Tag Archives: Data

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The need to clean data for effective insight

There is more data today than ever before. In fact, the total amount of data created, captured, copied, and consumed globally has now reached an incredible 149 zettabytes. The growth of the big mountain is not expected to slow down, either, with it expected to reach almost 400 zettabytes within the next three years.
Whilst more data generally leads to more insight, the quality of that insight can only be as good as the quality and relevance of the data going in. Ensuring that the right data is collected − not just in terms of volume but in context and accuracy too − is paramount. Once this bad data infiltrates the system, problems begin. Yet, keeping data clean and true can be a real challenge.

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Why a data strategy underpins a successful AI strategy

AI and machine learning offer exciting innovation capabilities for businesses, from next-level predictive analytics to human-like conversational interfaces for functions such as customer service. But despite these tools’ undeniable potential many enterprises today are unprepared to fully leverage AI’s capabilities because they lack a prioritised data strategy. Bringing siloed and far-flung unstructured data repositories into a single, accessible source is one of the enterprise inhibitors of being able to utilise AI effectively.

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Fixing the Public Sector IT Debacle

Public sector IT services are no longer fit for purpose. Constant security breaches. Unacceptable downtime. Endemic over-spending. Delays in vital service innovation that would reduce costs and improve citizen experience.

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Unlocking productivity and efficiency gains with data management

Enterprise data has been closely linked with hardware for numerous years, but an exciting transformation is underway as the era of the hardware businesses is gone. With advanced data services available through the cloud, organisations can forego investing in hardware and abandon infrastructure management in favour of data management.

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Unlocking productivity and efficiency gains with data management

Enterprise data has been closely linked with hardware for numerous years, but an exciting transformation is underway as the era of the hardware businesses is gone. With advanced data services available through the cloud, organisations can forego investing in hardware and abandon infrastructure management in favour of data management.

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The Risk of IT Business as Usual

IT teams within mid-sized organisations are over-stretched. Resources are scarce, with sometimes skeleton teams responsible for all aspects of IT delivery across large numbers of users. With up to 90% of the team’s time being spent ‘keeping the lights on’, there is minimal scope for the strategic thinking and infrastructure optimisation that business leaders increasingly demand. Yet without IT, businesses cannot function. And in many cases, there will be compliance or regulatory consequences in the event of a data breach.

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A New Journey to the Cloud

ERP implementation has changed. And for those companies facing the 2027 maintenance deadline for SAP ECC 6, that is good news. In today’s cloud-first, ‘adopt not adapt model, there are no more white boards. No more consultants offering to customise software to meet any business need. And no more long drawn implementations – followed by expensive and disruptive upgrades and a complete loss of commitment to using technology to accelerate change.

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Data literacy: Five reasons CDOs must lead with it

Turning business data into business value is not as straightforward or clear as it appears on paper. But those who don’t will lag further behind their competition – potentially waking up to the fact that they are on the back foot when it is already too late.

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