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Latest Big Data Opinions


How Big Data has revolutionised the finance industry

As the global market for Big Data analytics in banking is forecast to grow by an annual rate of more than 22% until 2026, banks are increasingly aware of the importance of partnering with established market players to embed Big Data tools.


AI in a post-pandemic world

No industries have been left untouched by the disruptive impact of COVID-19 and few companies had prepared for the impact this would have on their business. Despite this, companies still needed to make sure they were meeting the demands of their consumers and AI played an integral role in doing so.


From data mess to data mesh: a shift in data architecture

If you speak to anyone working in the data industry about what’s “hot” at the moment, the chances are “data mesh” will be on their list. It has even made its way into the trends that are predicted to disrupt and dominate the data market in 2021.


Future Decision-Making Processes in the Data Science Era

What’s next for decision-making in the era of automation? Mohammad Mahdavi, Professor of Data Science at GISMA Business School, explores.


The Modern Data Warehouse Has Arrived

Modern data warehouses are helping organisations create highly effective strategies that optimise tool selection and data migration and foster coordination.


Making Data Actionable for Manufacturers

When done correctly, bringing manufacturing data to the cloud with AWS can deliver enormous benefits. It can help your team increase productivity and deliver better, more innovative results while positioning your organization well for continued growth and a high level of agility to respond quickly to changing situations.


The Unstoppable Rise of Snowflake

In the almost seven years since Snowflake publicly launched, this software firm has changed the status quo in its industry and skillfully competed with long-standing incumbents.


Becoming a Data Scientist in 2021

Organisations now recognise that a wide range of individuals have the right thinking processes to work in data science. As well as people from computer science and analytic backgrounds such as statistics and engineering, this includes people with backgrounds in physics, chemistry, and biology. Big tech firms have also found that liberal arts graduates are also proving highly successful in data science roles.


How digital ethics drives e-Healthcare systems in the cloud

The ethical challenges, risks, and benefits of using cloud platforms in digital healthcare 


Breaking down walls in a world of siloed communication

The original world wide web was an open and decentralised system. Over the next few years, will we see a full circle return to an open standard that revolutionises real time communication?


Ensuring the ‘C’ in GRC: How to Keep Cloud BI in Order

Information always needs to be properly captured, stored, preserved, and disclosed when required. This issue is exacerbated further in the case of cloud storage, where business records are located outside the company’s perimeter.


Data democratisation: a business necessity for a data-driven world

Businesses are increasingly under pressure to become data-driven, therefore should be expanding their efforts to democratise access to data across the whole organisation. Those that are serious about maximising the value of their data will push to enable employees at every level to understand and utilise the data at their disposal, so that they can harness critical business insights to inform effective decision making.