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Our Work

Don't take our opinion for what we've done - here are some of our results.

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01

Retail Banking: Achieving a 360° Customer View

Client 

A leading European retail bank's Corporate Banking division.​

 

Challenges

Data Fragmentation: Customer information was dispersed across domestic and international operations, each with distinct IT systems. This fragmentation hindered client managers from generating timely reports.


Inconsistent Data Formats: Variations in data representation across DB2 systems and other platforms, including emails and social media, led to inefficiencies.​


Manual Reporting Processes: Generating a single report could take up to six weeks and involve multiple personnel, with an additional 10,000 man-hours annually spent on data discovery.​

Solution

Our Intelligent Data Platform integrated disparate data sources into a unified virtual environment, connecting to core business applications and processing unstructured information. This integration provided real-time access to comprehensive customer data, enabling client managers to generate up-to-date reports on demand.​

 

Benefits

Enhanced Efficiency: Significantly reduced the time and resources required for report generation.​

Improved Data Accessibility: Provided a holistic view of customer information, enhancing decision-making and client service.​

02

Internal Audit: Enhancing Efficiency and Data Access

Challenges

Data Accessibility: Internal Audit teams often struggled to access necessary data across various systems.​

 

Skill Shortages and Capacity: Limited availability of specialised skills and resources impeded swift responses to extensive audit requirements.​

Integration of Analytics: Difficulty in effectively incorporating analytics into audit processes, often requiring substantial investment and IT support.​

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Solution

Our Intelligent Data Platform provided real-time access to data across disparate systems without the need for data replication. Its user-friendly, self-service capabilities allowed Internal Audit teams to perform data mining and analysis efficiently, reducing reliance on IT support.​

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Benefits

Streamlined Audit Processes: Enabled more efficient and effective internal audits.​

Enhanced Data Privacy Compliance: Improved adherence to data privacy regulations through secure data handling.​

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03

Streamlining Data Processing and Management

Client

A start-up company compiling public data from government municipalities.​

 

Challenges

Manual Data Extraction: Relied on manual processes to extract text from PDFs, leading to inefficiencies.​

Data Classification: Manual enrichment and classification processes were time-consuming and prone to errors.​

Solution 

Our Intelligent Data Platform automated the extraction of text from PDFs using Optical Character Recognition (OCR) services and implemented a classification microservice to automate data enrichment and classification.​

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Benefits

Increased Efficiency: Reduced the project timeline from an estimated two years to under four months.​

Improved Data Accuracy: Automated processes minimized errors associated with manual data handling.​

04

Identifying and Mitigating Customer Churn for an Energy Provider

Background

An energy provider was experiencing significant customer churn and sought to understand the underlying causes to implement effective retention strategies. The company engaged a professional services consultancy, which recognised our Intelligent Data Platform as the ideal solution to analyse and identify statistical correlations for churn across recorded data events.​

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Challenges

The energy provider faced several challenges that hindered their ability to analyse customer churn effectively:

Data Silos: Customer data was dispersed across multiple systems without integration, making it difficult to obtain a unified view of customer interactions and feedback.​

Retail-Focused Data: The existing data infrastructure was tailored more towards retail operations rather than being customer-centric, limiting insights into individual customer behaviours and preferences.​

Static Segmentation: Business reporting relied on static segmentation, which was not aligned with the dynamic nature of the customer lifecycle, resulting in outdated or irrelevant insights.​

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Implementation of the Intelligent Data Platform

To address these challenges, our Intelligent Data Platform was deployed with the following objectives:​

Data Integration: Connect and integrate disparate data sources to create a unified, customer-centric data environment.​

Real-Time Analysis: Enable real-time access to integrated data, allowing for timely analysis and decision-making.​

Advanced Analytics: Utilise the platform's capabilities to perform statistical analyses and visualise results, identifying key factors contributing to customer churn.​

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Process and Outcomes

The implementation process and outcomes were as follows:​

Rapid Deployment: The platform was deployed and operational within a short timeframe, enabling swift commencement of data analysis.​

Comprehensive Data Integration: All relevant customer data sources were connected, providing a holistic view of customer interactions and behaviours.​

Identification of Churn Drivers: Through advanced statistical analysis and data visualisation, the platform identified the key factors contributing to customer churn within ten days—a process that would have taken an estimated four months using traditional methods.​

Informed Retention Strategies: With a clear understanding of the churn drivers, the energy provider was able to develop and implement targeted retention strategies, leading to improved customer satisfaction and reduced churn rates.​

05

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Professional Services: Aggregating Market Intelligence

Client 

A professional services firm focusing on financial auditing and advisory services.​

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Challenges

Data Aggregation: Required up-to-date market information on clients from multiple sources, making data aggregation complex and time-consuming.​

Maintenance Challenges: Developing and maintaining communication layers between various data sources and applications was resource-intensive.​

Solution

Our Intelligent Data Platform federated data from over 40 REST API endpoints, enterprise data warehouses, and several application databases, serving as the data engine for the firm's business intelligence application.​

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Benefits

Efficient Data Aggregation: Streamlined the process of collecting and blending data from various sources.​

Simplified Maintenance: The platform's low-code/no-code, metadata-driven approach facilitated easier maintenance and auditing processes.

06

Online Gaming: Enhancing Data Management and Reporting

Client 

An online sports betting and gaming provider.​

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Challenges

Manual Data Processes: Relied on Excel spreadsheets and manual processes for data collection and reporting, limiting scalability and flexibility.​

Data Silos: Faced challenges in reconciling siloed data from external gaming platforms.​

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Solution

Our Intelligent Data Platform connected to defined data sources, ingesting data in near-real-time through APIs. It curated data objects that made information seamlessly available to business intelligence tools and incorporated player information from the Player Backoffice platform.​

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Benefits

Automated Data Collection: Facilitated automatic data collection and aggregation in real-time or near-real-time.​

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Enhanced Reporting: Provided accurate and readily accessible management reporting dashboards, improving decision-making.

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