Decision making quality enhanced 3. Devote *less* of their time "fighting fires" (a crisis that pops up) 4. Spent less time in the office- more in the field 5. Gained more power as they gained more information and analysis capabilities
In the "Big Data and Analytics in Politics" case study, what were the *inputs* to the analytic system?
1. census data 2. election databases 3. market research 4. social media
From the Dow Chemical case study posted on moodle, what is FALSE?
1. reduces customer churn 2. maximizes *customer* recruitment 3. *customer* relationship management 4. forecasts *stock* fluctuations
In the "Big Data and Analytics in Politics" case study, what were the *outputs, or goals* to the analytic system?
1. voter mobilization 2. organize movements 3. increase number of volunteers 4. raise money contributions
Business investments ought to be made for the good of the business, not for the sake of mere technology advancements. Therefore the main driver for Big Data analytics should be an alignment with the vision and the strategy and at any level- strategic, tactical, and operations. Which of the critical success factors for Big Data analytics is being described?
A clear business need
In a _________________, the numbers rather than intuition, gut feeling, or supposition drive decision making. There is also a culture of experimentation to see what works and doesn't. To create this, senior management needs to do the following: recognize that some people can't or won't adjust; be a vocal supporter; stress that outdated methods must be discontinued; ask to see what analytics went into decisions; link incentives and compensation to desired behaviors.
A fact-based decision-making culture
It is a well-known fact that if you don't have committed executive backing, it is difficult (if not impossible) to succeed. If the scope is a single or a few analytical applications, the support can be at the departmental level. However, if the target is enterprise-wide organizational transformation, which is often the case for Big Data initiatives, _____________________ needs to be at the highest levels and organization-wide. Which one best Critical Success Factor for Big Data Analytics best fills the blank in the previous sentence?
A strong, committed sponsorship
What is Web 2.0?
A term for describing advanced web technologies and applications; *related to analytics* Changing the web from passive to active (the consumer is the one that creates the content; user-created content is growing!)
Perpetual Analytics
A type of analytics that evaluates every incoming observation against all prior observations when analyzing Big Data in the context of intelligent systems and recognizing how the new observation relates to all prior observations- enables discovery of real-time insights
The traditional location-based analytic techniques using geocoding of organizational locations and consumers hampers the organizations in understanding "true location-based" impacts. This is because of the following reasons EXCEPT for: a) The rich, detailed granularity of using postal codes has vast potential to pinpoint the growth opportunities of individual customers. b) Organizations employ visual maps that are geographically mapped and based on the traditional location data, usually grouped by postal codes. c) Locations based on postal codes offer an aggregate view of a large geographic area. d) Addition of location components based on latitudinal and longitudinal attributes to the traditional techniques enables organizations to add a new dimension of "where" to their traditional business analyses.
A; this is a false statement because postal codes are not detailed enough information to find individual customers.
Why do companies say you should *coexist* in order to succeed with Big Data?
Because using the strengths of each database platform and enabling them to coexist in your organization's data architecture are essential. ample literature: the necessity of maintaining and nurturing synchronicity of traditional data warehouses with the capabilities of new platforms.
For Luxottica, __________ includes everything they can find about their customer interactions.
Big Data
Why do companies say you should *empower* in order to succeed with Big Data?
Big Data and self-service business intelligence go hand in hand Organizations with Big Data are over 70% more likely than other organizations to have BI/BA projects that are driven primarily by the business community, not by the IT group Across a range of uses: -tackling new business problems -developing entirely new products and services -finding actionable intelligence in less than an hour -blending data from disparate sources Big Data has fired the imagination of what is possible through the application of analytics
MapReduce + Hadoop = ?
Big Data core technology
A data scientist is considered as a ______________.
Big Data guru
"Top 5 Investment Bank Achieves Single Source of the Truth," solution:
Big Data offered scalability to address the problem
Of the 6 V's that define big data, what does *value proposition* refer to?
Big Data's potential to contain more useful patterns and interesting anomalies than "small" data.
When new analytics applications are introduced and affect multiple related processes and departments, the organization is best served by utilizing ________________ which is defined as a major restructuring of organizational business processes with respect to changes in organizational culture and new information technology initiatives being undertaken by an organization.
