Citation

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

Publisher

:

Emerald Publishing Limited

Copyright © 2021 Emerald Publishing Limited

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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