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color: #857a8e; } a { text-decoration: none; background-color: rgba(0,0,0,0); } .align-items-center { align-items: center!important; } a:-webkit-any-link { cursor: pointer; } .v-social-link.v-icon-linkedin, a.v-social-link.v-icon-linkedin { background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='36' height='36'%3E%3Cpath d='M7.08 10.56A3.46 3.46 0 103.62 7.1a3.45 3.45 0 003.46 3.46zM13.8 13.18v19.17h5.95v-9.48c0-2.5.47-4.93 3.57-4.93s3.1 2.87 3.1 5.09v9.32h6V21.84c0-5.17-1.11-9.14-7.15-9.14a6.27 6.27 0 00-5.64 3.1h-.08v-2.62zm-9.7 0h6v19.17h-6z' fill='%23857A8E'/%3E%3C/svg%3E"); } .v-social-link.v-icon-twitter, a.v-social-link.v-icon-twitter { background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg width='36' height='36' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M32.142 10.866c-1.049.464-2.17.778-3.353.923a5.859 5.859 0 002.57-3.233 11.602 11.602 0 01-3.71 1.418 5.831 5.831 0 00-4.263-1.852 5.84 5.84 0 00-5.838 5.844c0 .458.048.904.15 1.333a16.547 16.547 0 01-12.036-6.11 5.854 5.854 0 001.815 7.804 5.702 5.702 0 01-2.654-.73v.073a5.844 5.844 0 004.686 5.73 5.88 5.88 0 01-1.538.204c-.373 0-.741-.036-1.097-.108a5.848 5.848 0 005.458 4.058 11.706 11.706 0 01-8.648 2.419 16.32 16.32 0 008.937 2.641c10.753 0 16.627-8.907 16.627-16.633 0-.253-.006-.506-.018-.754a11.888 11.888 0 002.912-3.027z' fill='%23857A8E'/%3E%3C/svg%3E"); } .row { display: flex; flex-wrap: wrap; margin-right: 30px; margin-left: 30px; margin-top: -20px; } hr { width: 88%; margin-left: auto; margin-right: auto; } .v-text-purple-60 { color: #857a8e!important; } .text-center { text-align: left!important; } .align-items-center { align-items: center!important; } /*.col, .col-2, .col-3, .col-4, .col-5, .col-6, .col-7, .col-8, .col-9, .col-10, .col-11, .col-12, .col-auto, .col-lg, .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-12, .col-lg-auto, .col-md, .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-12, .col-md-auto, .col-sm-2, .col-sm-4, .col-sm-6, .col-sm-8, .col-sm-10, .col-sm-11, .col-sm-12, .col-sm-auto, .col-xl-1, .col-xl-2, .col-xl-3, .col-xl-4, .col-xl-5, .col-xl-6, .col-xl-7, .col-xl-8, .col-xl-12 { position: relative; width: 100%; padding-right: 30px; padding-left: 30px; }*/ .ml-1, .mx-1 { margin-left: -31px!important; position: relative; top: -13px; } .no-padding{ padding: -0!important; border: 0!important; margin: 0!important; } .ml-auto, .mx-auto { margin-left: auto!important; } .mr-0, .mx-0 { margin-right: 0!important; } .v-mdu-footer-nav ul { padding: 0!important; } ul { margin-block-start: 1em; margin-block-end: 1em; margin-inline-start: 0px; margin-inline-end: 0px; padding-inline-start: 40px; display: inline-block; } ul.list-unstyled { padding-left: none; list-style: none; } ul.list-unstyled li { margin-bottom: 0; } @media (min-width: 768px) { .v-social-share li { height: 36px; } } ul li { position: relative; } li { display: list-item; text-align: -webkit-match-parent; } @media (min-width: 768px) { .v-social-link, a.v-social-link { width: 36px; height: 36px; background-size: 20px; } } .d-inline-block { display: inline-block !important; } a { color: inherit; text-decoration: none; background-color: rgba(0,0,0,0); } .v-social-link, a.v-social-link { display: inline-block; width: 36px; height: 36px; 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} .v-social-link.v-icon-facebook, a.v-social-link.v-icon-facebook { background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg width='36' height='36' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M19.164 14.244v-2.57c0-1.16.267-1.747 2.14-1.747h2.351V5.609h-3.922c-4.808 0-6.394 