Index

Application of Big Data and Business Analytics

ISBN: 978-1-80043-885-9, eISBN: 978-1-80043-884-2

Publication date: 4 December 2020

This content is currently only available as a PDF

Citation

(2020), "Index", Kumari, S., Tripathy, K.K. and Kumbhar, V. (Ed.) Application of Big Data and Business Analytics, Emerald Publishing Limited, Bingley, pp. 177-183. https://doi.org/10.1108/978-1-80043-884-220211011

Publisher

:

Emerald Publishing Limited

Copyright © 2021 Emerald Publishing Limited


INDEX

Index

Note: Page numbers followed by “n” indicate notes.

Aadhaar
, 129, 131–132

absence of clear redressal mechanisms
, 134

benefits of Aadhaar scheme
, 132–133

benefits to government
, 133

benefits to individuals
, 133

card
, 128

challenges to
, 133–134

chronology
, 129–132

initial phase
, 129–140

linking with PAN
, 134

mandatory vs. voluntary
, 134

privacy and surveillance
, 133–134

scheme
, 127–128, 130–131

Aadhaar Act
, 131–132, 134

Acacia saw dust
, 33

Activated carbon (AC)
, 34

Agency for Toxic Substances and Disease Registry (ATSDR)
, 31

Agricultural exports
, 81

Agriculture production
, 2

Analysis of Variance (ANOVA)
, 94n3

Arc GIS
, 48–49

ARIMA model
, 90

Artificial intelligence
, 98

Attractive markets
, 105–106, 108

Augmented Dickey Fuller test
, 66

AutoCAD
, 48

Automobile industry
, 62

AutoRegressive Moving Average model (ARMA model)
, 60, 62–64, 77

modeling results
, 66–72

B2C
, 140

Batch equilibrium studies
, 32–33

Behavioral segmentation
, 142

Big basket
, 85, 96

Big Data, 3, 105 (see also Data management)

applications in fruits and vegetable sector
, 83–85

business segments using
, 81–83

use in various sectors
, 82

Big data analytics applications

approaches for reducing post-harvest losses
, 95–99

domestic demand and consumption
, 85–93

Jain Farm Fresh
, 93–94

onion scenario
, 85

Biodegradation process
, 38

Biological treatment systems (see Bioremediation)

