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Today, small and large businesses collect more and more data. Decision makers can sometimes feel overwhelmed by this amount of data and the critical information they need is often lost. As a result, the decision process is impacted and loses its effe...
While PLM manages products from ideation to sourcing and supply chain, Product MDM extends the capability to product launch and commercialization. Where PLM actively authors and manages product data, Product MDM cleans and enriches your data, acting ...
In 2012, the Harvard Business Review declared “Data Scientist” the sexiest career of the 21st century. Perhaps a little surprising given the following competition. Indeed.com’s job search trend data suggests Data Scientist beats som...
Managing customer data in a cohesive and centralized way has never been more important. How can leaders better use data to inform, inspire and drive change for their business? By 2020, data will be an asset listed on 80 per cent of company balance sh...
The current level of interest in using AI to deliver competitive success is both reminiscent of – and distinctly different from – the level of interest in all things big data roughly a decade back. Similar, in that companies are anxio...
If you are new to master data management (MDM) and would like to understand where it fits and, most importantly, what its value is, then this whitepaper will help you. It starts by defining master data, then explains why it’s becoming a problem for...
BARC The Planning Survey 19 is based on findings from the world‘s largest and most comprehensive survey of planning software users, conducted from November 2018 to February 2019. In total, 1,367 people responded to the survey with 1,195 answeri...
Artificial Intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on toplin...
Decision makers, stakeholders and influencers agree there is strong, transformative value in artificial intelligence (AI) with the potential to disrupt and replace current business architectures and enterprise software.However, at times, AI is hyped,...
A next level in data warehouse automation is model-to-model conversion. By detecting patterns at a model level high quality data solutions can be generated fast. Whatever data architecture is needed.
