On-Demand Delivery of Accurate & Timely Data for your Omni channel Banking

Digital Banking is the need of the hour. As you gauge your preparedness, it is worthwhile to remember that success of Digital Banking is dependent on the appropriate ‘Data Fabric’.

Key features –

1. Integrate real time multiple data sources using state of the art technology components
2. Validate on the go by Domain model & rules from our 20 years of banking experience
3. Govern as you consume with Data and Business Processes tempered by working with large banks

Uninterrupted Banking by bringing in 100% Compliance Accuracy

Digital banking comes with more compliance & regulatory audits – Are you prepared ?

Key features –

1. Charge up your compliance journey by leveraging Ready to use Models, Mappings & Validation Rules from our 20 years of banking experience
2. Take advantage of our Robust Processing Framework through automated profiling and discovery, data quality validations, and data curing
3. Be assured of the depth of our Compliance expertise through our years of experience in Fraud, AML, CCPA and KYC

Create complex data processing workloads that are fault tolerant, repeatable, and highly available

Managing Real Time and Batch together at large volumes, and addressing Data Quality and Integrity needs by building and maintaining robust data pipelines – Are your data pipelines addressing the real elephant-in-the room?

Key features –

1. Choose from an exhaustive Catalogue of Services – Assessment of current data pipelines, optimization recommendations, building a self-service layer, data quality assessments, and development services
2. Competitive edge with Accelerators and Frameworks – Data Ingestion Framework and Domain Model led approach incorporating the Data Quality Management, Self-healing & Visualization Capability and Data Assurance implementation
3. Technology competencies and best of breed partnerships with Talend, Matillion, Ab Initio, Informatica, Kafka and Apache Spark

Managed Data Lakes takes over from pure RDBMS technology that no longer supports the complex needs of the modern-day enterprise

Digital transformation requires high volumes of structured and unstructured data to be stored and accessed at speed. Are you prepared?

Key features –

1. Gain the winning advantage in creating Data Lake strategy and Roadmap with our deep understanding of banking domain and data structures
2. Alliances and best practices from practice leaders guarantees world class implementation of Data Lakes, Warehouses and Marts
3. Data Integration, Access and Managed services embedded with our DNA of data quality and business outcome focus

Experience ‘Form as it follows Function’ with Maveric’s Experience in visualizing core business KPIs and processes

Maveric has expertise across world’s best visualization platforms – Power BI, Spotfire, Tableau, Cognos, and Plotly

Key features –

1. Outcome focused dashboard design
2. Empathy driven user visualization
3. Designed for decisions and actions

Focus Areas –

1. Customer: Customer 360 degree dashboard, Transaction Analysis, Product Propensity.
2. Performance Dashboards: For operational, sales and channel partners and support functions.
3. Risk Analysis : For Portfolio, Roll-Rate, Vintage, and Delinquency analysis.
4. Compliance: AML Cockpit, Fraud Dashboards, Regulatory Reporting Dashboards.

A bank’s analytics strategy is experienced by the speed of its decision making powered by its real time data capabilities.

Be it Customer 360, CLTV, Life stage analysis, or leveraging virtual agents; Improve customer experience and provide personalized service by leveraging advanced analytics.

Key features –

1. Consulting expertise, banking industry knowledge and best practices enables problem identification and prioritization.
2. Solid technical expertise on BIG data and cloud platforms for Design brings teeth to feature engineering and Hyperparameter tuning.
3. Maveric’s Strong experience in Data Science, Data Visualization & Operationalization translates into cutting edge design of experiments and Simulation.

Focus Areas –

1. Customer: Insights (Life Style Analysis and CLTV) and Experience (Virtual Agents and Relationship based pricing)
2. Performance: Sales & Collection goal setting models, Call Centre Analytics, Performance Dashboards
3. Risk: Score card development, Cash-flow forecasting, Fraud and Portfolio Analytics
4. Compliance: Model Validation, AML – Improved transactions monitoring and Sanctions screening, KYC – Augment KYC process to improve program efficiency

Custom audit solutions ensure comprehensive data discovery, data optimization and validation in addition to addressing key risks and compliance requirements

Audits are one of the most critical yet overlooked aspects of Data Management and Governance. Does your roadmap comprehensively cover all Data Sources?

Key features –

1. Comprehensive study of current data governance frameworks and recommendations.
2. Enhancement of existing service catalogues with meta-data implementations.
3. Technology competencies and best of breed partnerships with Talend, Collibra, Waterline Data, Informatica, and Apache Atlas