data, analytics, and artificial intelligence
Clean, trustworthy data is at the heart of all organisation decision-making.
Well-managed and governed data is crucial to embracing the true value of AI.
While this may excite organisations, many have yet to unearth the hidden value of data and AI to deliver targeted customer experiences, streamline their operations, and bring new and differentiated services to the table.
UNDERSTANDING YOUR NEEDS
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SCALING DATA
You need a data analytics framework that grows with your business, optimises your resources, and eliminates future, costly roadblocks.
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COMPLAINT DATA
Your organisation insists on establishing a Data Trust that is compliant and serves as a strategic asset to outperform your peers.
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Integrating Data
You want a swift and seamless integration of new data services into your current infrastructure and across your entire operational eco-system.
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DATA LITERACY
Your team disagrees too often on decision-making rationale, depending heavily on judgment rather than their know-how on extracting, interpreting, and acting on advanced data.
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REAL-TIME AUTOMATION AND DATA
Your current system’s lag in data processing and reliance on manual input is a barrier to timely and cost-efficient decision-making.
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HYPER-PERSONALISATION
Your products need increased revenue, loyalty, and brand emersion to attract and retain your customers.
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TRUST IN DATA AND AI
You need help to cut through the noise and bring data and AI systems that provide explainable and transparent recommendations to build trust among your stakeholders.
Why choose Alumni?
Built on Agile methodologies and industry-leading partnerships, we deliver incremental value and facilitate a culture shift in your organisation to be data-driven by design.
This approach is responsive to new technologies when you scale and prepare businesses for the future – without the need for extensive overhauls.
We assess your data and personnel readiness to identify areas of excellence and potential growth. The initial exploration outlines your data journey, custom value propositions, use cases, and metrics that convert data into tangible outcomes and opportunities for monetisation and self-service.
Tailored data design principles and technology choices build your data infrastructure. Structured architecture and intelligent automation guide the development of a comprehensive implementation roadmap and investment plan, ensuring full oversight and ownership of your data.
As your organisation adopts a data-led business model, focus on effective data conversion, recording, and management throughout its lifecycle. Advanced analytics help your data support decision-making, driving efficiency gains, new market opportunities, and revenue streams.
Address the human side of technological adoption with training and literacy programs that cultivate a data-driven culture. Workshops, gamified learning, and 1:1 leadership support engage and equip employees to embrace new workflows and capabilities.
services for every need
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Data Strategy
Evaluate the current use of data within your organisation, including the level of trust and value creation, using our industry-standard maturity framework and strategy to uplift, migrate, and monetise data.
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Data Governance
Establish data ownership, set data quality benchmarks, and deploy automated systems for consistent compliant and data integrity.
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Data Architecture
Design a blueprint for your entire data landscape, including how it will be sustainably and automatically managed and maintained across the business.
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Data Migration
Planning, executing, and monitoring the entire migration process, considering regular quality assurance and security testing to avoid budget overruns, reduce business downtime, and address all needs and expectations of parties.
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Data Analytics
Embed analytical decision-making in your organisational processes to drive enterprise value and act on past, present, and future insights.
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Data Operation, Science, and AI
Adopt an ethical, end-to-end approach to developing and integrating GenAI technologies to inform strategic decisions, enhance the efficiency of service delivery, and continuously improve workflows.
MEET OUR data EXPERTS
Naveen Kumar
Data Lead
Naveen Kuman
Data Lead
Naveen is an experienced BI Data Architect with a decade of expertise in Data Warehousing and Data Mart implementations in the banking, logistics, and leading technology and infrastructure sectors. Skilled in data architecture, modeling, and pipeline development, he has a strong track record of translating complex business requirements into actionable data models.
Ronald Ng
Head of Technology (Hong Kong)
Ronald Ng
Head of Technology (Hong Kong)
Ronald is a technology leader with 16 years of IT experience MNCs in client-facing roles. He transforms customers IT capability to deliver new ways of creating business value and enabling agility in operations. The unique combination of business knowledge and Ronald’s technical background, is a perfect storm to spawn new value strategies, developing technology planning, whilst working with existing capabilities and partnering with vendors and/or service teams to deliver results.
Alex Lau
Senior Consultant
Alex Lau
Senior Consultant
Alex helps businesses make the most of their data assets by providing advice and guidance on data analytics, with a focus on promoting user adoption. Her deep understanding of data governance frameworks and regulations ensures that businesses remain compliant while maximising the value of their data.
Andrew Marsh
Chief Disruption Officer, Data Lead
Andrew Marsh
Chief Disruption Officer, Data Lead
Andrew is a highly skilled enterprise architect who has led and coordinated major business and IT transformation across multiple industries for over 15 years. His core skills encompass IT, Project and Human Resource Management, and tactical and strategic planning. He possesses extensive experience in the delivery of large-scale projects.
INSIGHTS & PERSPECTIVES
While Amazon and Netflix excel at personalized experiences, only 10% of banks effectively use AI and ML for a competitive edge. What's holding them back? Examine the challenges, from legacy systems to compliance costs, and the potential of real-time data streaming to transform customer experiences, reduce churn, and drive revenue.