Data Management
The key to maximise the value of Data for holistic Enterprise Growth
In the current highly volatile economic climate, organisations across industries are challenged with rapidly changing regulations to manage their risks, growing competition and intensified pressure in maintaining profit while balancing regulatory compliance, customer needs and shareholder expectations.
McKinsey & Company states that “Data and analytics are reshaping industry competition and organizations’ core businesses at an accelerating pace. Companies with the greatest overall growth in revenue and earnings receive a significant proportion of that boost from data and analytics”.
As organisations progressively becoming ‘data-driven’ and critical business decisions/operations have heavier reliance on data and insights, there is greater need to ensure relevant data is of the right quality. In industries such as financial institutions, regulators are increasing their focus on data risk management and Reporting standards to minimise the industry and economic risks associated with business decisions/operations impacted by poor quality data. Examples include APRA's CPG-235: Managing data risk and BCBS-239: Principles for effective risk data aggregation and risk reporting.
RegCentric's Approach:
We see data management as an integral part of data strategy, that brings to life effective disciplines to ensure data is of right quality and securely reaches right consumers at the right time, for business decisions and actions, in compliance with industry standards and regulations.
RegCentric has expertise in supporting our clients defining their data strategy and implementing data management disciplines with a framework, that includes right leadership, technology/tools and operational functions with processes, policies and standards, to achieve sustainable and scalable business outcomes.
As regulatory and data specialists, we differentiate ourselves by taking a pragmatic, iterative and cost-efficient approach in our delivery, leveraging from other planned data-centric investments within the company, (e.g. regulatory initiatives), optimising the overall enterprise spend, supporting clients to progressively unlock the value of data for exponential growth, while meeting regulatory compliance.
We offer a range of services in data management
Advisory services:
With our strong expertise and leadership experience, our services cover
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Defining a data strategy in partnership with our clients
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Shaping and governing end to end data architecture, ensuring it meets short-term needs and scalable to meet future needs
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Conducting tool assessment and proof of concepts to support your data strategy
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Defining frameworks and templates for data management such as data ownership and accountability model
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Establishing data controls and data governance forums, related processes and policies
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Data capability reviews and maturity assessment
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Tailored presentation and training to different business divisions and levels
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Supporting our clients to get senior executive sponsorship for their data agenda
Vendor solution implementation services:
We have talented technical specialists who have extensive experience in implementing data capabilities and have strong partnership with vendors who are leaders in data integration and data management tools and technology. We can assist in technical implementation of the various capabilities of data strategy, such as data sourcing, integration, transformation, enrichment/calculation, data controls and Insights.
Resource augmentation services:
In addition, we provide resource augmentation services to fill specific skill shortages our clients encounter in executing their data strategy and data management capability uplift. This includes (but is not limited to) resources such as Business Analysts, Data Analysts, Data modellers, as required.
If you like to learn more about our services offerings, please contact us.
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