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.
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.
Feeding data-driven insights across industries
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.
Insights & Events with analytics
Workload Optimisation and Improved Audit Logging in Amazon Redshift
Today’s insight takes a broader look at two elements shaping Amazon Redshift into the data warehousing behemoth of the…
Build Event-Driven Data Quality Pipelines With AWS Glue DataBrew
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Reduce the Cost and Complexity of Machine Learning Preprocessing
A week ago, Nate Bachmeier, AWS Senior Solutions Architect, and Marvin Fernandes, Solutions Architect, wrote an…
Collecting, Archiving and Retrieving Surveillance Data With AWS
As a company based within the UK, we are no stranger to the presence of CCTV cameras and the importance of them. With a…
New Features in Amazon Managed Grafana
During late August 2021, AWS made Amazon Managed Grafana generally available. At re:Invent, they launched some new…
Amazon SageMaker Canvas announced at AWS re:Invent
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Prevent Fake Account Sign-ups With AI Using Amazon Fraud Detector
Early November, Anjan Biswas, Senior Solutions Architect at AWS, revealed how you can implement a real-time fraud…