Signals Analytics, the next generation advanced analytics platform that leverages external data to uncover trends and predictive insights, announces a new rollout of its award-winning platform, leveraging breakthroughs in NLP, machine learning and other capabilities that enhance the precision, detail and utilization of advanced analytics in the enterprise. New features that span the entire data journey such as e-commerce product clustering, author, affiliation, and brand refinement, data mart integration and a daily alert allow businesses to seamlessly integrate Signals Analytics into their existing business intelligence technology stacks, while surfacing highly-detailed and predictive actionable intelligence across a broader range of use cases.
While it is well-established that data-driven organizations are significantly more successful than their peers, many organizations express difficulty with actually standing up analytics and incorporating data-driven decisioning processes in their enterprises. The challenge becomes even more acute as the interest in connecting external data grows to capture consumer sentiment and a better understanding of the market landscape. The issue that is hardest to overcome is the intrinsic nature of these external data sources – they are generally unstructured, unconnected and made up of many different data types that can change often. The latest advancements announced today will allow companies to seamlessly combat these common obstacles so they can better leverage data and analytics in their business processes.
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“There is a clear distinction between market leaders and laggards with their use of analytics, and at times like these the value of data and the utilization of data will only help to further separate winners from losers,” says renowned author and analytics expert, Tom Davenport. “While the benefit of analytics is well understood in theory, in practice, implementing analytics is very difficult and dealing with external data makes it even more challenging. Platforms like Signals Analytics put the end goal within reach in a practical, accessible way, helping to address many critical business questions across the enterprise.”
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