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Solution Brief

Data-driven government

Digital initiatives across government provide unprecedented opportunities for increased efficiency and innovation. The cost reduction and enhanced customer experience that derive from streamlining citizen interactions are coupled with the promise of better cross-departmental collaboration.

Data Driven Government

Digital initiatives across government provide unprecedented opportunities for increased efficiency and innovation. The cost reduction and enhanced customer experience that derive from streamlining citizen interactions are coupled with the promise of better cross-departmental collaboration. However, the challenges of enormous data growth, data sharing, legacy systems integration and information security need to be resolved to enable the full benefit of these initiatives to be realised.

Throughout the public sector, digital initiatives and "channel shift" offer the potential to both reduce transaction costs and improve the availability and quality of services. However, it is recognised that digital transformation is more than simply moving existing services online. It requires major redesign of existing processes and systems which place greater demands on existing IT systems and may be at odds with the need to reduce operational budgets and minimise staff costs.

Features and Benefits

The capabilities that set Data-driven government apart.

The growing importance of data

Data as a strategic asset

Whichever deployment method is adopted, data is the strategic asset which must be securely stored, yet made available to deliver the much sought-after inter and intra-agency sharing and collaboration. This is evidenced by the Department for Digital, Culture, Media & Sports (DCMS) establishing the National Data Strategy and the appointment of Chief Data Officers in major organisations.

Pressure on leaders

Leaders are under enormous pressure to harness today's volume of data and apply it to create new value across the entire organisation – all within limited skills and budgets – and whilst preserving the trust of citizens. It is recognised that digital transformation in most cases requires IT transformation.

Hybrid cloud risk

The risk of a hybrid cloud model is the potential of creating "islands of data" stored on different platforms in different locations with different standards. This leads to greater levels of security risk and the potential for duplication of information with an inability to exploit the data for analysis and further innovation.

Common challenges across a hybrid cloud

Inability to move data

After an organisation's data has been stored in a particular cloud, it is often difficult and costly to move it to a different provider.

Inconsistent data management and standards

Each environment has a different set of tools and management software that make it difficult to apply consistent policies to data. IT staff must learn how to use all of these tools and applications to operate effectively.

Limited choice

New technologies and services that do not integrate with existing environments are difficult to adopt. As a result, organisations have limited technology choices and an inability to exploit new technologies and capabilities.

Lack of control

Data is a business-critical asset for all public sectors organisations. IT must be the stewards of that data no matter where it is. Storing that data in a cloud where there is little visibility into how it is protected and governed can introduce unacceptable risk.

NetApp Data Fabric Capabilities

Discover

Discover resources and understand the current state of the data, applications, systems and services.

Integrate

Integrate disparate data services so that they can be managed in a coherent way.

Automate

Automate operations and define rules so that the fabric can take care of itself.

Optimise

Optimise the fabric over time by monitoring and reacting to changes over time.

Protect

Protect data through effective backup and recovery.

Secure

Secure data everywhere to simplify compliance, preserve integrity and control access.

How NetApp Data Fabric supports IT leaders in government

Accelerates digital transformation

Accelerates digital transformation initiatives by increasing the velocity of test/development activities to reduce the "time-to-market" for new services.

Accelerates cloud first policy

Accelerates the adoption of a "cloud first" policy without increasing data governance and security risks.

Enhances organisational agility

Enhances organisational agility by allowing cloud services to be turned on/off in response to changing business demands and/or changes in economics and by delivering the agility/elasticity of the cloud but with the control and management of an internal private cloud.

Reduces lifecycle data management costs

Reduces lifecycle data management costs by utilising a common data management platform from inception through to archive; high-performance strategic applications through to large scale information repositories.

Reduces IT staff costs

Reduces IT staff costs by utilising a single data management tool across clouds, leveraging the significant pool of existing NetApp experience within UK public sector entities.

Supports austerity measures

Supports austerity measures by reducing the costs associated with data storage.

Avoiding cloud lock-in

Reducing cloud storage

Reducing the amount of cloud storage required by automatically compressing and de-duplicating data.

Efficient backup copies

Providing efficient backup copies of data which consume very little incremental storage.

Reduced data transfer costs

Reducing data transfer costs through the utilisation of the highly-efficient NetApp replication technology.

Consistent data management tools

Providing consistent data management tools for managing on-premise and cloud storage.

Accelerated application development

Accelerating application development by supporting the latest dev ops workflows and methodologies.

Visibility of cloud costs

Providing visibility of cloud costs through a single management portal.

