ISDS final- chapter 7 – Flashcards
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geospatial analytics
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a critical emerging trend in analytics is the incorporation of location data
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Geaospatial data
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is the static location data used by these location based analytic applications - location information from mobile phones can be used to create profiles of user behavior and movement
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geocoding
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uses visual maps, postal codes, latitude and longitude. these enable aggregate views of a large geographic area which is poor granularity
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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
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a) *The rich, detailed granularity of using postal codes has vast potential to pinpoint the growth opportunities of individual customers. Note: This is a false statement because postal codes are not detailed enough information to find 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.
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geographic information system (GIS)
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used to capture, store analyze and manage the data linked to a location - combined with integrated sensor technologies and GPS
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location intelligence
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interactive maps that further drill down to details about any location
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location + demographic details data can help retailers
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1. determine how sales vary by population level 2. assess locational proximity to other competitors and their offerings 3. assess the deamdn variations and efficiency of supply chain operations 4. analyze customer needs and complaints 5. better target different customer segments
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How does the US military benefit from location based analytics?
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1. track the information about the type of aircraft 2. maintenance history 3. complete list of crew, equipment and supplies on the aircraft 4. location of the aircraft 4. well informed decisions for global operations
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reality mining
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specialized data mining of location based data. real time location information= real time insight. - useful in marketing promotional campaigns
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path intelligence
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a British company developed a system, footpath that ascertains how people move within a city or even within a store. - uses reality mining, locations analytics and shopper insights.
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footpath
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automatically tracking movement without any cameras recording the movement visually analysis can help determine the best layout for the store, shopping mall or public transportation options. legal according to privacy regulators globally
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real time location intelligence
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targeting the right customer based on their behavior over geographic locations
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analytics application for consumers
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explosive growth of the apps industry directly used by consumers not businesses enabling consumer to become more efficient the demand and the supply for consumer oriented analytic apps are increasing
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CabSense
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is an app for consumers to use in finding a taxi in New York City. rating of street corners using interactive maps.
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ParkPGH
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app for finding real time parking for downtown Pittsburgh. capable of predicting future parking availability depending on historical demand and current events.
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recommender systems
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web based information filtering system that takes the inputs from users and then aggregates the inputs to provide recommendation for other users in their product or service selection choices. recommendation engines are a huge success for retailer line amazon
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structured data
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ratings/rankings
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unstructured data
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textual comments
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the web 2.0 revolution and online social networking
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web 2.0 is related to analytics. changing the web from passive to active. consumer is the one that creates the content and user created content is growing
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what is the objective of web 2.0?
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enhance creativity, information sharing and collaboration.
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cloud computing
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originates from a reference to the internet as a "cloud" and is a combination of several information technology components as services. - a style of computing in which dynamically scalable and often virtualized resources are provided over the internet - users need not have knowledge of, experience in, or control over the technology infrastructures in the cloud that supports them
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web based email as a cloud computing application
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centralized hardware/software/infrastructure centralized updates/upgrades
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cloud computing is used in
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ecommerce, BI, CRM, SCM
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service oriented thinking
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one of the fastest growing paradigms today building toward agile data, information and anlytics capabilities as services
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component based service orientation fosters
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reusability, substitutability, extensibility (not originality)
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Data-as-a-service (DaaS)
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one of the three major service models that underlie the service oriented DSS/BI accessing data "where is lives" enriching data quality with centralization
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Information as a service (IaaS)
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"information on demand" foal is to make information available quickly (agility) - provides a single version of the truth, reduce (not increase) proliferating redundant data and the time it takes to build and deploy new information services.
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Analytics-as-a-Service (AaaS)
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"agile analytics" AaaS in the cloud has economies of scale, better scalability and higher cost savings.
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impacts of analytics in organizations
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new organizational units restructuring business processes and virtual teams job satisfaction job stress and anxiety
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Business process reengineering
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major restructuring of organizational business processes with respect to changes in organizational culture and new information technology initiatives being undertaken by an organization.
