Exit legacy tech stacks and rapidly move your complex pipelines and processes into modern cloud-native equivalents.
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HERO_Software > Legacy Modernisation
Legacy Modernisation.
Decommission legacy data platforms and unlock new cloud-native capabilities.
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Modernise your data landscape with scalable, elastic public cloud services.
We help you deliver more value from your data by removing legacy technology constraints and unlocking new cloud-enabled capabilities.
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Migrate complex transformation and processing scripts.
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Migrate your business processes and analytics.
Apply change management expertise to drive parallel improvements in business processes with cloud, not just your tech stack.
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Consume data directly from source systems.
Ensure your legacy estate doesn’t become a staging environment and connect directly with the systems that produce your data.
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Use OpenAI to accelerate migrations.
Procedurally translate code from SAS into R or Python with Large Language Models to accelerate migration and speed up re-engineering activities.
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IN ACTION
CASE-STUDY_Legacy Modernisation
Innovation in Reinsurance
Modernising legacy to support fully automated underwriting.
Like most businesses in the reinsurance sector, our customer had a decentralised legacy landscape where functional overlap featured heavily. This created inefficiencies for underwriters as they moved between multiple tools and interfaces.
To build commonality and to harmonise the legacy landscape, we designed a common reporting interface at a database level across all Treaty and Facultative business domains to normalise operations, and a common submission and coverage module to define semantics in proportional and non-proportional business. This enabled us to standardise both the way offers are created and signed, and the management of long-tail triangle structures, bringing the workflow into a single tool through automation.
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VALUE-PROP_#1- Legacy Modernisation
VALUE-PROP_#1-Legacy Modernisation
Cloud-native data platforms.
Use Microsoft Fabric, Azure Synapse, Databricks and Snowflake to power your core data infrastructure.
Data and analytics are a critical source of value and insight. But without a strong operating model and a common foundation for your assets, workloads and services, the journey to data-driven can be long, complex and expensive.
We help you combine your databases and data sources with analytic workloads in a unified environment. Our teams help you mature your DataOps approach with packaged architecture, templates, automation and ongoing managed services.
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VALUE-PROP_#2- Legacy Modernisation
VALUE-PROP_#2-Legacy Modernisation
Data-intensive applications.
Ensure your data applications are secure, stable and performance-ready for use in wider business applications.
Underperformant and unoptimised databases can significantly impede your user experience, leading to scenarios like long load times and clunky interactions that frustrate your customers.
We examine the volume, variety, velocity, and complexity of your data. Our experienced teams then design technical application architectures which meet your transactional, analytical and warehousing requirements, with robust batch or stream data processing pipelines and fault-tolerant microservices and APIs.
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VALUE-PROP_#3- Legacy Modernisation
VALUE-PROP_#3- Legacy Modernisation
On-premise to cloud migrations.
Move and modernise your data workloads rapidly, safely and efficiently on Microsoft Azure.
On-premise environments are particularly restrictive to data teams. Running legacy, inelastic platforms is a particular struggle for ML solutions and often results in high data storage costs.
We help you modernise and migrate your data workloads to Azure, giving you flexibility in storage and processing solutions and the agility to adapt to changing business needs. This enables both significant scale-up for ML experiments and spiky workloads, with access to advanced analytic services.
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VALUE-PROP_#4- Legacy Modernisation
VALUE-PROP_#4- Legacy Modernisation
Hadoop to Databricks migrations.
Plan and execute cost-effective migrations to Microsoft Azure.
Many businesses have significant Hadoop estates that are becoming increasingly misaligned with the needs of modern data teams and data-driven businesses. Key issues include scalability and integration limitations, performance bottlenecks, inflexible data processing and limited support.
We help you explore cost-benefit analysis for your Hadoop migration, evaluating impact on performance, security and scalability. We then rapidly migrate workloads to the cloud to reduce cost, optimise resources and deliver new workloads.
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Our customers.
Ascent works with over 150 businesses in the UK, Europe and North America. From global insurance, healthcare and retail to smart home devices, space exploration and cricket - we get to work with some of the sharpest minds in the brightest businesses.
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TILES_Other_Services_Data_#4tiles
Explore our other services.
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Data & AI Strategy
Solve problems, create opportunities and deliver more business value by using your data better.
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Change & Capability
Build the skills and literacy you need to successfully deliver, adopt and exploit new data solutions.
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Data Engineering
Build cloud-native pipelines that accelerate analysis and delivery of business value from your data.
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Modern Data Platform
A modern, composable foundation for your data and analytics services, designed to deliver rapid ROI.
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FOOTER_Lets get started section - DATA
Let’s get started.
We help customers build new data-led business capabilities, services and products, delivering pivotal data and AI projects on the Azure cloud. Got a challenge in mind? We’re ready when you are.
Get In Touch
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