Data Services
Data Services
We Do Data
Data is at the heart of everything we do. Utilizing the immense depth of skills and experience we have across our teams; we mobilise the right people with the right experience to provide the expertise to assist our customers when solving complex data challenges.
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Data Advisory
How to unlock the potential of your data?
- Assessing the current state of data management practices and comparing to agreed and or best practice baselines
- Defining a data strategy aligned with business objectives that improves several key business metrics
- Developing a roadmap for data-driven transformations
- Advising on the most appropriate operating model for data that underpins your key business goals
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Data Architecture
Ensuring your data is well-organized and accessible
- Data architecture for the enterprise or a specific solution
- Designing scalable and efficient data architectures
- Evaluating and providing the architecture and design for data migration technologies
- Using ETL/ELT (Extract, Transform, Load) to achieve conformed data states and to fuel data pipelines
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Data Governance
Cultivating a culture of compliance and awareness
- Determining current and target state including the gap analysis, then defining the required steps, data maturity and architecture to reach the target state
- Establishing data governance approach/strategy, engagement style, framework and policies
- Designing data quality standards and data management processes
- Ensuring compliance with regulatory requirements (e.g., GDPR, Basel III, KYC, SOOCS, etc.)
- Remembering to ensure that business driven use cases frame the data governance models during implementation
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Data Science & Analytics
Unlock the potential of your data
- Conducting data science experiments and hypothesis testing
- Providing expertise in natural language processing and image recognition
- Conducting data mining and pattern recognition for insights
- Applying predictive modeling and machine learning techniques
- Developing analytics models for risk assessment and customer segmentation
- Data Visualization and Reporting
- Building custom machine learning models and algorithms
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Data Migration
Data Migration is the key to upgrading applications
- After discovery, providing the data migration solution architecture including options for the most appropriate cut over approach (there are 3 options)
- Ensuring the solution guarantees data integrity, consistency and transparency of all data assets during migration
- Integrating data from multiple sources into a unified platforms prior to migrating the data to its final target state, application or applications
- Ensuring the common data model (CDM) is properly described and implemented in the solution as it will determine the success or failure of the project
- Equally, 9 other component of the solution have a profound impact on the migration outcome, with the ability to rollback to the previous data position of the migration if errors are found in the data seen as a compelling architecture principle
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Data Integration
Unlock your organisation’s data
- Defining the business use cases that the integration architecture needs to support
- Determining which integration architecture principals and patterns you wish to include in your architecture
- If you are adopting ETL batch, intraday, near real-time and or real-time data integration operating models, Novon can determine the best architecture principles and patterns to use that guarantee, data integrity 24*7, full audit capability and replay for real-time events when required
- Novon can show you how to ensure data security, data privacy and data compliance are achieved, while supporting new enforced data regularity mandates when integrating multiple source data applications into a single data set for the business to use