Business Process Reengineering (BPR)
____________ by Sense Networks is an app for consumers to use in finding a taxi in New York City through ratings of street corners using interactive maps.
CabSense
An emerging technology trend that business intelligent users should be aware of is _____________ because it offers the possibility of using hardware, software, platform, and infrastructure, all on a service-subscription basis and usually as virtualized resources.
Cloud Computing
Data/Text Mining + Big Data =
Cloud Computing
_________________ originates from a reference to the Internet as a "cloud" and is a combination of several information technology components as services.
Cloud computing
Of the 6 V's that define big data, what does *variability* refer to?
Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage.
In the Luxottica case study, the technique company uses to gain visibility into its customers is ______________.
Data integration
_____________ use a combination of their business, communication, and technical skills to investigate Big Data looking for ways to improve current business analytics practices (from descriptive to predictive and prescriptive) and hence to improve decisions for new business opportunities.
Data scientists
Of the 6 V's that define big data, what does *variety* refer to?
Data today comes in all types of formats- ranging from traditional databases to hierarchical data stores created by the end users and OLAP systems, to text documents, e-mail, XML, meter-collected, sensor-captured data, to video, audio, and stock ticker data. By some estimates, 80 to 85 percent of all organizations' data is in some sort of unstructured or semi-structured format.
Stream Analytics is also called _______________ analytics and ____________ analytics.
Data-in-motion; real-time data
From the "Great Clips" case study, what is FALSE?
FALSE: Great Clips is examining the types of haircuts most popular in different geographic locations. FALSE: Great Clips is using dynamic segmentation.
From the Oklahoma Gas and Electric case study, what is FALSE?
FALSE: OG&E is using consumer analytics to help increase energy usage to regain company profits and ultimately to *accelerate* their need to *build new fossil fuel generation plants*. FALSE: Geospatial mapping gives OG&E an easy way to track down the specific customers in a geographic region based on their lapsed payments on their utility bills and *assign bill collectors* to the *highest delinquency* rates by zip code. FALSE: OG&E has started working on corporate-oriented *inefficiency programs* to shift the corporate energy usage into *more peak demand cycles*.
A transportation app, ParkPGH, is different from a "parking space-reporting" app. What is FALSE about the reasons why it is different?
FALSE: ParkPGH can find the best corners for *hailing a taxi cab* in New York City based on the person's location, the day of the week, and the time of day.
The case study "A Life Coach in Your Pocket" contained great illustrations of how location-based analytics can be used by individual consumers. What is FALSE?
FALSE: This case study was *solely for consumer entertainment*. FALSE: The app created the behavior profile and compared it with *census data from the Bureau of Labor*.
A British company called Path Intelligence has developed a system, called ______________, that ascertains how people move within a city or even within a store by using reality mining, location analytics, and shopper insight.
Footpath
A critical emerging trend in analytics is the incorporation of location data, known as _____________.
Geospatial Analytics
________________ is the static location data used by the location-based analytic applications.
Geospatial data
By integrating detailed ___________________, real-time location information, and logistics data in a visual, easy-to-access format, the _____________________ could easily track information which in turn enables them to make well-informed decisions for _________________.
Global intelligence; U.S. Transportation Command (USTRANSCOM); global operations
Of the many different stream analytics applications, one the the most important is _______________. In this application, the biggest potential source of big data comes from _______________.
Health services; patient monitoring
Do you think Big Data analytics could change the outcome of an election?
It may well have changed the outcome of the 2008 and 2012 elections. Many agree that the Democrats clearly had the competitive advantage in utilizing Big Data and Analytics over the Republicans in the 2008 and 2012 presidential elections.
"Quiznos Targets Customers for Its Sandwiches," they used
LOCATION-BASED ANALYTICS
______________ from mobile phones can be used to create profiles of user behavior and movement.
Location information
Of the 6 V's that define big data, what is *volume*?
MOST COMMON Many factors contributed to the exponential increase in this trait, such as transaction-based data stored through the years, text data constantly streaming in from social media, increasing amounts of sensor data being collected, automatically generated RFID and GPS data, and so forth.
What are the 3 main big data technologies?
MapReduce, Hadoop, and NoSQL
CabSense distinguishes
NY Yellow Cab services from for hire vehicles and prompts users with relevant details of private service
What is Hadoop?
