Our Services

STRATEGY AND TRANSFORMATION

As organisations digitise or implement digital solutions, most tend to trip over enabling their organisation to have sustainable digital transformation journey. Our strategy encompasses hardware, software, data, and human transformation holistically. We offer complete assessments of your current state vis-a-vis your business goals and evaluate, together with your key stakeholders what is needed to bring you to your desired business goals in the medium and long run.

Data Landscape and Assessment

Data Executive Advisory

We review the clients data and analytics landscape and make recommendations to harness data and digital capabilities in order to align to business strategies in the long term.

Analytics Stack Review

A collaborative effort with clients IT and business, but ultimately business led analysis of the existing data and digital assets of an organization with the focus on the ability and potential for these assets to deliver to the business goals in a timely and efficient manner.

Data Science / AI Readiness Check

An organizational-wide review of the current state of data usage and the readiness of the various parts of the organisation to become data driven and to truly take advantage of the power of data.

Data Architecture Review

We assess our clients existing data assets and on how their data is managed throughout the organisation from collection, transformation, distribution and consumption.Particular emphasis is placed on how well the existing architecture is able to meet the business goals in the short, medium and long term.

Recommendations on Roadmap for Data Science and AI Applications

Analytics Roadmap Planning

An act of deep understanding business short medium and long term goals, and high level discussion of existing digital assets and infrastructure in order to agree on and prioritise analytical assets (and data assets in needed) required to achieve these business goals over time. The pace of the journey depends on the Data Science readiness check so as to customise the plan to the client organisation’s current level of maturity.

Data Science / AI Readiness Check

An organizational-wide review of the current state of data usage and the readiness of the various parts of the organisation to become data driven and to truly take advantage of the power of data.

Use Case Generation

An exploratory exercise with the business to explore the potential uses that can be made of data generated/obtainable by the organisation to fuel the growth of the organisation by making it more data driven; this also includes planning how to achieve existing business goals better using data. This is usually an aspirational exercise that can be combined with analytics stack review and data science/ai readiness check to plan the data journey of an organisation.

Data Architecture Review

Data Governance / Data Management

Data Architecture Review

Data Governance

We will help establish a formal data governance program to ensure data is accessible, useful, secure, uniform, and trusted throughout the organization. We also provide guidance on committee composition and charter, and can even facilitate meetings as a neutral third party. We Define how people and processes factor into how your organisation achieves and maintains success with data and analytics.

We will help you take a democratised approach to data governance so that your data governance framework isn't over-engineered and integrates naturally into your business processes, leading to higher user adoption and quicker results.

Data Management

Data is essential for organisations to do better in this competitive business world. But collecting, analysing, and managing information is challenging. And because of this, developing a data management strategy is one of the most critical parts of the data management processes.

All data requires some management to turn into valuable information—but not the same level of management. With a data management strategy, we help classify data and define the level of management needed so that it turns it into valuable information consistently over time. We will help you avoid paying more than what's needed for that valuable information.

Digital Transformation

Digital Transformation encompasses hardware, software, data as above, with the addition of "heartware". "Heartware" is the skillsets and capabilities needed to enable your organisation to take full advantage digitisation.

"Heartware" Transformation

Many organisations, when attempting Digital Transformation focus on Hardware, Software and Data, missing out on the full benefits. "Heartware" transformation involves everyone at all levels across the organisation. We collaborate with various key stakeholders from business, operations and technology teams in a journey to adopt digital technologies with the aim to improve their current business and operations, and to open new business channels. Some the activities related to "heartware" transformation are listed below.

Leadership Digital Thinking & Analytics-led Decision Making
Digital and Data literacy
Cultural Change
Cross-Functional Collaboration
Process Transformation
Customer Experience / Human Centred Design Thinking
Agile / Lean Six Sigma / Kaizen Methodologies

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IMPLEMENTATION

Moving from strategy and roadmap to making it work and deliver results in real life requires careful systematic effort. DataMobius comprises of practitioners, we walk the talk and have experience of hiccups that are regularly encountered during this stage and have developed an approach that maximises the chances of returns on your investments.

