Index
- Accident risk
- Accuracy
- Action delay
- Additional supporting technologies
- Adverse events avoidance
- Airlines
- Ambiguity, legal and ethical
- Analysis value versus technology value
- Analytic approach, examples of
- Analytics
- analytics approaches comparison
- control of
- creating operational analytics process
- focusing efforts in
- versus information technology (IT)
- lessons from the past
- new analytics expansion disciplines
- operational applications of
- prescriptive
- summary
- Analytics 2.0
- Analytics 3.0
- Big Data analytics
- operational analytics with
- traditional analytics
- unified analytics
- Analytics approaches comparison
- discovery versus confirmatory analysis
- operational scale hardening process
- research and development
- Analytics as goal
- Analytics certification
- Analytics culture:
- mind-set instillation
- success facilitation
- summary
- Analytics disciplines
- Analytics embraced top down
- Analytics made operational
- Analytics organization:
- major shifts
- organizing
- staffing
- succeeding
- Analytics organizations
- Analytics platform
- Analytics platform creation:
- about
- building
- planning
- Analytics process consistency
- Analytics processes:
- basic
- batch
- building
- effective
- initial
- new
- traditional
- Analytics products impact
- Analytics professionals
- Analytics professionals value
- Analytics sandbox
- Analytics starting point
- about
- choosing what works best
- never say can't!
- right mix focus
- Analytics teams
- Anchoring, concept
- Any analysis, any data, any time
- Approach:
- analytics versus applications
- batch versus operational
- central versus decentralized
- combination of
- consistency of
- of credit card companies
- customized
- hype of
- in memory
- non-relational
- nonstatistical
- organized
- personal security
- perspective versus prescriptive
- selection of
- simple
- soft
- traditional
- tuning
- See also Hadoop
- Ariely, Dan
- Arthur, Lisa
- Artistry
- Assumptions
- Attrition
- Automate This: How Algorithms Came to Rule Our World, (Steiner, C.)
- Automobiles
- Back to the future
- Banks
- Batch analytics processes
- Batch mode
- Batch process
- Batch to operational analytics
- Behavior change
- Big Brother
- Big data:
- maturity curve
- sources
- trends
- Big data analytics
- Big data and big brother
- Big data bubble
- Big data definition
- Big data in context
- about
- back to the future
- different data
- global phenomenon
- maturity curve
- multiple dimensions scale
- value from
- summary
- Big Data Marketing: Engage Your Customers More Effectively and Drive Value, (Arthur, L.)
- Big data preparation
- big data tidal wave
- data retention
- Internet of Things (IOT)
- new information
- new questions
- Big data tidal wave
- Big data trends
- big data in context
- big data preparation
- hype about
- “Big Data: What Does It Really Cost?” (Winter, R.)
- Big picture
- Boeing
- Budget
- Building
- complex event processing technologies
- discovery pillar
- embedded analytic libraries
- fabric-based computing
- graphic processing unit appliances
- in-memory appliances
- nonrelational pillar
- pillars of united analytics environment
- relational pillar
- using
- summary
- Burtch Works
- Business case:
- for analytics
- decision criteria choice
- forced
- framework to consider
- priorities setting
- winning tips of creating
- summary
- Business case winning tips:
- business case forced
- doing it right
- option selection care
- starting small
- uncertainty acceptance
- Business changes
- Business changes through operational analytics:
- analytics as goal
- analytics products impact
- Business intelligence
- Business model
- Business problem first
- Business processes
- Business sponsors
- Business unit support
- Call center
- Call center performance improvement
- Certified Analytics Professional (CAP) program
- Change, resistance to
- Chief analytics officer (CAO)
- Chief data officer (CDO)
- Chief information officer (CIO)
- Choosing what works best
- Churn analysis
- Churning
- CIO
- confidential
- monetization
- Clinical trial
- Cloud, privacy and security
- Cloud and cloud architecture
- Cloud architecture
- Cobol
- Codes
- Complex event processing (CEP)
- algorithm
- Complex event processing technologies
- Compliance issue
- Component addition
- Computerized stock trading
- Computerized trading
- Concepts:
- analogy of
- analytics
- analytics, classic
- Analytics 3.0
- of analytics sandbox
- of anchoring
- in big data strategy
- in business case
- business intelligence
- of clouds
- to cut hype
- decay rates
- of dynamic customer strategy
- early adoption of
- of enterprise data warehouse (EDW)
- of fabric-base system
- and frameworks
- of gamification
- history of
- insight
- on Internet of Things (IOT)
- of mixed workloads
- new as driver
- number of
- proof of concept (POF)
- of reversing data
- of sampling
- security service
- sensors
- versus specific case
- supporting operational analytics in perspective
- of test group
- of testing and experimental design
