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DataStax launches serverless Database-as-a-Service

Metadata Shmedadata - today s approaches to metadata are inadequate, and that s a problem

Read later Summary: Struggling with metadata is nothing new, but there s a misconception that advanced data tech and cloud storage solved this problem. That s not the case - so what is the way forward? I ve been thinking about metadata. I know that s a strange thing to think about, primarily when I used to refer to it as dead data in a drawer, neatly arranged. And it was. Our halting attempts to tag extracted data with a semblance of meaning always fell short - because it was just too hard. And it was even harder to figure out how to get application programs to use it effectively.

Orange to green - using a Customer Distress Index to strengthen proactive support

Read later Audio version Summary: Resolving issues proactively is an essential part of field service management. Sumair Dutta of ServiceMax takes a deep dive into creating a Customer Distress Index (© 42pixels - Shutterstock) There is a lot of talk of moving service models from reactive to predictive. Instead of waiting for something to break, you have the ability to predict when it might break and intervene appropriately. Traditionally, this was done in a time-based or interval-based manner but now there is a greater focus on the use of remote or point-of-service technology to build predictive models. However, there is much more to the provision of service that can make or break a customer relationship, which is why some service providers are now exploring the concept of the customer distress index.

5 CFO skills that will help finance leaders meet today s new challenges

5 CFO skills that will help finance leaders meet today s new challenges Read later Audio version Summary: Events over the past year have put a lens on finance and the need for faster insights and guidance amid change. That means CFOs and finance leaders need a broader set of skills, writes Workday’s Steve Dunne (© mrmohock - shutterstock) The post-pandemic world, when it arrives, will transform many aspects of business as usual. Workforces have shifted and many will stay remote. Supply chains disrupted by the pandemic have found new footing. Companies have rejiggered budgets and strategies to exist in a more digital-first world. And CFOs have played a key role in guiding these changes.

What FP&A teams need to know about AI/ML

What FP&A teams need to know about AI/ML Read later Summary: With a whole forest of abundant data to hand, how do finance leaders focus on the detail? Grant Halloran of Planful shares three reasons why AI and ML help enable continuous planning (© amenic181 - shutterstock) Finance leaders have more data at their fingertips than ever before. Then why is it so difficult to see the forest for the trees? Since the forest of data is so huge, finance professionals can find it difficult to pick out broader patterns, trends, or inconsistencies. These are the key insights that point to the bigger picture and ultimately, an organization s ability to be successful.

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