Data & Analytics

Innovate with confidence by taking control of your data and technology

Two main factors that keep dominating CxO’s agendas are (1) that businesses must continue to innovate in order to remain competitive in 2021 and beyond and (2) the increasing volume of data is forcing them to take their data and analytics strategy into hyperdrive.

With the best-of-breed talent, we support our clients in managing their complex data landscape, discover new opportunities, understand insights better and innovate confidently.

Key benefits

Outstanding data quality

High-quality, accurate data is fundamental to extracting real-time insights. Anything less sets your business up for disappointment, and potentially even adverse business outcomes.

Democratised data drives business value

Democratised data allows everyone in your business to access whether they’re a data specialist or not! Custom-built or third-party - there are many ways to break down data silos.

Shorter time-to-market

Businesses that have readily accessible information and reliable data quality can deliver solutions more quickly and with greater accuracy.

What we do

Data governance, protection & privacy

In a highly regulated and complex environment, organisations need to be focused on the data they have; manage and protect it appropriately; recognise the value it presents as an asset; and be able to generate real benefit from it, safely and without breaching the trust of their customers, users and employees. Robust data governance is essential in improving data quality. Our data governance approach also includes GDPR compliance.

Data architecture

We support you in creating a blueprint of a data environment that aligns with your short- and long-term goals as well as your cultural and contextual requirements. From data lakes (or data hubs) to data warehouses to data-visualisation tools – we support you in creating a holistic, all-encompassing data architecture.

Analytics / BI

Layered on top of your data architecture will be various tools and technologies for quantitative, statistical and exploratory data analysis and deriving data-driven insights. With data lakes typically containing billions of data points, it’s humanly impossible to fully mine, analyse, and understand all of the available data. Fortunately, applying AI-based diagnostic analytics solutions can turn overwhelming quantities of raw data into usable insights.

Reporting & visualisation

Simply put, this is the interface layer for your business users. When considering this component, it’s good to evaluate various specialized technology tools that can help you build dashboards that make it easy for your business users to perform sap cloud analytics modelling, obtain reports, and complete other self-service tasks.

Data engineering

It’s crucial to build robust data systems that are reliable, scalable and can evolve as the business needs change. This is an area where many solutions fall down leading to fragile systems that are expensive to maintain and change.