Originally created by Doug Cutting at Yahoo! open source framework for storing and analyzing massive amounts of distributed, unstructured data
____________ is an app for finding a parking spot in real-time for downtown Pittsburgh, Pennsylvania. It is capable of predicting future parking availability.
ParkPGH
__________ is the right to be left alone and the right to be free from unreasonable personal intrusions.
Privacy
____________________ are a huge success for retailer line Amazon.com.
Recommendation engines
Of the 6 V's that define big data, what is *veracity*?
Refers to the conformity to facts: -accuracy -quality -truthfulness or -trustworthiness of Big Data
_____________ thinking is one of the fastest-growing paradigms today. It is a combination of service orientation + ______ which includes optimization, data mining, text mining, simulation, automated decision systems.
Service-oriented; DSS/BI
One of the biggest challenges for big data analytics is ______________, because data scientists are in short supply.
Skill availability
What is NoSQL?
Stands for "Not Only SQL"; new style of database used to store and process large volumes of unstructured, semi-structured, and multi-structured data can handle Big Data better than traditional relational database technology
eBay Solution did NOT integrate into a single big data center infrastucture
TRUE it didnt
From the Dow Chemical case study posted on moodle, what is TRUE?
TRUE: Dow enhances reliability with advanced analytics in JMP and is adding billions and billions in value with Six Sigma.
In the case study "Quiznos Targets Customers for Its Sandwiches," what is TRUE and what is FALSE?
TRUE: Quizno's used location-based analytics. TRUE: *Location-based behavioral* targeting can help to narrow the characteristics of users who are most likely to utilize a retailer's services or products. FALSE: Quizno's was targeting consumers *who cut coupons from the local newspaper* and redeemed them at Subway.
In the case study "Turning Machine-Generated Streaming Data into Valuable Business Insights," what is TRUE and what is FALSE?
TRUE: The company uses *stream analytics* to *boost customer satisfaction* and competitive advantage. -work with Splunk, one of the leading analytics service providers in the area of turning machine-generated streaming data into valuable insights provided beneficial results in the areas of application troubleshooting, operations, compliance, and security FALSE: Fraud, health risks, stock trading data
Many mobile applications for real-time location intelligence now enable organizations to __________________.
Target the right customer based on their behavior over geographic locations.
In the "Big Data and Analytics in Politics" case study, what is FALSE?
The Big Data and Analysis in Politics case study makes it clear that the unpredictability of elections makes politics an *unsuitable* area for Big Data.
_____________________ have not been able to keep up with the variety and complexity of data.
Traditional data warehouses
Sabre Airline Solutions' application, called _____________, uses a _______________ that alerts the users to assess the ___________________ displayed in _____________. Using this, airline personnel can easily _______________ and ____________________.
Traveler Security Geospatial-enabled dashboard Risks across global hotspots Interactive maps Find current travelers and respond quickly in the event of any travel disruption.
Big Data plus "big" analytics yields ____________.
Value
One of the V's in Big Data that is associated mostly with stream analytics is what?
Velocity
Why do companies say you should *evangelize* in order to succeed with Big Data?
With the backing of one or more executive sponsors, future business graduates from LSU E.J. Ourso College of Business like yourself can get the ball rolling and instill a virtuous cycle: The more departments in your organization realize actionable benefits, the more pervasive analytics become across your organization. Fast, easy-to-use visual analytics is the key that opens the door to organization-wide analytics adoption and collaboration.
Big Data by itself, regardless of the size, type, or speed, is ___________ unless business users do something with it that delivers value to the organization.
Worthless
eBay's success requires
ability to turn enormous volumes of data it generates into useful insights about customers- needs Big Data
Why do companies say you should *visualize* in order to succeed with Big Data?
according to leading analytics research companies like Forrester and Gartner, enterprises find advanced data visualization platforms to be essential tools that enable them to monitor business, find patterns, and take action to avoid threats and snatch opportunities
What does it take to become a data scientist through LSU?
an ISDS Masters of Science in Analytics
In the case study "A Life Coach in Your Pocket," it was stated that Kaggle (kaggle.com) is a platform that hosts competitions and research for predictive modeling and ____________.
