Data Strategy 

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.

Digital Transformation

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.

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

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.

Data Governance / 

Data Management

A process whereby the existing structures around the management and governance of data in an organisation are assessed, and process and structure implementation/improvements are proposed in order to improve quality, consistency and usability of data, as well as embedding processes that ensure responsible access and use of data as per the organisation’s requirements.

Data Analytics Platform

An exercise where the 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 

Cloud Migration 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

Data Science

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

OpenAI / ChatGPT

Data Engineering

A practice of designing and building the system for collecting, storing, analysing data in large volume and downstream data science applications.

Data Transformation

Data Cleansing

Data Standardisation

Data Lake / Data Warehouse / Data Mart

Business Intelligence

Business Intelligence solution is a set of tools and processes setup to form a system to enable intelligent business decision making. They support business decisions ranging from operational, tactical to strategic or long-term.

Business Performance Management

Reporting

Data Visualisation

Product Positioning

Pricing Strategy

Risk Management (e.g. Fraud Risk, Procurement Risk, Credit Risk

Data Quality

To ensure that you and your organisation are making decisions that are reliable, complete and accurate, data issues must be addressed.

Data Quality Standards

Data Quality Index

Data Quality Improvement

Data Security

An important aspect when unraveling insights from data is without compromising compliance or customer trust. It is a safeguarding process on data throughout its life cycle to protect it from corruption, unauthorised access, and theft. 

Data Quality Standards

Data Quality Index

Data Quality Improvement

We run courses for data analytics and AI 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”

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 / faciliatator

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