- underlying
- understanding
- See also Discovery pillar; Monte Carlo simulation
- Confirmatory analysis
- Consultants, external
- Consultants, mentors and coaches
- Contestants
- Control, loss of
- Corporate culture
- Costs:
- accounting for
- all over time
- assumptions of
- of autos
- versus benefits
- cheapest option
- of collecting
- components of
- critical components of
- of data source
- focus on labor versus processing
- of game show winnings
- justification of
- of labor
- maintenance
- of manufacturers
- of models
- over time
- overlooked components
- per unit
- real
- saving
- in skills
- total
- total for operational analytics
- of unknowns
- warrantee
- of workarounds
- Coursera
- Covering all bases
- Creating operational analytics process:
- analytics process consistency
- from batch to operational analytics
- operational analytics
- Creativity
- Credit card data
- Credit history
- Crime patterns
- Crop yields
- Crop yields and sensor data
- Cross Industry Standard Process for Data Mining (CRISP-DM) model
- Cross-functional team
- Cultural aspects
- Cultural change
- Cultural issues
- Culture, organizational
- Customer experience improvement
- customer service upgrade
- customer transparency
- Disney magical moments
- online experience improvement
- Customer service upgrade
- Customer transparency
- Data
- model and structure
- volume of
- Data artists
- Data collection
- Data error
- Data expiration
- Data outliers
- Data preparation
- Data quality
- Data quality and timeliness
- Data retention
- Data scientists
- Data security policies
- Data storage
- Data structures
- Data types
- Data value, collection versus analysis
- Data value discovery
- about
- crop yields and sensor data
- location data for traffic upgrades
- sales and compliance data
- strategic analytics creation
- Data warehousing
- Davenport, Tom
- Decay rates
- Decision criteria choice
- about
- analysis value versus technology value
- big picture
- operationalize ability
- time to insight
- Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics (Taylor, J.)
- Decision time
- Decisions, small and tactical
- Decision-time processing
- Defining analytics disciplines
- Delegation of authority
- Descriptive analytics to predictive analytics
- Diabetes
- Different data
- Different platforms and strengths
- Different requirements
- Differentiators
- Differentiators target
- Direct mail campaign
- Discovery analysis
- on salaries
- unique
- use of
- Discovery analytics
- Discovery effort
- Discovery environment
- Discovery pillar
- Discovery platform versus discovery environment
- Discovery platforms
- Discovery processes
- Discovery versus confirmatory analysis
- Diseases
- Disney company
- Disney magical moments
- Displays
- Do what is right today
- Doing it right
- Driverless cars
- Dynamic Customer Strategy: Big Profits from Big Data (Tanner, J.)
- Early adopters
- Early attrition
- Early inducements
- Early influencers
- E-commerce
- Education industry
- Effectiveness criteria
- E-mail, free
- E-mail provider
- Embedded analytic libraries
- End users and data storage locations
- Enterprise data warehouse (EDW)
- Enterprise resource planning (ERP) systems
- Error rate
- Error(s)
- acceptable
- data
- fear of
- inevitable
- margin
- slight
- Ethical standards
- Execution time
- Exploratory analysis
- Extensible Markup Language (XML)
- External cloud
- External resources leverage
- Fabric-based computing
- Facial recognition
- Failure, dealing with
- Failures
- impersonal
- through ignorance
- Failures, enabling and handling the right
- failures, impersonal
- failures, through ignorance
- idea testing
- Fear of error
- FedEx
- Filtering
- Flash Crash of 2010
- Focus
- Focusing efforts in analytics
- judgment
- questions and assumptions
- Follow through
- Forecast accuracy
- Forecasting
- Format
- Foundational analytics
- Framework to consider
- about
- cost, per unit
- costs, all over time
- costs, of game show winnings
- costs, overlooked components
- costs, total for operational analytics
- hotel rates
- issues changing formula
- scalability
- Fraud checks
- Fraud rate
- Fuel efficiency
- Fuel efficiency improvement
- FuelBand
- Future lives improvement
- health
- time freeing
- Future of privacy policies
- Fuzzy Logix
- Gamification
- Gartner, 35
- Gas turbines
- Genetic data (DNA data)
- Geospatial analysis
- Glitches
- Global phenomenon
- Goal:
- achieving
- broad
- different
- and governance
- meeting
- right
- specific
- Goldbloom, Anthony
- Good versus perfect
- Governance
- Governance and privacy
- about
- governance preparation
- governing operational analytics
- summary
- Governance preparation
- 1984 lesson
- analytics starting point
- internet of things (IOT)
- partnership
- security clearance model
- Governing operational analytics
- different requirements
- discovery platform versus discovery environment
- monitoring operational analytics
- privacy
- time to insight versus execution time
- Governmental safety
- GPS
- Graph analysis
- Graphic processing unit appliances
