Data Platforms


Get the Most out of your Data

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Data is currently considered the world’s most valuable currency. Most organisations today own or have access to tremendous volumes of data, which when put to effective use can bring differential advantages. However, many organisations also struggle to make sense of unprecedented volumes of data that they suddenly find themselves dealing with. It is therefore imperative that organisations have a smart data strategy in place, to be able to use their data optimally and gain maximum benefits.

Define use case, end user and business objective of the solution. This guides us toward the data requirements.

Data Definition

Data strategy must not be created in isolation. It should align with your business needs and objectives

Business Objectives

Use case priorities are decided on the basis of reward, risk and complexity. Each use case have clearly defined data requirements.

Priorities & Requirements

This includes key considerations like data quality, data security, privacy /ownership issues, transparency and ethical data use

Data Governance

This includes deciding on the IT infrastructure to be put in place to bring the use cases to reality

Technology Implications

Client’s data and business considerations determine which cloud services to use, and purchase options

Cost Implications

Whether there are enough skilled resources to convert the use cases to fruition. If not, (re)aligning the roadmap accordingly

Skills & Capacity

This includes delivery, project management and also transitioning the existing processes and its users to a data driven process


Data infrastructure

Types of Data

Determining sources of data; how data needs to be structured and hosted, and the end use or mode of consumption is important to have a seamless path from accessing data to deriving insights from it

Infrastructure Design

A robust data infrastructure equipped to deliver the end objective effectively, while factoring in all the technology & cost implications

Data Pipelines

Creating data pipelines - batch or streaming - to consume & process data and apply business intelligence to deliver end objectives


Once data is ready to use, business intelligence methods & Artificial Intelligence algorithms are applied to derive insights for the business user to enable effective decision making, and proactive actions

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