How do you up your game in the competitive world of Data and Analytics? Well, one way is through acquisition.<\/em><\/p>\n\n\n\n Google recently acquired Looker, a Santa\nCruz-based data analytics startup, for a whopping $2.6 billion. The all-cash\ndeal was the fourth-biggest in Google\u2019s history and this has helped Google\nCloud close the gap in the cloud space market against Amazon (Amazon Web\nServices) and Microsoft (Azure). <\/p>\n\n\n\n Looker was set up in 2012 and uses big data\nto assist companies to retain consumers and understand their behavior. With\nLooker\u2019s assistance, video game developers like King, the makers of Candy\nCrush, have been able to retain their players and media outlets like The\nEconomist can better strategize their subscriber model. <\/p>\n\n\n\n Looker\u2019s cloud-based platform has two\ncomponents \u2013 <\/p>\n\n\n\n But what could have led Google to buy\nLooker and what can come out of this deal? We look at three possibilities:<\/p>\n\n\n\n The acquisition will likely see a significant upgrade to Google\u2019s data management ecosystem. Looker would make it easy for Google Cloud to build a data exploration platform at enterprise level, building on their Google Data Studio<\/a> offering. In the same way that Tableau<\/a> and Microsoft Power BI<\/a> do, Looker could quickly make data accessible for the entire organization as a bolt on for Google Cloud.<\/p>\n\n\n\n What do I mean by that? Simply put: a tool\nfor business users and to find insights in their otherwise unwieldy datasets.\nLooker will allow users to quickly access petabytes of data through Google\nCloud Service\u2019s products, such as BigQuery. One of the true powers of this type\nof integration is going to be in accessing Machine Learning Capabilities (Big\nQuery Machine Learning), that allows creating and deploying machine learning\nmodels simple. Looker will most likely increase the pace of model development\nand allow business users to get to learning much faster.<\/p>\n\n\n\n With the transaction in place, Google has\nalso continued the path to diversify away from strictly online advertising\nwhich accounts for 80% of its revenue. It\u2019s no secret that Google is looking to\nexpand its services \u2013 and become an all-round solution for businesses. Some may\ncall it world domination. <\/p>\n\n\n\n The deal also strengthens the movement of\nbig players like Google consolidating analytics on top of their cloud\nenvironments. It also signals a move towards multi-cloud data analytics\nstrategy and shows that the market has a larger role to play in the multi-cloud\necosystem for analytics and BI players. As more and more analytics workload\nmoves to the cloud, Google would have realised how data management, data\npreparation and data governance can provide real value to its customers.<\/p>\n\n\n\n As Google Cloud CEO Thomas Kurian himself\nput in a conference call with the press and analysts regarding Looker,<\/p>\n\n\n\n \u201cWe continue to support multiple clouds because we feel that’s what customers want. They also want to standardise on one toolset.\u201d<\/p> However, one thing that Google says it will\nnot shift is its strategy. The acquisition is to implement Looker\u2019s approach\nfor crawling and integrating with data in multiple clouds. For that, Google is\nalready seeking support of Anthos that offers a hybrid model that is cloud\nagnostic. <\/p>\n\n\n\n By acquiring Looker, Google has jumped to\nthe third place in the cloud infrastructure market and will utilise Looker to\nundergo a digital transformation in data warehousing and BI.<\/p>\n\n\n\n What are your thoughts on the acquisition?\nlet us know over on Twitter.<\/p>\n\n\n\n The Author, Matthew Nixon: @mattalytic<\/a><\/p>\n\n\n\nWhat is Looker?<\/strong><\/h3>\n\n\n\n
An Upgrade<\/strong><\/h3>\n\n\n\n
Diversification\nThrough Acquisition<\/strong><\/h3>\n\n\n\n
Multi-cloud\ndata analytics strategy<\/strong><\/h3>\n\n\n\n
Thomas Kurian, Google Cloud CEO.<\/cite><\/blockquote>\n\n\n\n