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Latest data management publications


The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

Enterprise insight platforms combine data management, analytics, and insight application development tooling to provide insights-driven acceleration in the face of technological complexity. The Forrester Wave™: Enterprise Insight Platforms, Q1 2019 is a 21-criterion evaluation of enterprise insight platforms (EIP’s) detailing key offerings in this space to help CIO’s make the right choice for their business.


The final frontier? How to overcome the age-old remote office IT headache

In many businesses, from retailers and chain restaurants, to health services and government offices, it is the local remote branch which is the prime client interaction point and where the business and the customer meet face to face. As a result, it is where initial client satisfaction is formed and the loyalty journey gains momentum. But, as they are often located outside of where a core facility is for customer convenience, these sites typically don’t have extensive IT staffing and therefore lack the technical resources of core offices. But they do require advanced client service applications with local processing capabilities. If every branch office needs to have its IT configured and deployed separately and in-person, costs are seismic and, in many cases, cost-prohibitive. As a result, remote office edge computing becomes a trade-off between costs and managing delays, service roll out, and mixed customer satisfaction.


Effective data management in a constantly evolving technology world

The vast majority of businesses today acknowledge that their data is important, even critical to their operations. Despite this, however, many organisations fail to take adequate measures to safeguard this crucial asset.

With data breaches caused by cyber-attacks on the rise, protecting data has become paramount, and yet data management often remains an afterthought. It has become imperative to not only develop a data management strategy but harness appropriate technology in the form of a data management platform. This is essential to prevent data loss events from malicious attacks or disasters, as well as for compliance and business continuity purposes.


AI and machine learning are set to transform data management
AI-based data management thinks outside the box, offering more intelligent ways to manage business needs For many companies, the success of companies such as Airbnb, Netflix and Uber makes the attraction of “disruptive technology” seem very appealing. But when it boils down to it – what exactly is disruptive technology, and just how disruptive should... Read More


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