case studies

Customer’s main challenges included:

• lack of data warehouse capable of serving data in real time
• delays in delivering data to business units
• issues with integration of new data sources
• staffing limitations led to not sufficient expertise and execution constraints
• poor data quality

Assembling a team of experts:

Helping the bank develop real-time data platform required deep subject-matter expertise in architectural design, engineering and project management. We assembled a team of experts to conduct a eight-week evaluation of the customer’s business case. From there, we focused on building solution architecture and analyzing existing systems and available technology. Our team of experts included:

• Solution architects
• Business analysts
• Engineers, DevOPS and testers
• Project manager and scrum master

MVP:

Within 3 months we have build a MVP of data platform capable of:

• integrating two main data source with customer data
• a centralised storage of structured and unstructured data
• integrated tools and technologies for processing and transforming data, such as data ingestion, batch and real-time processing.
• integrated tools and dashboards for visualising data,
• introduced data reconciliation mechanism – verification of data accuracy and consistency
• 360-Degree View Of Customer
• better and smarter targeting, e.g., rapid testing and learning across channels
• handling complex attributions and modelling
• audience segmentation
• campaign optimization and long term learnings