OUR PARTNERS
Our speciality is analytics and AI services delivery - we enable analytics within your organisation to allow you to derive more detailed insights about your own business.
Read more About ISx4ISx4 deliver Insight through Analytics, AI, Strategy, Solutions, Services & Support.
We bring 30 years of industry experience to help derive competitive advantage by moving our clients from Hindsight, through Insight to Foresight.
We create, deliver and manage analytics solutions in all areas of the organisation to include Finance, Risk (including fraud, waste & abuse), Customer Marketing, HR, IT, Audit, Logistics, AML, ALM, Clinical Trials, Life Sciences and Platform Support.
Our services are increasingly relevant and in demand as analytics services become a core competency in every area of the business.
Customers & staff located throughout Europe. (UK, IRL, PRTGL, NL, IT, ESP, BELG)
ISX4 are formal certified partners with SAS, Anaconda, IBM, TORI Global, Hortonworks Cloudera, Microsoft and AWS. These strategic partnerships allow us to remain vendor neutral and focused on our core competency area of analytics services delivery.
At ISx4 we offer Insight, Strategy, Solutions, Services & Support through Data Analytics and AI. Our team of specialists are experts in all aspects of analytics and can help with Strategy Creation, Solutions Implementation, Services Delivery and In-Life Support of all Analytics and Generative AI solutions and environments.
Create a business aligned bespoke plan of action to achieve long term analytics benefits
Recommending analytics techniques, tools and technologies to derive customer insight
The provision of experienced SME and technical delivery implementation resources
The In-Life and BAU management and support of analytics solutions and environments
The drive to use analytics is affecting every business and every department within a business. Analytics is being used to drive 1-2-1 marketing campaigns, to identify fraud, to predict which servers in a data centre are about to fail, to predict what customer will leave and what product customers are more likely to make additional purchases. Analytics, today, is affecting people’s everyday lives and often in ways that people don’t realise – Amazon predicting what book you should buy next; the increasing use of personal assistants such as Siri. This impact is about to increase significantly as we move into the Internet of Things (IoT) era.
Whereas analytics used to be the role of a small IT group within a company, it is becoming more widespread, prevalent and crucial to the success of core business functions. This analytics strategy supports an organisations analytics vision to move from Hindsight into Insight and ultimately Foresight. Many companies are currently in the siloed analytics and business intelligence world where each business unit is autonomous. This leads to duplication of data, resources and a high dependence on IT for support and implementation.
An analytics vision aims to move an organisation towards higher levels of analytics maturity that is under-pinned by a governed data platform where end users are enabled and empowered to be analytically independent and self-serving. Many business units operate in their own silo and are swamped in spreadsheets and time consuming manual data operations. This analytics strategy aims to automate many of the manual data processes to allow users focus on gaining insights and ultimately moving to generating valuable business foresight.
Many companies struggle to implement an agile analytics solutions under a defined set of requirements. Most companies lack the availability of internal expertise to define and manage this from end to end, so finding a trusted solutions partner is critical.
Key considerations include
Your partner should also take data security as seriously as you do. The big data analytics solutions should be compliant with the rules and regulations specific to your industry. Your partner should be fluent in the specific data security challenges your company faces.
Finally, it can be easy to get bogged down with the volume of big data. The right partner knows that it is not the volume, but the value of the insights your big data analytics solutions can deliver that will provide your business with advantages. Your partner should be able to help you define clear and measurable goals upfront to better ensure project success.
This is where our experience and value add comes into play – we have been there done that and seen the results. That is why we will only provide best practice solutions advise and guidance. We will challenge your thinking.
The three primary steps to delivering analytics are:
The Analytics Journey is summarised as follows:
The first step is an Analytics Readiness Review (ARR). The purpose is to assess where a business unit sits on the Analytics Maturity Model and to investigate and document how analytics can add value. An output of the ARR is an Analytics Roadmap. It documents the plan for delivering analytics; identifies suitable projects with associated actionable insights and decision points; identifies the skills required and the technology enablement required. The Analytics Delivery phase then follows. The first deliverable is often a Proof-Of-Concept/Value of one the analytics projects identified in the Analytics Roadmap.
The Analytics Maturity Model(AMM) is used as a guideline to assess the level of analytics maturity. The AMM provides an overview of the various levels of analytics maturity that exists across all organisations. It does not call out specific analytics techniques but rather sets out the types of analysis organisations perform and the competitive advantage that can be gained from increasing levels of analytical maturity.
The AMM lays out the various stages of analytics maturity within an organisation or department. The AMM provides the following:
Analytics In Life Support has 2 main focus areas:
Once the initial analytics implementation is complete, the project becomes part of the business as usual process. All analytics projects follow a similar cyclical flow known as the Analytics Lifecycle. Unlike other IT projects, analytics projects usually have a shorter lifespan. For example, an analytical model to predict customer churn will typically need modification or refreshing after 12 -18 months (or sooner depending on external factors).
ISx4 have worked with a medium sized bank on its extensive & complex analytics platform to provide analytics leadership, direction and support through a three pronged process of stablise, embed & enhance (…)
ISx4 achieved increased detection and investigation capabilities for a UK government department by migrating data and services to a new cloud-hosted solution. End-to-end processes were enhanced providing (...)
ISx4 have worked extensively to Design, Build, Modernise, Implement and Support a Boxing Analysis Dashboard. We implemented an innovative build and personalised (...)
ISx4 have worked extensively to Design, Build, Modernise, Implement and Support a validated SCE environment in a Life Science organization. We implemented an innovative build (...)
ISx4 worked with a large European Financial Services Institution on an end to end restructuring, re-platforming and operating model transformation programme for the entire Finance and Risk estate (…)
ISx4 migrated a business critical on-premise solution to a technology refreshed open access cloud-based environment, for an AI Programme at a UK government agency (...)
Kielty Hughes
CHIEF EXECUTIVE OFFICER
Darryl Hemsley
CHIEF OPERATING OFFICER
John Haughey
NON EXECUTIVE DIRECTOR
ISx4 offer more than a job – its a crucial step in your career development journey. We understand and acknowledge this fact. We want your career to flourish with ISx4- because when your career flourishes – you excel – when you excel, our business excels and our customers reap the benefits.
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