- Graphics processing units (GPUs)
- Hackathorn, Richard
- Hadoop
- Harvard Business Review blog
- Health
- Healthcare
- Hive
- Hotel rates
- Human intervention, actions without
- Human resources (HR)
- Hybrid model evolution
- Hype
- around social media analytics
- versus reality
- Hype about big data trends
- big data bubble
- big data definition
- perspective
- Hype points
- Hypothesis
- Idea testing
- Ideas, new
- Incentives
- Incentives costs
- Indecision
- Infiniband technology
- Informatica
- Information:
- control over
- graph analysis
- location
- new
- old
- sensitive
- social media
- speed
- top secret
- Information technology (IT)
- Inherent value
- In-memory appliances
- Insights
- Institute for Operations Research and the Management Sciences (INFORMS)
- Internal Revenue Service (IRS)
- Internal sources
- International Air Transport Association (AITA)
- International Institute for Analytics (IIA)
- Internet bubble
- Internet of Things (IOT)
- Investing for discoveries
- Investment, in analytics
- Investment approach
- Investments
- Issues changing formula
- IT shifting from serving to enabling
- IT team
- Java
- JavaScript Object Notation (JSON)
- Judgment
- Justification
- Kaggle
- Key influencers
- Keyword optimization
- Khan Academy
- Labor costs
- Latency
- Learning from fleas
- Legal and ethical ambiguity
- Legal limitations
- Legal standards
- Lessons from the past
- operational analytics solutions
- overcomplication of analytics
- sampling
- statistical methods relevance
- Leverage
- Linear programming approach
- Location data for traffic upgrades
- Location information
- Machine learning
- MagicBands
- Mainframes
- Major shifts
- Management expectations
- Mapping data
- Market trends
- Marketing
- Marketing campaign preparation
- Maturity curve
- Maximizing retention
- Measure of confidence
- Medical data
- Medical histories
- Microdecisions
- Mind-set, small shifts
- Mind-set instillation
- about
- analytics embraced top down
- analytics professionals value
- behavior change
- learn from fleas
- policies, implement effective
- resistance and pushback
- Mind-sets
- Mistake(s)
- Models/modeling:
- business
- central versus decentralized
- complex
- data
- datasets
- decentralized
- hybrid
- modern
- predictive
- risk
- statistical
- support
- Monitoring
- Monte Carlo simulation
- Multidiscipline analytics
- Multidiscipline analytics in-action
- Multiple pillars
- Neonatal intensive care unit (NICU)
- Netflix
- Never say can't!
- New analytics expansion disciplines:
- about
- defining analytics disciplines
- multidiscipline analytics
- multidiscipline analytics in-action
- New information
- New York Times
- Newspeak plan
- Next best offer
- Nike
- Nike Fuel Band
- Nonlinear programming
- Nonlinear programming approach
- Nonrelational pillar
- Nonrelational platforms
- North Carolina State University (NCSU)
- “Obsession with Quality at Western Digital Corporation” (Hackathorn, R.)
- Old school and new school
- Online experience improvement
- Open source technologies
- Operational analytics
- about
- Analytics 3.0
- automated
- and batch processes
- business changes through
- defining
- scale of
- summary
- Operational analytics, defining:
- differentiation of
- operational analytics
- uniqueness of
- Operational analytics in action
- about
- customer experience improvement
- data value discovery
- future lives improvement
- operational efficiency improvement
- safety
- time impact
- summary
- Operational analytics in perspective:
- concepts supporting
- creativity and
- data quality and timeliness
- Operational analytics solutions
- Operational constraints
- Operational efficiency improvement
- call center performance improvement
- fuel efficiency improvement
- power capture maximization
- power generation maximization
- Operational scale hardening process
- Operationalize ability
- Operationalizing discoveries
- Optimal process
- Optimization
- Option selection care
- Organizational structures
- Organizing
- chief analytics officer
- chief data officer
- cross-functional team
- hybrid model evolution
- recommended structure
- standard structure
- Outsourcing
- Overcomplication of analytics
- Ownership, of solution design
- Parallel processing
- Parallel relational database platforms
- Parallelism
- Parameter estimates
- Partnership
- Passengers
- Path analysis
- Patterns of failure
- Pay rates
- Performance history
- Personalization
- Perspective
- Physical discovery platform, versus logical discovery environment
- Pillars of united analytics environment
- Pilot
- Pilot program
- Plagiarism software
- Planning:
- analytics made operational
- component addition
- different platforms and strengths
- do what is right today
- Point-of-sale (POS) data
- Policies, data security
- implement effective
- IT shifting from serving to enabling
- mind-set, small shifts in
- proper planning ensurance
- Power capture maximization
- Power generation maximization
- Power plants
- Precomputing customization
- Predictably Irrational (Ariely, D.)
