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    Data analytics platform accelerator

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    Sold by: Softwire 
    If you see potential to gain greater insights from your data, but have been frustrated by data being locked away in disparate silos with inconsistent or incompatible formats, Softwire have a proven approach to establishing a unified cloud-based data analytics platform, allowing you to quickly realise benefits from real use cases, and progressively unlocking more value from your data.
    Listing Thumbnail

    Data analytics platform accelerator

     Info
    Sold by: Softwire 

    Overview

    If you see potential to gain greater insights from your data, but have been frustrated by data being locked away in disparate silos with inconsistent or incompatible formats, Softwire have a proven approach to establishing a unified cloud-based data analytics platform on AWS, allowing you to quickly realise benefits from real use cases, and progressively unlocking more value from your data.

    Our core platform is based on Apache Spark (an industry standard technology for large-scale data analytics) running on AWS EMR, along with other standard AWS platform services (storage, identity & access management, networking, etc.) configured by us to provide a secure and robust environment for storing and processing data from day one.

    Our implementation approach is based on experience from our track-record of successfully delivering solutions to every part of the data analytics problem space, including:

    • Ingesting data from disparate sources (both cloud and on-premise), developing approaches to robustly ingest large volumes of data at speed without impacting the source systems
    • Harmonising, linking, anonymising and aggregating data to allow analysis to be performed across your data estate, while providing safeguards against improper usage or disclosure
    • Enabling usage of data for a range of analytical purposes, such as: creating BI dashboards, generating static reports, training AI/ML models

    We maintain up-to-date core infrastructure definitions which enable us to quickly deploy a secure core platform on AWS following industry best-practice for data ingestion, storage, and processing. This allows us to focus our time and effort on tailoring the platform to your particular needs, based on your data landscape and analytical use cases.

    We start by working with you to identify key use cases that are most valuable to your organisation, and the data sources that could support these. Focusing on these use cases first allows us to provide some quick wins while laying a solid foundation for a more comprehensive platform.

    Our approach to data architecture allows us to build a platform to handle disparate data sources and produce a single unified view to enable rich analytics. Common features include:

    • Linking together a mix of very different kinds of data source, e.g. traditional databases alongside images with associated metadata
    • Flexible interfaces accommodating a mix of batch- and stream-based datasources, to provide up-to-the-minute datasets for analytical users
    • Pseudonymising and aggregating data through auditable automated processes, and separating more or less sensitive datasets into separate security permiters, providing greater control over access and disclosure
    • Platform observability through detailed telemetry and logging, enabling rapid identification of and recovery from platform issues or upstream failures, minimising impact and ensuring continuity of service to users or downstream consumers
    • Lineage from to individual data sources through to generated outputs, supporting audit and governance, while also making it easier to understand the value that different data sources provide in terms of the outputs that they drive

    Highlights

    • A proven approach to build a robust end-to-end data analytics pipeline, providing a secure foundation with the ability to adapt to your data landscape
    • Implementation from our data engineering experts (with a track record of success across multiple business domains), to develop solutions to your key organisational needs and most valuable use cases
    • Support for a variety of BI analytics dashboards, execution of Machine Learning models, and secure controllable data export where appropriate

    Details

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    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    You'd have direct engagement from our team of data engineering experts throughout the implementation of the data analytics platform.

    One of our experienced principals will oversee the implementation, providing additional risk management, acting as the primary contact for escalation or governance, and helping to stretch and challenge the team to ensure we're delivering the best possible outcomes.

    We can provide full training and handover to your own internal IT teams as part of the implementation, or take on long-term support of the platform if you don't have the necessary skills in-house.

    Softwire support over 40 services across more than 20 clients.​ We work under a flexible T&M retainer model, guaranteeing the availability of experienced developers to respond to prioritised incidents, with the ability to this scale capability to meet each client's evolving needs.

    For examples of the kind of long-term support we provide, see our work supporting and enhancing the UK's voter registration service , or being Channel 5's flexible digital engineering partner .

    For more information contact info@softwire.com