Securing business-critical data

Backup and recovery criticality

From collecting population data to preserving patient records to collecting tax receipts, government generates significant quantities of data that needs to be stored and kept safe in case of a disaster. Backup and recovery is critical to the successful operation of any IT system. The loss of data has operational and monetary implications and can set an organisation back years in terms of research and operations – representing an unacceptable loss of time and money – and potentially impacting public trust.

Cloud-based backup/DR

Backup/DR is emerging as one of the most viable use cases for the cloud. Sending backup data into the cloud can eliminate common backup problems and provides additional flexibility in the event of a disaster. As data does not need to be routinely accessed, on-going costs are minimized and once in the cloud, the data will remain there until you need to access it. Furthermore, data can be protected with the newest security technologies available (such as encryption) which protects against unauthorised access.

Seamless integration

Building a data fabric can help government organisations seamlessly integrate cloud-based backup and recovery into an overarching data management strategy. By avoiding the need to use proprietary software, organisations can leverage their investment in existing software tools with the option of creating a local backup repository if required. Advanced de-duplication and compression saves network bandwidth and the use of encryption for data "in flight" and "at rest" protects against unauthorised access. By using an "incremental forever" backup strategy, the need for periodic full backups is eliminated - which in turn reduces backup windows and provides faster data recovery as well as reducing the storage capacity requirements at the destination.

Preserved investment

By preserving the investment in existing tools, scripts and processes, the NetApp solution also reduces on-going administration costs by avoiding the need for re-training etc.

Accelerating key business applications

Increased performance

Increasing the performance of key online transactional applications.

Maintained availability

Maintaining availability at peak times and ensuring quality of service of business-critical services.

Up-to-the-minute developer copies

Providing developers with up-to-the-minute copies of production data for test purposes with little implication to performance or cost as well as tight integration with open source automation and deployment tools such as Docker, Flocker, Mesos etc.

Artificial Intelligence (AI)

Accelerate Your Data Pipeline

  • Get up and running faster with the NetApp ONTAP AI validated reference architecture from NVIDIA and NetApp.
  • Increase training throughput—up to four times faster than competing solutions.

Streamline DataOps

Automate the deployment of Kubernetes on NVIDIA DGX supercomputers with Ansible modules for NetApp.
  • Enable persistent storage for Kubernetes with Trident.

Simplify Version Control for Machine Learning

  • Monitor and track every version of your experiments using fast, space-efficient NetApp Snapshot copies.

Tap into the Cloud

  • Take advantage of innovative AI software in the world's largest clouds, while retaining NetApp data management and NFS capabilities.

AI potential in government

Artificial intelligence (AI) has tremendous potential to improve the lives of citizens and help government organizations deliver on their missions—reducing pollution, saving and generating energy, improving safety and privacy, improving public health, enhancing agricultural outcomes, enabling smart transportation, and optimizing infrastructure.

Current AI usage

Most government organizations are using AI in some way today, starting with foundational applications such as voice assistants, chatbots, and big data analytics. For example, the U.S. Postal Service uses handwriting recognition technologies to sort mail by ZIP code. In the UK, a recent study by NetApp found that over 50% of NHS Trusts are using AI to alleviate the pressures placed on healthcare workers, to improve the quality of care and fast-track medicine delivery to patients.
Expert Guidance

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Get tailored advice on how Data-driven government fits your environment — from sizing and deployment to long-term optimization.

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Technical Specifications

Exhaustive hardware and software metrics extracted directly from official documentation.

  • Public Cloud Providers
    AWS, Microsoft Azure, Google Cloud Platform
  • Deployment Model
    Hybrid cloud
  • Service Provider Network
    More than 250 service providers across the globe

  • Validated Reference Architecture
    NetApp ONTAP AI from NVIDIA and NetApp
  • Training Throughput
    Up to four times faster than competing solutions
  • Kubernetes Deployment
    Automated on NVIDIA DGX supercomputers with Ansible modules for NetApp
  • Persistent Storage for Kubernetes
    Trident
  • Version Control
    NetApp Snapshot copies

  • Data Reduction
    Automatic compression and de-duplication
  • Encryption
    Data "in flight" and "at rest"
  • Backup Strategy
    Incremental forever
  • Replication
    Highly-efficient NetApp replication technology
  • DevOps Integration
    Docker, Flocker, Mesos

  • UK Government Guidance
    Cloud Guide jointly published by Crown Commercial Services and Government Digital Service (GDS)
  • UK National Data Strategy
    Established by Department for Digital, Culture, Media & Sports (DCMS)
  • NHS AI Adoption
    Over 50% of NHS Trusts are using AI

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