- Predictive maintenance
- Predictive policing
- Priorities setting
- business problem first
- differentiators target
- returns focus
- Privacy
- big data and big brother
- control of
- future of privacy policies
- privacy Catch 22's
- setting privacy standards
- Privacy Catch 22's
- Privacy considerations
- Privacy issue
- Privacy laws
- Privacy policy
- Privacy violations
- Private cloud
- Private policies
- Problem solving
- Problems, avoiding
- Processing speed
- Product freshness
- Product versus data collection
- Production requirements versus discovery
- Programming languages
- Project sponsor
- Proof of concept (POF)
- Proper planning ensurance
- Prototype models
- Public cloud
- Public relations (PR)
- Public standards
- Push
- Pushback
- Pushing
- Python
- Questions
- new
- old and new
- Questions and assumptions
- R experts
- R language
- Radio-frequency identification (RFID) sensor
- Real time
- Real-time processing
- Recommendation engine
- Recommended structure
- Referee thinking
- Resistance and pushback
- Relational pillar
- Relationship database
- Relationship database pillar
- Relationship database vendors
- Research and development (R&D)
- Return on investment (ROI)
- Returns focus
- Right mix focus
- Route optimization analytics
- Ruh, Bill
- Safety
- adverse events avoidance
- governmental
- product freshness
- Salary study
- Sales and compliance data
- Sampling
- SAS
- SAS Institute, Semma model
- Scalability
- Scale
- about
- large
- in multiple dimensions
- multiple dimensions
- small
- Scaling
- Security, through analytics
- Security clearance
- Security clearance model
- Security protocols
- Self-driving cars
- Semi-structural formats
- SenseAware
- Sensitivity analysis
- Sensor data
- Sensors
- embedded
- human
- railroad
- Servers
- Setting privacy standards
- Simple options
- Simulations risk. See also Monte Carlo simulation
- Skill sets
- Small batch testing
- Small-scale, tests
- Social media
- posting
- Social media data
- Social network analysis
- Social networks
- Social media analytics
- Social media data
- SQL. See Structured Query Language (SQL)
- Staffing
- analytics certification
- analytics professionals
- covering all bases
- internal sources
- maximizing retention
- old school and new school
- talent crunch solution
- Stakeholders
- Standard structure
- Starting small
- Statistical methods relevance
- Statisticians
- Statistics
- Steiner, Christopher
- Storage
- Storage location
- Strategic analytics creation
- Streaming data
- Structure:
- central reporting
- data
- decentralized
- different
- hybrid
- organizational
- recommended
- row and column
- standard
- Structured Query Language (SQL)
- Students
- Succeeding
- consultants, mentors and coaches
- external resources leverage
- follow through
- incentives costs
- management expectations
- referee thinking
- summary
- Success facilitation
- early adopters and influencers
- failures, enabling and handling the right
- marketing campaign preparation
- unexpected value search
- Summary metrics
- Talent Analytics
- Talent crunch solution
- Taming the Big Data Tidal Wave (Franks)
- Tanner, Jeff
- Target
- Tax fraud
- Taylor, James
- Teams
- business
- IT
- sales and compliance data. See also analytics teams
- Technologies
- additional supporting
- processing
- traditional
- wearable
- Test group:
- of assumptions
- concepts of
- confidence factors
- diligence in
- of new logic
- range of
- rapid
- Test operational analytics
- Test-and-learn environment
- Testing:
- coding and
- date available for
- of engines
- information versus methodology
- labor costs of
- prioritizing
- Tests, small-scale
- Text analytics
- Text data
- The Data Warehousing Institute (TDWI)
- The Price Is Right
- Themes
- TIBCO
- Time freeing
- Time impact
- computerized stock trading
- security through analytics
- Time sensitivity
- Time to insight
- Time to insight versus execution time
- Tool sets
- Tool value
- Tools
- analytics
- choosing
- for discovery processes
- Total cost
- of data (TOCD)
- of operational analytics
- Total Cost of Data (webinar)
- Trade-offs
- Traditional analytics
- Traditional batch analytics
- versus operational analytics
- Trains
- Tuning approach
- Uncertainty
- Uncertainty acceptance
- Unexpected value search
- Unified analytics
- United States National Security Agency (NSA)
- Validation data
- Value
- “Volume, Variety, Velocity” framework
- Weakness
- Web customization
- Wind turbines
- Winning tips of creating
- Winter, Richard
- Workarounds, costs of
- Workflow model
- Zhang, Simon
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