2.119-6.394 5.754v2.88h-3.157v4.318h3.157v12.951h5.825V18.561h3.958l.533-4.317h-4.49z' fill='%23857A8E'/%3E%3C/svg%3E"); } .v-social-share { flex-direction: row; } .sr-only { position: absolute; width: 1px; height: 1px; padding: 0; margin: -1px; overflow: hidden; clip: rect(0,0,0,0); white-space: nowrap; border: 0; } .v-social-link.v-icon-glassdoor, a.v-social-link.v-icon-glassdoor { background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg width='36' height='36' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M23.401 26.6h-14.4c0 1.988 1.61 3.6 3.598 3.6h10.8a3.6 3.6 0 003.6-3.6V11.818a.13.13 0 00-.13-.132h-3.34c-.07 0-.129.06-.129.133v14.784l.002-.001zm0-21.6A3.6 3.6 0 0127 8.601H12.6v14.782a.132.132 0 01-.13.132H9.13A.131.131 0 019 23.383V8.6A3.6 3.6 0 0112.598 5h10.803z' fill='%23857A8E'/%3E%3C/svg%3E"); } .d-flex { display: flex !important; } *, :after, :before { box-sizing: border-box; } .v-social-link:after, .v-social-link:before, a.v-social-link:after, a.v-social-link:before { display: none; } .TopHeader { width: 100%; min-height: 33px; background-color: #000000; } .TopHeader .goog-te-combo { font-size: 12px; } /*********************************************/ ul.list-style-none { /*padding-left: none;*/ list-style: none; padding-right: 24px; } @media (max-width: 932px) { ul.list-style-none { /*padding-left: none;*/ list-style: none; padding-right: 24px; display: none; } } .col, .col-2, .col-3, .col-4, .col-5, .col-6, .col-7, .col-8, .col-9, .col-10, .col-11, .col-12, .col-auto, .col-lg, .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-12, .col-lg-auto, .col-md, .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-12, .col-md-auto, .col-sm-2, .col-sm-4, .col-sm-6, .col-sm-8, .col-sm-10, .col-sm-11, .col-sm-12, .col-sm-auto, .col-xl-1, .col-xl-2, .col-xl-3, .col-xl-4, .col-xl-5, .col-xl-6, .col-xl-7, .col-xl-8, .col-xl-12 { position: relative; width: 100%; /* padding-right: 30px; */ /* padding-left: 30px; */ } ul.list-style-none { list-style: none; padding-right: 52px; } ul { margin-block-start: 1em; margin-block-end: 1em; margin-inline-start: 0px; margin-inline-end: 0px; padding-inline-start: 32px; display: inline-block; } @media (min-width: 320px) { ul { margin-block-start: 1em; margin-block-end: 1em; margin-inline-start: 0px; margin-inline-end: 0px; padding-inline-start: 12px; display: inline-block; } } @media (min-width: 375px) { ul { margin-block-start: 1em; margin-block-end: 1em; margin-inline-start: 0px; margin-inline-end: 0px; padding-inline-start: 36px; display: inline-block; } } @media (min-width: 425px) { ul { margin-block-start: 1em; margin-block-end: 1em; margin-inline-start: 0px; margin-inline-end: 0px; padding-inline-start: 56px; padding-right: 63px; display: inline-block; } } <iframe src="https://www.googletagmanager.com/ns.html?id=G-LGKTLHJPJT" height="0" width="0" style="display:none;visibility:hidden"></iframe>

Technical Blogs

Data Science

Predicting Risk through Network Shape
Encoding network shape has been a big factor in the success of our recent shell company detection machine learning model. Central to the model is the ability to evaluate the context of a business – given by the network of nodes surrounding it – in a way that can be input into explainable ML models. Early on in our…
Automatic Data Cleaning Through Data Normalisation and Statistics
This piece is about how to clean up bad data to improve Entity Resolution. When performing Entity Resolution (ER), we want our produced Entities to be as accurate as possible. Having bad Entities provides an inaccurate customer view and makes it much harder to spot risks. In our ER, data is commonly brought in from a…