Biomass
, 28–29

Biomaterial
, 28

Bioremediation
, 28

Biosorbents
, 28

Biosorption
, 29, 38

Bombay Stock Exchange (BSE)
, 51

Boron
, 8

Box–Jenkins approach
, 63

Business analytics, applications associated with
, 57

Business segments using big data
, 81–83

Business-to-business (B2B)
, 96

Cadmium (Cd)
, 26

Central Depository Services (India) Ltd (CDSL)
, 52

Cereals
, 17

Chemical leaching
, 38

Chromium (Cr)
, 26

Coca-Cola
, 84–85, 93

Coconut husk (CH)
, 33

Cognitive ability test
, 92

Collection
, 95

Compound annual growth rate (CAGR)
, 104

Constant annual growth rate (CAGR)
, 114

Constant market share analysis
, 105–106

Constitutionality
, 128

Conventional physical–chemical methods
, 37–38

Copper (Cu)
, 6, 8, 26

Cotton
, 103–104

export competitiveness
, 122

CoverTree index structure
, 141

Crofarm
, 96

Crop mapping
, 2

Crop yield, soil parameters importance for
, 4–6

Cropin
, 96–97

Cropping pattern of Satara district
, 16

Customer lifetime value
, 141

Customer relationship management
, 139

Customer segmentation
, 139–143

annual loyalty card utilization rates
, 151

data
, 148–155

on fuel company
, 146–155

information
, 147

literature review
, 141

methodology
, 143–146

reward and invest
, 146–147

RFM
, 147–148

solutions and recommendations
, 155–157

Data

input
, 46

presentation
, 47

protection
, 130, 136

storage
, 46

Data analytics

comparative study of soil properties
, 8–15

cropping pattern of Satara district
, 16

descriptive statistics
, 7

importance of soil parameters for crop yield
, 4–6

literature review
, 3–4

mapping of soil parameters with crops
, 16

and modeling
, 47

research methodology
, 6

research objective and scope
, 5–6

Data management
, 81, 127

benefits of Aadhaar scheme
, 132–133

challenges to Aadhaar
, 133–134

chronology of Aadhaar
, 129–132

K. S. Puttaswamy v. Union of India
, 135–137

research objectives
, 128–129

review of literature
, 128

Database
, 46, 48

Dehydrated onions
, 86

Dehydration process
, 86

Demand forecasting
, 82

models
, 60

Dematerialization (DEMAT)
, 50

applications/advantages
, 55–57

conceptual framework for
, 52–54

in India
, 51–52

of land and use of data analytics
, 50–54

policy for implementation
, 54–55

short-term problems/special efforts
, 57

Demographic segmentation
, 143

Differential evolution algorithm
, 141

Digitization
, 54

of landbank
, 51

Dispute Resolution Committee (DRC)
, 55

Disputes
, 42, 45

Distribution centers
, 95–96

Domestic demand
, 85–93

Drivers for spoilage
, 81

Drone
, 97–98

Econometric modeling
, 60

Electrical and electronic equipment (EEE)
, 29

Electrical conductivity (EC)
, 4

Electronic waste (E-waste)
, 29

extraction of silver metal complex from
, 37–40

results, interpretation, and model description
, 39–40

three-tier combined processes
, 38–39

End-of-life (EOL)
, 29

Euro interbank
, 62

European Union (EU)
, 29

Exchangeable sodium percentage (ESP)
, 16

Existing trade indicator
, 110

Export competitiveness
, 105, 122

Export Penetration Index (EPI), 106, 112 (see also Import Penetration Index (IPI))

