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Seeing as I’m currently working at large for a federated organisation with significantly different and siloed business streams that are managed through a plethora of different systems – ranging from 30-year-old mainframes to modern in-cloud platforms – the topic of data fabrics is very interesting to me. Even more so given how I’m coming from …
It is widely accepted that the Internet of Things (IoT) relates to the concept of ‘widely connected hardware’. Its impact is vast, because any physical object, which has a sensor attached to it, can be turned into a digital data generating machine – rapidly producing more data than most organisations have the capability to report …
I recently attended the 2014 SAP APJ (Asia-Pacific-Japan) Field Kick-Off conference in Singapore. It is an annual regional event held by SAP to kick-start the year for sales staff and partner channels combined. Other similar regional events are held in China (recently split off from APJ), Europe and the Americas. It is very interesting how …
Business analytics lies at the intersection of four disciplines, namely business strategy, business analysis, business intelligence and advanced analytics. In order to provide value to the organisation, business analytics have to serve a purpose, deliver new insights, be actionable, and in some cases also be very dynamic. This post is a high level summary of …
In a previous post on in-memory databases I gave a high level overview of SAP HANA, Oracle TimesTen and IBM’s solidDB. In this post I discuss temperature-based memory management for data warehousing, as implemented in the Teradata Intelligent Memory release. Databases with a large in-memory capacity have an appeal for on-line transactional applications, as well …
While fraud may be a concern for many busy business professionals and organisational decision makers today, the evidence suggests it is becoming more prevalent in the healthcare industry. The amount of data that goes through healthcare systems on a daily basis is phenomenal. Applying advanced analytics to all that data can assist in combatting fraud. …
I have just returned from attending the SAP Asia-Pacific-Japan (APJ) Field Kick-Off Meeting (FKOM) in Singapore, an annual event where SAP presents their key strategies to energise their regional staff and partners. I came back with two clear messages, namely that SAP has reinvented itself as one of the top 3 IT solution platform vendors, …
Applying predictive analytics to real-time data feeds should be done to not only make better business decisions faster, but also to optimise potential opportunities as they materialise, react quicker to possible threats and mitigate any potential risks within the broader business. However, implementing real-time advanced analytics requires a different approach and a different toolset.
Data Quality is essential for Real-Time BI efficiency In my previous two blogs I focussed on the actions an organisation should take to implement and improve real-time BI. In this post I continue with the theme, focussing on the importance of data quality in the real-time BI environment and in the real-time BI processes. Data quality directly …
Training your analytical team is a key enabler to achieving real-time BI Achieving real-time BI is a key objective for many businesses today, as this enables them to make better informed business decisions faster. In my previous post, I discussed the real-time value of Business Intelligence and in particular the recommendation to utilise the measure …
