{"id":20297,"date":"2018-04-27T08:30:44","date_gmt":"2018-04-27T15:30:44","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=20297"},"modified":"2018-04-28T12:27:38","modified_gmt":"2018-04-28T19:27:38","slug":"survey-companies-bullish-cloud-analytics-need-speed-pace","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2018\/04\/27\/survey-companies-bullish-cloud-analytics-need-speed-pace\/","title":{"rendered":"Survey: Companies are Bullish on Cloud Analytics, But Need to Speed Up the Pace"},"content":{"rendered":"

\"\"A majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to a new survey by Vanson Bourne on behalf of Teradata<\/a> (NYSE: TDC), a leading cloud-based data and analytics company. In the next five years, by the year 2023, most organizations want to run all of their analytics in the cloud. But, an overwhelming 91 percent say that analytics should be moving to the public cloud at a faster rate.<\/p>\n

Where\u2019s the disconnect? According to the survey, some of the biggest barriers to moving analytics to the cloud are security (50 percent), immature and low-performing available technology (49 percent), regulatory compliance (35 percent) and lack of trust (32 percent). Other concerns center on technology integration and talent: 30 percent are struggling to connect legacy systems with cloud applications, while 29 percent of respondents cited lack of in-house skill as a barrier.<\/p>\n

The survey, titled \u201cThe State of Analytics in the Cloud,\u201d polled senior technology leaders at 700 large, global organizations, with average global annual revenue of $9.73 billion (19 percent with revenue ranging to $50 billion).<\/p>\n

The results are clear: the market is marching toward cloud analytics, but so many of today\u2019s cloud-only analytic engines lack the power or speed to handle enterprise-scale analytic workloads,\u201d said Martyn Etherington, Chief Marketing Officer at Teradata. \u201cIn fact, the performance gap for analytics at scale in the cloud gets even larger for the biggest companies. According to the survey, 63 percent of companies with revenues more than $10 billion view immature and low-performing available technology as a major barrier, compared to 41 percent of companies with revenues of $250-500 million. Given this concern, it\u2019s easy to see why Teradata stands out for its sophisticated cloud analytic environments capable of handling hundreds of terabytes and thousands of users running millions of queries per day.\u201d<\/p><\/blockquote>\n

The survey found that large organizations are maturing when it comes to their use of analytics, with one out of three using complex deep learning and machine learning to power artificial intelligence (AI). These companies are also experienced in using the cloud with one-third currently adopting public cloud across the whole organization. Unfortunately, the combination \u2013 moving to and using analytics in the cloud \u2013 is happening at a slower rate than other business applications and workloads.<\/p>\n

Data Details<\/strong><\/p>\n

The respondents use BI, data discovery and data mining, and are moving quickly into advanced analytics such as AI powered by machine learning and deep learning, regardless of type of deployment.<\/em><\/p>\n