for HS 4& HS 6 codes
, 106–108

of India’s major cotton trading partners
, 118–119, 121

Export performance index
, 107

Export potential assessment
, 106

of India’s cotton
, 122

Extract, Transform, and Load process (ETL process)
, 57

Farmer capacity
, 94

Farmer harvesting
, 95

Fast clustering algorithm
, 141

Fertilizers mapping
, 17

Fitted average growth rate (FAGR)
, 114

Fixed bed column study
, 35

Food industry
, 80

innovation in
, 98–99

Food loss
, 80

minimization in supply chain
, 85

Forecasting
, 60, 95

Fourier transform infrared spectroscopy (FTIR spectroscopy)
, 33–35

Frequency
, 144

Fruits and vegetables
, 81

big data applications in fruits and vegetable sector
, 83–85

Fulfillment center
, 95

Generalized forecast error variance decomposition (GFEVD)
, 64

Genetically modified cotton (GM cotton)
, 104

Geographic research
, 47

Geographical Information System (GIS)
, 45

applications
, 47–48

data system
, 46–47

database
, 48

evolution
, 46

GIS-based multicriteria overlay analysis
, 3–4

Geographical segmentation
, 142–143

Global population growth rate
, 79

Gold (Au)
, 26

Google search volume
, 61, 63, 65–66

Google Trends
, 60

empirical results
, 65–76

Google Trends Automotive Index
, 62

methodology
, 63–65

related research
, 61–63

Granger causality tests
, 66, 69–70, 72–74

Green Reverse Logistics
, 40

Grofers
, 96

Gross domestic product (GDP)
, 103–104

growth forecast
, 109

GSP analysis
, 144

Hazardous sludge
, 28

Heads down mapping
, 48

Heads up mapping
, 48

Health care
, 47

Heavy metals
, 26, 37

applications
, 27

Hexavalent chromium {Cr(VI)}
, 31

impact of Cr leaching
, 32

ground water with pale yellow color
, 32

loading capacities
, 34

methodology
, 32–33

results and interpretation
, 33–36

sustainable green approach for elimination of
, 31

Historical data analysis
, 85

Hotel industry
, 141

Housing finance companies (HFCs)
, 51

Human resource planning
, 92

Import Penetration Index (IPI)
, 106, 111

of India’s major cotton trading partners
, 116–117

Impulse response functions
, 64, 73–74

Independent sample t-test
, 7, 9–10

India
, 80

month-wise export of fresh onion
, 86

onion consumption in
, 85–86

onion production in
, 86

onion seasons in
, 88

Indian agriculture planning
, 1–2

Infrastructure
, 94

Innovation in food industry
, 98–99

Integrated collaborative forecasting
, 81

International Business Machines (IBM)
, 80

International trade
, 105

findings
, 112–122

future research directions
, 122–126

methodology
, 106–112

Internet of things
, 98

Inventory analytics
, 92

Inventory management
, 85

Ion exchange
, 37–38

Iron (Fe)
, 6, 8, 26

Jain Farm Fresh
, 93–94

K. S. Puttaswamy v. Union of India
, 135

majority opinion
, 135–136

minority judgment
, 136–137

KrishiHub
, 96

Land

evaluation
, 2

parcels
, 42, 45

Land bank distribution pattern in India

average land holding per state
, 43

average land holding size in India
, 42

national distribution pattern
, 42–43

problems associated with current land titles
, 44–45

viscus circle of small land holdings
, 43

Land digitization
, 47–48

initiative by Central and State Governments in India
, 48–50

Leaching
, 31–32

Lead (Pb)
, 26

Limonia acidissima
, 33

Logistics
, 47

Low yield, causes for
, 17, 21

LRFMP model
, 141

Macronutrients
, 5, 20

Magnesium (Mg)
, 6

Man taluka
, 6

Manganese
, 8

Market(ing)
, 94

access index
, 110

attractiveness index
, 108–110

Demand Index for HS 6 codes
, 108–110

growth
, 109

segmentation
, 139–140

size
, 108–109

McCormick
, 93

McDonald
, 97

Metal biosorption
, 28

Metal sustainability, analytics in

applications of heavy metals
, 27

extraction of silver metal complex from e-waste
, 37–40

hazardous, precious constituents, and substances
, 30

permissible limits
, 27

sustainable green approach for elimination of hexavalent chromium {Cr(VI)}
, 31–37

