In today's competitive business landscape, success is directly affected by the accuracy that goes into your decision-making process. The best business decisions are driven by data aggregated from a vast array of white papers, market research reports, surveys, and domain experience. Augmented analytics is a leading data analytics subdomain emerging in the current market.
Chief revenue officers of big brands often are tasked with finding the right balance between short-term revenue pursuits and long-term brand equity building. The emergence of advanced marketing analytics and Big Data is making this job much more challenging. As data is becoming more voluminous and yet more precise, what are the challenges it poses to brand equity?
Big data is inundating businesses, persistently. The idea to collect, analyze, and act up on a set of data is harnessing businesses to make informed decisions and have a strategic plan for time ahead.
Moreover, big data has been the driving force for most of the trending technologies today. Machine Learning, Deep Learning (subsets of Artificial Intelligence), Internet of Things (IoT), Hadoop, NoSQL etc. are strongly backed by big data for processing the results.