Page 219 - Building Big Data Applications
P. 219

Index





                 ‘Note: Page numbers followed by “f” indicate figures, “t” indicates tables.’

                 A                                             customer behavior analysis, 138
                 Analytics visualization, 116e117, 117f        customer demographics variables, 141
                 Ansible, 188                                  customer dissatisfaction, 140e141
                 Antimoney laundering (AML), 131, 136e137      data management problem solving, 138
                 Apparatus for LEP PHysics (ALEPH)             decision trees, 140
                      detector, 89                             definition, 140
                 Application lifecycle management (ALM),       engagement windows, 142
                      183                                      logistic regression models, 139
                 ApplicationMaster, 36                         macroenvironment variables, 142
                 Artifact management repository, 183           neural networks, 143
                 Artificial intelligence (AI), 11               perceptions variables, 141
                  banking industry applications and usage,     transactional behavior, 138
                      128                                    cybersecurity threats, 129
                  customer journey centric teams, 208e209    digital transformation, 127
                  data accessibility and culture, 209        electronic data processing era, 127
                  data management, 209                       fraud and compliance tracking, 135e136
                  end-to-end lifecycle management, 209       granular trading information, 128
                  intelligent technology, 209e210            Internet of Things (IoT), 127
                  vision, 208                                millennial age customer, 127
                                                             recommendation engines, 137e144
                 B                                           technology implementation, 129
                 BackupNode, 33                              uber banking
                 Banking industry applications and usage       antimoney laundering (AML), 131
                  AI and machine learning, 128                 banking experience, 132e133
                  algorithmic trading, 137                     business challenges, 131e132
                  analytics and big data applications,         compliance, 131
                      134e135                                  customer journey and continuum,
                  antimoney laundering (AML) detection,         133e134
                      136e137                                  digital bank, 130e131
                  chatbots, 136                                financial services industry (FinTech),
                  crowd engineering, 128, 128f                  130e131
                  customer churn prediction                    global banking industry, 130
                    algorithms, 142                            modern data applications, 134
                    application development, 144               technology investments, 130
                    application predictions, 143e144       Basel Committee on Banking Supervision
                    application requirements, 138e140           (BASEL III and BASEL IV), 210
                    behavioral variables, 141              Basho Riak, 68e69


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