Micronutrients
, 5, 20

Misplaced resource
, 26

Mobility
, 47

Money Bill
, 134

Multivariate geo-statistical approach
, 3

Mwarehouse
, 97

National Bank for Agricultural and Rural Development (NABARD)
, 42

National distribution pattern
, 42–43

National Horticulture Board (NHB)
, 80, 89

National Securities Depository Limited (NSDL)
, 52

National Stock Exchange (NSE)
, 51

Needs/attitudinal segmentation
, 143

Neem-coated urea
, 17n3

Nestle
, 93

Nickel (Ni)
, 26

NinjaCart
, 95–96

Nitrogen, phosphorus, and potassium (NPK)
, 5

Nitrogen (N)
, 3, 8

Nominal Protection Coefficient (NPC)
, 106, 112

Non-parametric clustering method
, 141

Nowcasting
, 60

Onion

consumption
, 85–93

monthly average wholesale price of
, 89

production in India
, 86

scenario
, 85

seasons in India
, 88

Openness Index
, 111

Ordinary least squares models (OLS models)
, 62

Organic carbon (OC)
, 3, 8

Partial least squares–structural equation modeling
, 141

Pentabromophenol
, 37

Personal digital assistant (PDA)
, 3

Personality test
, 92

pH
, 17

Phosphorus (P)
, 3, 6, 8

Pollution management
, 26

Polybrominated diphenyl ethers (PBDEs)
, 37

Post-harvest losses
, 94

core inefficiencies in post-harvest value chain leading to
, 93

at each stage of supply chain in fresh fruits and vegetables
, 83–84

at each step in onion value chain
, 94

reduction
, 83, 95–99

Potassium (K)
, 3, 6, 8

Precipitation
, 37–38

Precision agriculture approach
, 84

Precision Agriculture from Air
, 97

Price estimation
, 95

Price fluctuation in Onion
, 87

Product traceability
, 99

Product tracking
, 81

Production planning
, 59–60

Property
, 44

Proportionality
, 135–136

Radio Frequency Identification (RFID)
, 96

Real case study
, 140

Real Estate Regulatory Authority (RERA)
, 52

Recency, frequency, and monetary analysis (RFM analysis)
, 140–141, 143–145

Recovery
, 26

Registration Act (1908)
, 44

Regression analysis
, 61

Relative distance
, 110

Relative preferential tariff margin
, 110

Remedial measures for low nutrient content
, 21–22

Restaurant chains
, 99

Retailers
, 96

Revealed Comparative Advantage (RCA)
, 106

for cotton industry and major derivatives
, 113–114

growth of RCA indicator
, 107

index
, 107

Revealed Symmetric Comparative Advantage (RSCA)
, 106, 110–111

for cotton industry and major derivatives
, 113–114

RFMV model
, 141

Risk analytics
, 92–93

Robots
, 97

Saas-based sustainable program
, 97

Sales forecasting
, 60

Sales trends and predictions
, 84–85

Scanning electron microscopy (SEM)
, 33, 35

Scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS)
, 33

Securities and Exchange Board of India (SEBI)
, 55

Securitization and Reconstruction of Financial Assets and Enforcement of Security Interest Act of 2002 (SARFAESI)
, 55

Segmentation
, 142

Silver (Ag)
, 26

Six Sigma programs
, 83

Smart Agriculture practices
, 81

SmartFarm
, 97

SmartRisk
, 97

SmartSales
, 97

Soil
, 2–3

calcium
, 4–5

characteristics
, 18–19

chemical properties
, 4

copper
, 5

fertility parameters
, 5

importance of soil parameters for crop yield
, 4–6

iron
, 5

magnesium
, 5

nitrogen
, 5

nutrient maps
, 3

OC
, 4

parameters
, 16–17

phosphorous
, 5

physical properties
, 5

potassium
, 5

quality
, 2

salinity
, 4

suitability models
, 2–3

tests
, 4

zinc
, 5

Soil Health Card scheme
, 6n2

Soil total nitrogen (STN)
, 4

Soil total phosphorus (STP)
, 4

Solvent extraction
, 37–38

Spillover index
, 65, 73

Stock Keeping Unit (SKU)
, 95

Sulfur
, 8

Sumitomo Chemical Company
, 97

Supply chain

food loss minimization in
, 85

management
, 82

optimization
, 83–84

Surveillance
, 133–134

Survey
, 42, 44

Sustainable development goals (SDGs)
, 40

t-test
, 8

Target population
, 143

Tariff advantage
, 110

Tectonagrandis leaf powder
, 33

Telecom Regulatory Authority of India (TRAI)
, 55

Tesco (British grocery brand)
, 85

Tetrabromobisphenol-A (TBBPA)
, 37

Thomas model
, 35

Three-dimensional customer segmentation model
, 141

Three-tier combined processes
, 38–39

Trade balance
, 109

change in
, 109

Trade Dependence Index/Openness Index (TDI)
, 106, 111, 114

of India’s major cotton trading partners
, 115

Trade Intensity Index (TII)
, 106, 112

of India’s major cotton trading partners
, 120

Transactions
, 44, 50

Transfer of Property Act (1882)
, 44

Treatment, storage, and disposal facility (TSDF)
, 28

Unilever
, 93

Unique Identification Authority of India (UIDAI)
, 129, 134, 137

United Nations Development Program (UNDP)
, 40

Unmanned aerial vehicles (UAVs)
, 48

Urban planning
, 47

US Environmental Protection Agency (USEPA)
, 31

Value-based segmentation
, 142

Variable description
, 65–66

Vector AutoRegression model (VAR model)
, 60, 64–65, 77

modeling results
, 72–76

Volume, velocity, variety, and veracity (Four Vs)
, 80

WalMart
, 97

Water Hyacinth (Eichhornia crassipes)
, 38, 40

Waycool
, 96

Welfare program
, 128, 133

Wood apple shell powder (WASP)
, 33, 36

Workforce analytics
, 92

Working capital analytics
, 92

World Demand Index
, 108

X-ray diffraction (XRD)
, 33, 35

Yoon Nelson model
, 35

Zamindari system
, 44

Zinc (Zn)
, 6, 8, 26