We help businesses drive rapid ROI from their data investments, with an automation-first approach that leverages the power of Azure.
Template | Services | 2 column - section 1
Data and analytics are a critical source of value and insight for your business. But without a strong operating model and a common foundation for your assets, workloads and services, the journey to data-driven is destined to be long, complex and expensive.
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Template | Services | 2 column - section 2
Ascent’s Intelligent Data Platform is a modern, composable foundation for all your data and analytics services. Designed specifically to deliver rapid return on investment, it spans the data value stack, from core infrastructure, ETL and BI to AI and data science. Connect siloed data, measure a range of KPIs, create beautiful reports and build actionable insight and predictive foresight with advanced analytics.
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CLONE 1 IDP | Solutions | 4 Grid Benefits
Template | Solutions | Element 1
Technical.
Agile and adaptable standardised DevOps processes.
Swift problem identification and resolution.
Accelerated product life cycles with continuous delivery.
Unified Azure DevOps and GitHub interfaces promoting widespread DevOps adoption.
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Template | Solutions | Element 2
Project.
Streamlined project management and planning.
Rapid project onboarding to the DevOps pipeline.
Comprehensive visibility and control of the software supply chain and operation.
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Template | Solutions | Element 3
Cultural.
Motivated, engaged, and productive teams.
Enhanced professional development and cross-department knowledge exchange.
Seamless access to Azure DevOps and GitHub innovations and updates.
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Template | Solutions | Element 4
Business.
Quicker time-to-market for products and features.
Stable operating environments resilient to failure.
Increased time for innovation and customer-focused development.
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CLONE 1 IDP | Services | Diagram
Manage risk, enhance experience, build trust.
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Case Study
Solutions - Insurance - Case Study
Innovation in Reinsurance
Delivering platform transformation to support fully automated underwriting.
Like most businesses in the reinsurance sector, our customer had a decentralised legacy landscape where functional overlap featured heavily. Different applications - each covering the net/ gross pricing workflow - had been created for specialised Treaty and Facultative areas. This created inefficiencies for underwriters as they moved between multiple tools and interfaces.
Find out how we helped create a unified, streamlined underwriting platform geared for scale, consolidating legacy applications into a fully automated process.
Logo- Data - Case Study - InsuranceCampaignCaseStudy
Access out-of-the-box enterprise capability and process data of any volume, variety or velocity in an elastic, secure environment.
Built on proven enterprise reference architecture, your intelligent data platform combines your operational databases and data sources with analytic workloads in a single unified environment.
Our automation-first approach, architectural patterns and delivery methodology enable us to size, build, configure and deploy your platform within a week, so you can start proving and building value fast.
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CLONE 1 IDP | Services | Value Prop #2
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Accelerate deployment.
Leverage repeatable processes and best practice Agile delivery, empowering your teams to rapidly iterate and optimise.
Innovate faster, capitalising on our economies of experience to build new business and technical capabilities in a unified, scalable data environment.
The combined strength of our people, process and tools streamlines business value discovery and deployment with proven methodologies, architectures and delivery accelerators.
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Reduce total cost of ownership.
Ascent’s Intelligent Data Platform is purpose-built for optimal operations, governance and cost management.
Mature your data ops approach with packaged architecture, standard templates, methods and automation.
We manage and optimise your platform, fine tuning it to your needs with ongoing actionable insight into cost, security and sustainability.
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CLONE 1 IDP | Services | ValueProp #4
CLONE 1 Template | Services | ValueProp4 | Prop4
Reduce risk.
Through PaaS-based proven reference architecture, connectivity and examples, built on core security principles.
Proven, certified Azure expertise as Microsoft Designated Solution Partner for Data & AI with an audited specialisation in AI and Machine Learning.
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CLONE 1 Diagram | Get the latest from our sector and domain
Get the latest from our sector and domain
Watch the video, read the whitepaper, explore the case study.
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CLONE 1 IDP | Services | 4 column | Get the latest from our sector and domain
Clone 1 IDP | Services | Diagram text #1
Deploy as a standalone landing zone or connect to your enterprise.
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CLONE 1 - IDP | Services | Diagram text #2
Right-size to your organisation, requirements and workloads through configuration and enhancements.
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CLONE 1 - IDP | Services | Diagram text #3
Ongoing support and management to standard operational and custom KPIs
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CLONE 1 IDP | Services | Diagram text #4
Range of collaboration options to complement your in-house expertise.
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CONE 1 IDP | Services | 5 Steps
If you use R in your organisation, the EARL Conference is for you and your team.