Project Conceptualisation

Every successful project starts with proper conceptualisation that engages relevant stakeholders, defines goals and parameters clearly, and covers both the breadth and depth of the project, from brainstorming using creative tools to generating insights. Using our experience and Design Thinking process, we work with you to turn an idea on the back of the napkin to a plausible version to solve your business problem or the market you are positioning for.

Proof-of-Value Pilots and Experimentation

Especially in the Analytics space, as technology and markets change rapidly, it is important to test the value that various projects may bring rather than engage wholly into something that may become a white elephant. Our approach is to work with you to create relevant proofs of value and design and exercise appropriate experiments to provide assurance.

PoV
Experiment Design
Results Analysis and Decisioning

Data Architecture and Design

Any data project contains various data flows; in order to ensure the stability, efficiency and security of the project, proper data architecture and design is required

Data Architecture
Data Flow Design
Data Quality
Data Security

Data Engineering

Data Engineering makes the design come to life. It is crucial to build the system for collecting, storing, analysing data in large volume and downstream data science applications efficiently to manage costs while delivering agreed performance.

Data Transformation
Data Cleansing
Data Standardisation
Data Lake / Data Warehouse / Data Mart

Business Intelligence/Data Visualisation

Running a business requires relevant and in time information to be presented in a way that makes decision making straightforward. Business Intelligence/Data Visualisation automatically prepares visuals to support business decisions ranging from operational, tactical to strategic or long-term.

Business Performance Management
Reporting
Data Visualisation
Product Positioning
Risk Management (e.g. Fraud Risk, Procurement Risk, Credit Risk)

Data Analytics, AI and Data Science

Data Science allows you to take the step from looking at yesterday/today to having a data driven view of what the future is likely to hold. It is a cross functional practice of research and development with the aim of solving business problems by extracting meaningful insights using algorithms and statistical models. These models can be implemented to solve complex problem autonomously or assist human in decision making

Machine Learning
Artificial Intelligence

Generative AI (GenAI)

Data Analytics Platform

Data available in/to an organisation is brought together in a way that enables the organisation to use it easily and efficiently to generate insight and create analytical assets to power the business. Building of analytical platforms often is combined with the building a data science models for the business.

Unified Analytics Platform
Centralised Data Repository

Cloud Services

An exercise where workloads are moved from on-premise data centre to the cloud (or across cloud providers) in order to take advantage of modern tools available to balance between costs and benefits, at a pace that suits the organisation.

Migration of On-Prem Databases
Consolidation of Databases

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TRAINING AND MENTORING

Successful companies who have been developing and adopting AI often prove that digital literacy and application of Data Analytics and/or AI knowledge is the foundation to lead the changes in their organisations. However, one size certainly does not fit all.

There are hundreds of courses available online that propose to teach you to be successful in the digital world. Knowing which suit you and your organisation is not straightforward. For an organisation to be successful in using data, analytics and AI, there are key roles with different attributes that are required. While some skills such as critical thinking and problem solving are foundational, different roles would require different combination and emphasis on skills.

DataMobius provide training to upskill everyone in order to facilitate business transformation and to empower them critical thinking and problem solving skills in the transformation journey on top of relevant digital skills. We have the training pathways to key positions required in the digital world, such as Executive and Digital leadership, Data Analyst, Data Engineer and so on.

Training

We run courses for data analytics and AI, and innovation using intuitive explanation of concepts with various industry-based real-life examples. The learnings centre around grasping concepts in order to be able to put them into practice.

These courses can be ready-made or customised as per client requirements.

Workshops and Clinics

Our workshops curated to enable learners to fully appreciate the concepts they have been introduced by supplemented training using real life use cases applicable for your industry

Workshops and clinics can be embeded as additional coaching to enforce “learning by doing”

Mentoring

To enable learners to hone analytical skills with hands-on experience on their actual projects, we facilitate sessions that participants bring their projects and data in allocated time-slots over a period of 8 weeks to tap on our expert advice

Hire a Trainer / Facilitator

Our clients may have their in-house training programme and and content, and they are in need of trainers.

We provide training experts and our services include coaching and mentoring projects, workshops and clinics, bootcamps, hosting analytics community events

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