Big Data Analytics Over Time [Trend Analysis]

Data over time analytics How the value and impact of analytics have been reported over the years. IDC found that using predictive analytics for business generates an average ROI of 145%. Market value of big data analytics In 2013, IDC made some predictions about the big data market: prediction 2003 reality &\ $32.4 $125 Google launched Google Suggest, the first search tool to use predictive analytics. $16.1 billion by 2014 billion by 2017 billion in 2015 2004 $ $$$ $$ A TDWI survey showed only 6% of companies had fully implemented predictive analytics. 2006 CRM companies such as SugarCRM and Microsoft Dynamics start releasing basic analytics capabilities. main types 2007 The true beginning of Big Data? Descriptive Turning large amounts of data into digestible information. A Predictive Analytics World website survey found 51.5% of companies had never deployed predictive analytics. Big Data author Bernard Marr places it at 18,000 BCE, when humans used tally sticks to record data and track trading activity. 2009 Predictive Using recent and historical data to predict what is likely to happen in the future. Prescriptive Using predictive analytics to subscribe the best D actions to achieve a desired outcome. Aberdeen revealed only 38% of companies using analytics 2010 offered tools that could be used directly by business users. Why should B2B sales teams use analytics? 93% stronger deal qualification Gartner assessed the analytics growth rate at 9% annually: worth $57 billion in 2010 and predicted to be worth $136 billion by 2020. are 93% better at walking away from bad deals and 33% stronger at understanding which opportunities are most likely to close. A 2015 Aberdeen report revealed that businesses who use analytics Bain & Company revealed only 23% of companies have clear strategies for using analytics effectively. A 2015 Salesforce study revealed that while only 19% of sales leaders currently use predictive analytics, 26% are planning to implement it in the next 12-18 months. 2013 growth Aberdeen reported best-in-class companies are 33% more likely to use analytics to quantify the effects of abandoned deals. 135%in usage 2014 CSO Insights revealed 69.9% of sales managers still don't currently use sales analytics or big data. 66% fear losing market share Companies' Тop 3 Fears 2015 52% fear less competitiveness 31% In a 2015 study, Salesforce predicted a 58% increase in use of sales analytics from 2015 to 2016, and smart selling technologies will jump more than 180% among underperformers. fear waning investor confidence 2016 for what will happen if they don't adopt analytics in the next 1 to 3 years, according to a 2015 Accenture study. To learn more about the role of big data analytics in B2B sales, visit accent-technologies.com. 2012