Welcome to NextWave's Case Studies page
How have we helped our clients?NextWave clients have transformed data-driven decisioning, automated processes from weeks to minutes, accelerated solution development by 8-10 times and saved months from transformation timelines.
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Welcome to NextWave's Case Studies page
NextWave clients have transformed data-driven decisioning, automated processes from weeks to minutes, accelerated solution development by 8-10 times and saved months from transformation timelines.
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Case Study – Digital transformation for a fast-growing fintech
Using Appian to assist in the rapid delivery of a series of low-code solutions and provided expertise from both our Dutch and UK offices.
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Improving Transaction Monitoring Controls for identifying money laundering and suspicious activity
In the high-risk sector of correspondent banking, traditional transaction monitoring capabilities are limited in utility by legacy technology and therefore have limited ability to verify the identity and nature of payments to pseudo-customers resulting in large volumes of poor-quality transaction monitoring alerts. This in turn limits the bank's ability to meet regulator anti-money laundering expectations.
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Credit Risk Analysis on Small & Medium Enterprises
The client had identified a need to improve its identification/classification of SME to improve its lending credit risk process and to further improve risk scoring in the underwriting process.
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Finding prospective customers
The client wanted to improve its ability to leverage the scale and relationships of the wholesale bank to drive significant revenue growth across the group.
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Detecting suspicious activity in the Markets space
The client wanted to replace their existing transaction monitoring system, taking advantage of network analysis and third-party data (D&B) to improve the quality of their alerts, i.e. improving risk coverage and reducing volume of false positives.
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Corresponding banking: Improving Transaction Monitoring Controls (TMC)
NextWave worked with Quantexa to enhance a major UK bank’s Correspondent Banking Transaction Monitoring Control Assessment (TMCAs) framework to improve risk topology coverage and process performance.
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Trade anti-money laundering detection for a major Japanese investment bank
NextWave was mobilised by a major Japanese investment bank to identify potential markets’ fraudulent cases in a proof-of-concept project.
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Case Study - Combining Appian and Alteryx to solve business problems
Leveraging the power of both Appian and Alteryx to deliver rapid and agile business outcomes.
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Case Study - Lloyds of London reporting returns
A case study showing how a manual spreadsheet based process was transformed to an automated process leveraging Alteryx
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Case Study - New Business Onboarding Process
Automation and co-ordination of the new business onboarding for a global energy company
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Manual-Auto Case Study
How Appian was used to automate a manual process
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PDF
Case Study - Collateral processing automation with Appian
This case study covers the background, challenges and business outcomes when NextWave delivered the automation of a previously manual collateral process in Appian.
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Welcome to NextWave's Case Studies page

NextWave clients have transformed data-driven decisioning, automated processes from weeks to minutes, accelerated solution development by 8-10 times and saved months from transformation timelines.
Case Study – Digital transformation for a fast-growing fintech

Using Appian to assist in the rapid delivery of a series of low-code solutions and provided expertise from both our Dutch and UK offices.
Improving Transaction Monitoring Controls for identifying money laundering and suspicious activity

In the high-risk sector of correspondent banking, traditional transaction monitoring capabilities are limited in utility by legacy technology and therefore have limited ability to verify the identity and nature of payments to pseudo-customers resulting in large volumes of poor-quality transaction monitoring alerts. This in turn limits the bank's ability to meet regulator anti-money laundering expectations.
Credit Risk Analysis on Small & Medium Enterprises

The client had identified a need to improve its identification/classification of SME to improve its lending credit risk process and to further improve risk scoring in the underwriting process.
Finding prospective customers

The client wanted to improve its ability to leverage the scale and relationships of the wholesale bank to drive significant revenue growth across the group.
Detecting suspicious activity in the Markets space

The client wanted to replace their existing transaction monitoring system, taking advantage of network analysis and third-party data (D&B) to improve the quality of their alerts, i.e. improving risk coverage and reducing volume of false positives.
Corresponding banking: Improving Transaction Monitoring Controls (TMC)

NextWave worked with Quantexa to enhance a major UK bank’s Correspondent Banking Transaction Monitoring Control Assessment (TMCAs) framework to improve risk topology coverage and process performance.
Trade anti-money laundering detection for a major Japanese investment bank

NextWave was mobilised by a major Japanese investment bank to identify potential markets’ fraudulent cases in a proof-of-concept project.
Case Study - Combining Appian and Alteryx to solve business problems

Leveraging the power of both Appian and Alteryx to deliver rapid and agile business outcomes.
Case Study - Lloyds of London reporting returns

A case study showing how a manual spreadsheet based process was transformed to an automated process leveraging Alteryx
Case Study - New Business Onboarding Process

Automation and co-ordination of the new business onboarding for a global energy company
Manual-Auto Case Study

How Appian was used to automate a manual process
Case Study - Collateral processing automation with Appian

This case study covers the background, challenges and business outcomes when NextWave delivered the automation of a previously manual collateral process in Appian.