DataSide Industry use cases -
enable ‘quick-wins’ whilst unlocking real-time reporting, workflow automations, modernisation programs as more.
DS Blueprint™ leverages DataSide™ to enable ROI-driven ‘quick-wins’ as well as provide the paths for medium to long term uplift.
BANKING
Visibility, Reporting, Security, Risk & Compliance
OPTICS
Generate real-time reporting insights you can trust to accelerate your time-to-decisions.
AVIATION
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MODERNISATION
Transform legacy systems to reduce technical debt whist increasing efficiencies.
TRANSPORT
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WORKFLOW AUTOMATION
Deploy workflow automations that leverage triggers based on your real-time data.
OPTIMISATION
Advanced algorithms supported by a data-driven approach to deliver uplift and reduced costs.
ANALYTICS
Generate insights and forecast trends by leverage historical and real-time data.
Analytics leverages historical and real-time data to generate insights, forecast trends, and support data-driven decision-making.
Predictive analytics
uses statistical models and machine learning to anticipate future outcomes and guide strategy.
Best used when
- When anticipating customer behaviour or market trends is critical.
- If early warning of risks or opportunities would drive better decisions.
- Where large volumes of data are available but underutilised.
- When the business wants to shift from descriptive to predictive and prescriptive insights.
Problems it solves
- Inability to forecast demand, sales, or operational risks.
- Missed opportunities due to lack of insight into customer trends or market changes.
- Difficulty identifying and mitigating emerging risks in advance.
- Underutilisation of data for strategic planning and competitive advantage.
- Challenges in personalising customer engagement or improving retention.
INNOVATION
New technologies supported by creative approaches unlock new business value.
Innovation is about leveraging new technologies and creative approaches to unlock new value, differentiate from competitors, and future-proof the business.
This may involve
piloting AI, experimenting with new business models, or fostering a culture of experimentation and rapid learning.
Best used when
- When the business wants to stay ahead of industry trends or disrupt the market.
- If there’s a need to solve complex problems in new ways.
- When fostering a culture of continuous improvement and learning is a strategic goal.
- Where technology can open up new products, services, or revenue streams.
Problems it solves
- Lack of differentiation in a competitive market.
- Slow adoption of emerging technologies and digital trends.
- Difficulty identifying or capitalizing on new business opportunities.
- Siloed or stagnant culture resistant to change.
- Inability to rapidly test and scale new ideas or solutions.
OPTIMISATION
Advanced algorithms supported by a data-driven approach to deliver uplift and reduced costs.
Optimisation uses data-driven approaches and advanced algorithms to improve efficiency, reduce costs, and maximise resource utilisation.
It’s about
identifying bottlenecks, balancing constraints, and continuously improving processes for better business outcomes.
Best used when
- When there are complex operations or logistics that could benefit from optimisation (e.g., routing, scheduling, inventory).
- If cost reduction or efficiency gains are key business drivers.
- Where there is a need to make better use of existing resources.
- When there’s a desire to move from reactive to proactive operational management.
Problems it solves
- High operational costs or resource wastage.
- Inefficient routing, scheduling, or allocation of resources.
- Bottlenecks or constraints limiting throughput or service levels.
- Difficulty balancing competing objectives (e.g., cost vs. speed vs. quality).
- Lack of insight into which process improvements would yield the best ROI.
Let's talk about what
DS Blueprint could mean for your reporting, workflows and operations.
DS Blueprint business enhancements
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