If you work in the field of sales commissions, you’re likely aware of ASC 606, the five-step revenue recognition model and timelines. The basic premise on which both ASC 606 and IFRS 15 have been formulated is that an organization can recognize revenue from a customer contract only when the
Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM Db2 EventStore is purpose built to simplify the complexity of harnessing event data with a single system. Its unique
The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained
Perhaps one the single most significant changes to the analytics landscape in recent years had been the emergence of the data scientist. This role is continuing to evolve, with many organizations still in the process of establishing how best to incorporate this relatively new discipline into their
The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented
Missing the mark in customer segmentation marketing can be detrimental for consumer product companies. Marketing consumer products demands a fluid, dynamic process for customer segmentation that is in sync with today’s consumer. Learn more about how cognitive analytics leverages consumer and
Is your data driving your daily customer interactions? Don’t ignore what analytics can be doing for you in the now. Instead, discover how arming yourself with data from the outset can help you meet customers where they are.
One of the biggest challenges for retailers has always been scaling great customer service, specifically how to better personalize in-store experiences. By combining data analysis, the Internet of Things, cloud and mobile technologies, retailers can make this level of personalization a reality for
Avoid the productivity drain and customer frustration caused by content fragmentation. Keep the courtship period with customers alive by ensuring employees have unfettered access to enterprise content that can keep the customer experience harmonious. See how in a new IBM Enterprise Content
Although competitive UK retailers may have a reputation for giving up little when it comes to results exemplifying the benefits of analytics, a few noteworthy cases can reveal some interesting observations. Take a look at four case studies of UK retailers that offer insightful perspectives on how
Social media has taken the retail industry on an extraordinary, tangential path for gaining a deeper understanding of the consumer. See what several big data experts have to say about the impact social media data and analysis of customer conversations have on the consumer experience.