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when new analytics applications are introduced and affect multiple related processes and departments the organizations is best served by utilizing
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business process reengineering
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research into managerial use of DSS and expert systems found managers
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1. spent more of their time planning 2.saw their decision making quality enhanced 3. were able to devote less of their time "fighting fires" 4. spent less time in the office and more time in the field 5. gained more power and they gained more information and analysis capabilities.
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key concern of predictive analytics
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loss of privacy
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dynamic segmentation
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refers to 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 customer to be targeted with specific marketing campaigns
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why perform consumer analytics?
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helps a company's customers make better purchasing and usage decisions. OG&E is NOT using it to help increase energy usage to regain company profits and ultimately to accelerate their need to build new fossil fuel generation plants.
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how is geospatial analytics employed at Great Clips?
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great clips is NOT using dynamic segmentation. they use geospatial analysis to help analyze the locations based on the requirements for potential customer base.
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How can location based analytics help retailers in targeting customers?
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can help to narrow the characteristics of users who are most likely to utilize a retailers services or products. Quiznos"s was NOT targeting consumers who cut coupons from the local newspaper an redeemed them at subway.
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a life coach in your pocket
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this case study was NOT about consumer entertainment when using apps
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T/F in the great clips case study, the company uses geosptial data to analyze, among other things, the types of haircuts most popular in different locations
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FALSE
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T/F in the life coach study, Kaggle recently hosted a competition aimed at identifying muscle motions that may be used to predict the progression of Alzheimers disease
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TRUE
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T/F content based filtering approaches are widely used in recommending textual content such as new items and related web pages
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TRUE
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T/F Data-as-a-service began with the notion that data quality could happen in a centralized place, cleansing and enriching data and offering it to different systems, applications, or users, irrespective of where they were in the organization, computers, or on the network.
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TRUE
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T/F IaaS helps provide faster information, but provides information only to managers in an organization.
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FALSE
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What kind of location based analytics is real time marketing promotion?
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organization-oriented location based dynamic approach
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GPS navigation is an example of which kind of location based analytics?
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consumer-oriented geospatial static approach
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components in a service oriented DSS environment
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information technology as enabler process as beneficiary people as user
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Which component of service-oriented DSS can be defined as data that describes the meaning and structure of business data, as well as how it is created, accessed, and used?
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Metadata management
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Which component of service-oriented DSS can be described as a subset of a data warehouse that supports specific decision and analytical needs and provides business units more flexibility, control, and responsibility?
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data marts
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Which component of service-oriented DSS can be described as optimizing the DSS environment use by organizing its capabilities and knowledge, and assimilating them into the business processes?
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information services with library and administrators
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Which component of service-oriented DSS includes such examples as optimization, data mining, text mining, simulation, automated decision systems?
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analytics
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Which of the following is true of data-as-a-Service (DaaS) platforms?
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there are standardized processes for accessing data wherever it is located
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Which of the following is considered the economic engine of the whole analytics industry?
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analytics user organizations
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In the opening vignette, the combination of filed infrastructure, geospatial data, enterprise data warehouse, and analytics has enabled OG&E to manage its customer demand in such a way that it can optimize its ________ investments.
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long-term
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A critical emerging trend in analytics is the incorporation of location data. ________ data is the static location data used by these location-based analytic applications.
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geospatial
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The surge in location-enabled services has resulted in ________ mining, the analytics of massive databases of historical and real-time streaming location information.
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reality
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redictive 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 ________.
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privacy
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________ promises to eliminate independent silos of data that exist in systems and infrastructure and enable sharing real-time information for emerging apps, to hide complexity, and to increase availability with virtualization. Answer: Information-as-a-service
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information as a service
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A major structural change that can occur when analytics are introduced into an organization is the creation of new organizational ________.
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units
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When an organization-wide, major restructuring is needed, the process is referred to as ________.
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reengineering
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Location information from ________ phones can be used to create profiles of user behavior and movement.
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mobile/cell
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southern States Cooperative used analytics to prepare the customized catalogs to suit the targeted ________ needs, resulting in better revenue generation.
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customer
