10 most powerful data analytics companies

data_analytics_risk_assessment_tracking_trends_graphs_by_ipopba_gettyimages-1150397416_2400x1600-100828857-large.3x2.jpg10 most powerful data analytics companies>
CIO, from IDG – Thor Olavsrud
Here’s our rundown of what makes these 10 analytics vendors the biggest power players within the enterprise. Amazon Recent power moves: According to a scoop by The Information, AWS plans to double its sales team in 2020 as part of an effort to counter competitive pressure from Microsoft. The hires will focus on salespeople with deep technical knowledge in artificial intelligence and data analytics (and also cybersecurity). Google Recent power moves: In 2019, Google acquired Looker Data Sciences in a $2.6 billion cash deal. The deal closed in February 2020. Looker competes with Tableau, Domo, and Microsoft Power BI. In March 2020, Google cherry-picked a high-profile deal from AWS when it announced that Google Cloud would become Major League Baseball’s new cloud services and cloud data and analytics partner for business operations. IBM Recent power moves: In July 2019 IBM closed its $34 billion acquisition of Red Hat. Red Hat’s open hybrid cloud technologies were a key element of the acquisition, and they pave the way for IBM Cognos Analytics customers to migrate to the cloud. Microsoft Recent power moves: In November, Microsoft unveiled Azure Synapse Analytics, a service that promises to merge enterprise data warehousing and big data analytics. MicroStrategy Recent power moves: MicroStrategy 2020, the new version of the company’s flagship enterprise analytics platform, was announced in February 2020. It brings HyperIntelligence to the forefront. The HyperIntelligence semantic graph can be used as an overlay on websites, applications, and mobile sites to dynamically generate predefined insights. It adds Jupyter and RStudio connectors to support data scientists and adds support for deploying on AWS and Azure environments. Oracle Recent power moves: Oracle unveiled the Oracle Cloud Data Science Platform in February 2020, built on the foundation of DataScience.com, acquired by Oracle in 2018. The platform is geared for teams of data scientists working collaboratively, with capabilities including shared projects, model catalogs, team security policies, reproducibility, and auditability. Salesforce Recent power moves: In 2019 Salesforce acquired Tableau, one of the most powerful data visualization players around. Tableau has been innovating on its augmented analytics capabilities, including new features called Ask Data and Explain Data that offer natural language query and automated insights. SAP Recent power moves: SAP introduced its SAP Data Warehouse Cloud in May 2019, offering analytical and persona-drive data-warehouse-as-a-service geared for both business and IT. SAS Recent power moves: SAS is finally moving to the cloud in a big way: The company has announced that its next-generation software stack will have a cloud-native architecture. The company has also moved to support the open source data science and ML ecosystem. Teradata Recent power moves: Once known for its specialized hardware appliances, Teradata has gone with a cloud-native architecture for Vantage and is trumpeting the ability to elastically and independently scale computer or storage, leverage low-cost object stores, and integrate analytic workloads.
Link: https://www.cio.com/article/3534511/10-most-powerful-data-analytics-companies.html?utm_source=Adestra&utm_medium=email&utm_content=Title%3A%2010%20most%20powerful%20data%20analytics%20companies&utm_ca


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