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People before patterns

Demographic segmentation is useful. But it has its limitations. How can we go beyond its aggregated patterns and neat categorisations? Cezanne Joynt, client services manager at Achievement Awards Group, explores the question By using data to get really personal. By...

Digital sovereignty key to data control, security, independence

Working with data can be a blessing and a curse. While it is the definitive factor that empowers digital transformation efforts, aids decision-making and stores an organisation’s most valuable and confidential assets, dealing with data is often a business’ greatest...

Shed the constraints of the monthly close

Despite being separated by almost 600 years, modern-day accountants still share a common practice with Luca Pacioli. Like the father of accounting, today’s finance teams continue to work within the confines of the monthly close, a process that can still take up to 15...

Whose job is it to ensure data is fit for purpose?

Data complexity and the business demand for data is growing in volume, variety and complexity. “Businesses want quicker, more data-driven outcomes, but achieving that involves challenges in data management and transformation. While IT provides the systems, it is the...

Big data answers ‘what if’ questions

Almost any definition of big data is based on Doug Laney’s original preposition of the three Vs – velocity (the data is growing rapidly), variety (the data comes from many sources – both structured and unstructured) and volume (the data is big), says Gary Allemann, MD of Master Data Management. However, there are challenges with the three Vs definition for big data. Furthermore, many organisations believe that big data is business intelligence (BI).

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