Enable a 415% five-year ROI by fostering the innovation of business outcomes through data. (aws.amazon.com)

Be confident, knowing your future operations are based on accurate historical data.

Allow individual teams to leverage data and identify insights within their departments.

Using data to find your answers

Businesses capture statistics, quantitative data, and information from multiple customer-facing and internal channels. But finding key insights takes careful analysis of a large quantities of data.

Data analytics helps companies gain more visibility and a deeper understanding of their processes and services by unlocking and using previously siloed data to gives them detailed insights into the customer experience and internal operations.

Analytics can be enhanced when paired with Machine Learning workloads to meet your specific business needs to improve customer experience, optimise operational processes and accelerate innovation.

Enabling a data-driven culture is the hardest obstacle on the path to a data-driven organisation according to 92% of companies (aws.amazon.com). By empowering your team to use data through analytics and visualisation, you can help build a modern data strategy and start your journey to a data-driven organisation.

What is a modern data strategy?

Business Intelligence

Leverage historical data to train and build models that forecast future outcomes or take advantage of relational data to accurately predict results.

Visualisation

Data collection from object tracking, detect changes over time, and facial recognition from image or video sources using machine learning models.

Reporting

Offer offline reporting through PDF conversion to cater for all stakeholders and aid business decision making.

Data science

Identify anomalies to detect fraud or discover patterns to discover trends and aid predictions.

Modern Data Strategy

Building a data strategy is essential for organisations to stay relevant, competitive, and innovative amidst constant change. Because data is vast, dynamic and comes in many different formats, extracting value can be challenging and to harness data’s full potential requires an end to end modern strategy.


Data Maturity Assessment

The Data Maturity Assessment (DMA) is a 5 point assessment of specific areas contributing to a data strategy to highlight your current state, score your data maturity and highlight a clear roadmap for improvement.

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Modern Data Strategy

Your Modern Data Strategy starts with our maturity assessment

01

Data maturity assessment, results and report

02

Roadmap and timeline to delivery

03

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