EARL offers great opportunities to learn technical skills and gives you the chance to explore solutions to the common issues facing the community. In conversation with your team, here’s some of our top reasons EARL needs to be on your list of must-attend conferences:
IDP_Reason1
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Versatility.
Deploy as a standalone landing zone or connect to your enterprise.
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IDP_Reason2
2
Made to measure.
Right-size to your organisation, requirements and workloads through configuration and enhancements.
False
EARL 2022_Why Attend EARL_Reason3
3
Fit your needs.
Ongoing support and management to standard operational and custom KPIs.
False
EARL 2022_Why Attend EARL_Reason4
4
Expand your network.
Invaluable networking opportunities abound throughout the conference. Meet like-minded professionals and enjoy a cocktail with the best in the business at the evening reception on Day 1.
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EARL 2022_Why Attend EARL_Reason5
5
Creative playground.
Bring your team and get inspired by the latest solutions, exploring accessible ideas that you can take back and implement in your business.
At this year’s Global Insurtech Summit in London on 18th April, Fintech Global interviews Robert to draw on his extensive experience and deep expertise in insurtech. Listen now.
Global insurtech summit, insurance, insurtech, insurers, reinsurers, Konrad Pfeffer, future-proof insurer
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2023-05-25T23:00:00Z
Robert Rimmele, Principal Architect at Ascent, shares his insights on the value of data, automation, and AI in insurance.
Are insurance firms fundamentally IT companies? How do we automate while giving customers a seamless experience? What do insurers really aim to achieve with AI?
At this year’s Global Insurtech Summit in London on 18th April, Fintech Global interviews Robert to draw on his extensive experience and deep expertise in insurtech.
Robert answers the following questions:
What are some of the biggest trends you are seeing in insurance?
How can improved data tools help insurance companies transform their operations?
Why is effectively leveraging data so critical in a highly competitive environment?
How should insurers be leveraging automation within their workflows?
How is Ascent helping insurers with their digitalisation efforts?
Robert Rimmele
Principal Architect
Ascent
Robert is a Principal Architect at Ascent, with over 20 years’ experience of delivering practical technical consulting to global insurers and reinsurers. His main interests are large-scale architectures for data intensive applications and software development models and organisations.
Our customer is a leading global provider of reinsurance, primary insurance and insurance-related risk solutions, with a reputation for innovation.
The brief.
Like most reinsurers, our customer had a decentralised legacy landscape with heavy functional overlap across a diverse range of technologies. Different applications — each covering the net/gross pricing workflow — had been created for specialised Treaty and Facultative areas. This created inefficiencies as underwriters moved between multiple tools and interfaces to complete pricing processes.
We were initially engaged to help create a unified, streamlined underwriting platform geared for scale, consolidating legacy applications into a single integrated workflow. Over time, these original requirements evolved into an innovation-led roadmap that would enable our customer to build competitive edge with second and third generation pricing capabilities. This included developing the ability to flexibly combine and link mathematical models across business segments, and later the ability to fully automate the underwriting process, using meta data to build new models that cover new risks and enable the processing of dark data.
The solution.
A multi-year project. Multiple teams. Multiple countries. We worked closely with actuaries and underwriters on a daily basis and built the deep domain knowledge to deliver success for our customer.
Underwriting platform
We consolidated net pricing kernels (developed by the actuaries under a common loss component interface) and introduced a Common Gross Pricing calculation that incorporated loadings and contract conditions.
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.
Exposure
We then built a system that would manage detailed location-based exposure data from various sources and formats ranging from EDM to Excel input.
The exposure system is cloud-native, built on Azure for scale, and accommodates varying modelling workloads and large exposure data volumes. Exposure data is transformed and normalised into a format where it can be analysed and used for natural catastrophe model runs, additionally interfacing with the underwriting platform where it is used to shape pricing.
Automated underwriting platform
To further competitive edge through digital innovation, we created a channel proposition for the insurance sector that transforms time-to-market for new products and services via a fully automated underwriting process.
The outcome.
The integrated underwriting system now allows thousands of underwriters across the globe to efficiently calculate reinsurance coverages, using significantly fewer tools. The new reporting interface has also given Corporate Underwriting a consolidated view of performance across all Treaty and Facultative insurance products.
The exposure system enables our customer to minimise the operational burden in risk analysis and modelling, and to improve modelling productivity overall — accessing, calibrating, comparing and deploying risk models in one place.
The automated underwriting platform has helped our customer maintain their position at the frontier of insurance innovation, helping its channel partners launch, distribute and scale new or existing insurance products significantly faster, reducing costs and increasing process efficiency.