Find out how analytics, from data mining to cognitive computing, is changing the way we do business
Jim Harris says more reusable data quality processes mean less reliance on IT and higher productivity across the board.
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.
Phil Simon weighs in on the value of getting your own hands dirty using self-service data prep.
Phil Simon chimes in on the immediacy of enterprise data.
Helmut Plinke explains why modernizing your data management is essential to supporting your analytics platform.
Kim Kaluba describes how a customer data strategy can help you achieve an omnichannel vision.
Jim Harris discusses how the lines between data management and analytics are fading.
Analise Polsky says analytics success for midsize business depends on getting the basics right and maintaining a data focus.
The adoption of data analytics in organisations is widespread these days. Due to the lower costs of ownership and increased ease of deployment, there are realistically no barriers for any organisation wishing to exploit more from their data. This of course presents a challenge because the rate of data analytics adoption