analytics
Depending on historical demand and current events, ParkPGH
app is able to provide information on which lots will have free space by the time the driver gets to the destination
From the Dow Chemical case study, what were the results
as Dow transitions from traditional manufacturer to solutions provider, JMP has become essential tool for analyzing and presenting data sharing it in collaboration with colleagues and customers and using it to project new initiatives
"Top 5 Investment Bank Achieves Single Source of the Truth," benefit of supplanting multiple DBs by new trade operational store was providing real-time access to trading data
benefitted from moving old disparate systems to a unified system that could achieve single version of the truth by Big Data infrastructure
Why do companies say you should *integrate* in order to succeed with Big Data?
blending data from disparate sources for your organization is an essential part of Big Data Analytics Organizations that can blend different relational, semi-structured, and raw data sources in real time, without expensive up-front costs, are the ones that get the best value from Data.
In the realm of Big Data, __________________ is a method of capturing, tracking, and analyzing streams of data to detect events (out of normal happenings) of certain types that are worthy of the effort.
critical event processing
geospatial mapping gives og&e
easy way to narrow down specific customers in geo region based on meter usage
Big Data Analytics can help predict
election outcomes as well as targeting potential voters and donors (become critical part of political campaigns)
Great Clips is using _______________ to help analyze the locations based on the requirements for a potential customer base, demographic trends, and sales impact on existing franchises in the target location.
geospatial analysis
Why do companies say you should *simplify* in order to succeed with Big Data?
hard to keep track of all of the new database vendors, open source projects, and Big Data service providers will be even more crowded and complicated in the years ahead.
Data scientist positions are in ______ demand and are offered with very ______ salaries and very ______ expectations.
high; high; high
Of the 6 V's that define big data, what is *velocity*?
how fast data is being produced and how fast the data must be processed (i.e., captured, stored, and analyzed) to meet the need or demand RFID tags, automated sensors, GPS devices, and smart meters are driving an increasing need to deal with torrents of data in near-real time.
Kaggle.com had a recent competition aimed at
identifying muscle motions that may be used to predict Parkinson's progression (objective: identify markers that lead to prediciting disease progression) app tech and analytics come together for useful/relevant info
Yes, the U.S. military does benefit from _____________ analytics.
location-based
Most Big Data is generated by ______________.
machines
Reality mining is useful in ______________________.
marketing promotional campaigns
From the Oklahoma Gas and Electric case study, using geospatial mapping and visual analytics, og&e views
near real-time data about energy-efficent prospects spread over geographical areas and comes up with marketing initatives most suitable for them
og&e can also find through geo mapping
noncommunicating smart meters, track outages, and weather overlay of services
eBay is the world's largest ______________________.
online marketplace industry
What is CERN, and why is it important to the world of science?
plays leading role in fundamental studies of *physics* instrumental in many key global innovations and breakthrough discoveries in theoretical physics and today operates the *world's largest particle physics laboratory* sits astride Franco-Swiss border near *Geneva, Switzerland*
Predictive analytics is beginning to enable development of software that is directly used by a consumer. One key concern in employing these technologies is the loss of __________.
privacy
What is data stream mining?
process of extracting novel patterns and knowledge structures from continuous, rapid data records
Reality mining builds on the idea that real-time location information = ?
real-time insight
challenges of BD analytics
skill availability (data scientists in short supply)
A use case in the energy industry for stream analytics is a classic ____________ application for the electric power supply chain.
smart grid
Dublin City's picture of traffic gave operators ability to see
system as a whole instead of just individual corridors
Quiznos *Location-based behavioral* targeting can help to narrow the characteristics of users who are most likely to utilize a retailer's services or products typically
tech-savvy and busy consumers of company in question
In the case study "Turning Machine-Generated Streaming Data into Valuable Business Insights," regarding the U.S. telecommunications company, the use of stream analytics via dashboards has helped to improve the effectiveness of the company's
threat assessments and security monitoring
From the Dow Chemical case study, what was the challenge
to turn data into knowledge that ensures the reliability of products, fosters innovation and informs decisions
The ___________ means for capturing, storing, and analyzing data are not capable of dealing with Big Data effectively and efficiently and so a new breed of technologies are needed to take on the Big Data (developed or purchased, or hired or outsourced).
traditional
For the Dublin case, Big Data Analytics were used primarily to ease ______________ and better understand the _____________.
traffic problems; traffic network
