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Whitepaper

Data virtualisation: a brief guide

CIOs must contain costs and respond quickly to business needs with robust decision support systems.

Very often, this requires harnessing a vast array of structured and unstructured data – data which will have proliferated exponentially in recent years, with minimal governance.

One solution adopted in some organisations is to invest in a parallel business intelligence (BI) system, one that sits outside of all of the complexity. However, parallel BI systems actually introduce a whole new range of challenges and eat up investment.

The best solution is data virtualisation, the versatile "Swiss knife" in the enterprise data tool box. With data virtualisation, you can unlock value without increasing resources, processes or technology investments – no complex transformation is required to deliver results.

Our whitepaper, Data Virtualisation: a brief guide to a swift and simplified view of complex data, provides you with:

  • a summary of data virtualisation and how it works
  • an overview of when data virtualisation is viable and when it isn't
  • the use case for a flexible analytics solution
  • a summary of other considerations with data virtualisation

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Video

Data Virtualisation explained

Within a typical large enterprise, different systems, data stores and data structures will have developed organically over time, presenting a significant challenge to harnessing that data to provide actionable insights and drive evidence-based decision making.
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Customer Success

Making data available to developers using APIs

Application programing interfaces (APIs) underpin common actions such as posting on social media or buying a concert ticket online— they are key to bridging the gap between legacy applications and innovative digital solutions.

APIs enable Chief Information Officers (CIOs) and Chief Digital Officers (CDOs) to develop a strategy that enables application modernisation and reduces the friction between legacy and modern systems.

We have already used APIs to help our clients to:

  • Catalogue their application portfolio
  • Optimise assets like data and transactions
  • Address problems such as skills gaps or legacy integration

A UK government department has a back-end tidal protection system, built using accurate and reliable data from the UK’s largest network of tidal stations. They need to make this prediction capability available as an API to developers across the UK using a subscription (paid and free) model.

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Customer Success

Implementing intelligent automation at Together

Intelligent Automation provides a fast, cost effective and scalable solution that meets the need to enable cost reductions, optimise processes and provide valuable insights.

Chief Executive Officers and Chief Finance Officers need to optimise key processes in a legacy environment of on-premise applications and inefficient processes. According to Gartner, almost 90% of general accounting operations and over 70% of financial reporting activity are highly automatable processes.

We have already used Robotic Process Automation (RPA) to help our clients to:

  • Select the right use cases based on robust discovery processes
  • Choose technology that meets their needs now and in the future
  • Scale out to other functions
  • Train a core team and drive cultural change

Our client, Together wanted to use RPA to drive out inefficiencies with existing manual processes, create business value and lower operational costs while at the same time supporting the long term business strategy.

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Customer Success

Leading automation for the Ministry of Justice

IT Operations leaders can increase the agility of their infrastructure using DevOps tools and techniques such as continuous integration, continuous delivery and automation for operations.

DevOps offers the greatest benefits as a shared journey where both development and operations have to adopt new practices to accelerate business agility and fulfil organisational goals.

DevOps automation has already helped our clients to:

  • Create deep, sustainable collaboration between Operations and Development teams
  • Effect organisational change to support DevOps at scale
  • Follow an incremental approach to building capability

The Ministry of Justice is creating a new platform to develop efficient and accessible digital services to deliver access to justice using appropriate channels. They engaged us to lead the automation.

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