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Given the rapid push towards the digitalisation of business in 2020, Artificial Intelligence (AI) has gained attention and as a critical enabler in this regard. In April this year, while delivering on the company’s quarterly earnings report, Microsoft CEO Satya Nadella said that “we’ve seen two years’ worth of digital transformation in two months.” It …
In an age where the role of a Chief Data Officer (CDO) and Chief Information Officer (CIO) are used interchangeably, it is easy to get them confused. In my personal experience in the Business Intelligence (BI) space, I have learnt to ‘accept’ the confusion. Though, I say ‘accept’ here lightly, because the hype and confusion …
The utilisation of analytics in the sports sector is rapidly increasing. As a keen sports supporter I find this fascinating. Personally I think it’s one of the biggest growth areas for analytics.
Following on from my previous blog on the topic of Enterprise Information Management, I now focus on two specific areas of EIM, namely data governance and data quality management, which should be key focus areas for businesses in 2017.
If you had told me a decade ago that big data was going to get bigger, I may not have believed you – given that most IT terms are often surrounded by so much hype, and given that growing data types and volumes is, in fact, nothing new. Many people thought this ‘fad’ would not …
It’s been very interesting to watch how some organisations have managed to demonstrate the value of information – while others are still struggling to organise their strategies in order to try and reap the rewards that data can offer. In this post I explore why an information strategy is necessary, especially in an organisation that …
Some days I get really flexed out of shape about the rate at which new terms become spontaneously combusted in the BI and analytics industry. The latest I came across is the term “elastic data warehouse.” So what are we doing here – bending the rules, stretching the imagination or flexing our muscles here? Now …
In order to cater for the demands of a modern data-centric and analytics-driven organisation, one needs a more extensive ecosystem for analytics than what a traditional simple “data source – ETL – data warehouse – dashboard” environment can cater for. This is especially relevant considering the more complex data types and structures and the more …
The increased use of analytics, coupled with an exponential growth in the volume and complexity of data, has changed the business intelligence landscape forever. Business users’ sophistication has extended beyond descriptive reports and dashboards into data exploration, predictive modelling and aspects of cognitive computing. Traditional requirements-driven ETL, data warehouse and reporting approaches do not meet …
With all the talk and hype around technology and the benefits it provides, which supposedly must be capitalised on for organisations to remain competitive, organisations have to focus even more on the customer to stay competitive. How many organisations really utilise their tech to be more customer centric?
