Market Milestone – Google to Buy Looker to Transform Business Analytics

Key Stakeholders:

Chief Information Officers, Chief Technical Officers, Chief Digital Officers, Chief Analytics Officers, Data Monetization Directors and Managers, Analytics Directors and Managers, Data Management Directors and Managers, Enterprise Architects

Why It Matters:

Google’s proposed $2.6 billion acquisition of Looker provides Google with a core data engagement, service, and application environment to support Google Cloud Platform. This represents an impressive exit for Looker, which was expected to IPO after its December 2018 Series E round. This report covers key considerations for Looker customers, GCP customers, and enterprises seeking to manage data and analytics in a multi-cloud or hybrid cloud environment.

Top Takeaway:

Google Cloud Platform intends to acquire a Best-in-Breed platform for cloud analytics, embedded BI, and native analytic applications in Looker. By filling this need for Google customers, GCP has strengthened its positioning for enterprise cloud customers at a time when Amalgam Insights expects rapid and substantial growth of 25%+ CAGR (Compound Annual Growth Rate) across cloud markets for the next few years. This acquisition will help Google to remain a significant and substantial player as an enterprise cloud provider and demonstrates the latitude that Google Cloud CEO Thomas Kurian has in acquiring key components to position GCP for future growth.

To read the rest of this piece, please visit Looker, which has acquired a commercial license for this research.

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Data and Analytic Strategies for Developing Ethical IT: a BrightTALK webinar

BI to AI on Trusted Data - An Amalgam Insights Research Theme
BI to AI on Trusted Data – An Amalgam Insights Research Theme

Recommended Audience: CIOs, Enterprise Architects, Data Managers, Analytics Managers, Data Scientists, IT Managers

Vendors Mentioned: Trifacta, Paxata, Datameer, Datawatch, Lavastorm, Alation, Tamr, Unifi, 1010Data, Podium Data, IBM, Domo, Microsoft, Information Builders, Board, Microstrategy, Cloudera, H20.ai, RapidMiner, Domino Data Lab, Dataiku, TIBCO, SAS, Amazon Web Services, Google, DataRobot.

In case you missed it, I just finished up my webinar on Data and Analytic Strategies for Developing Ethical IT. We are headed into a new algorithmic, statistical, and heterogenous data-defined model of IT where IT ethics and relevance are being challenged. In this webinar, we discussed:

  • Why IT is broken from a support and business perspective
  • The aspects of IT that can be fixed
  • What we can do as IT managers to fix IT
  • Data Prep, Data Unification, Business Intelligence, Data Science, and Machine Learning vendors that can help unlock the Black Boxes and Opt-Out disasters in IT
  • Key Recommendations

This webinar provides context to my ongoing research tracks of “BI to AI on Shared Data” and “IT Management at Scale.” To attend the webinar, please check the embedded view below or click to watch on BrightTALK