Mactores, a provider of end-to-end data platform transformation solutions, announced today that it has achieved Amazon Web Services (AWS) DevOps Competency status. This designation recognizes that Mactores provides deep expertise to help customers implement continuous integration and continuous delivery practices or helping them automate infrastructure provisioning and management with configuration management tools on AWS.
Mactores Cognition, Inc., announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Mactores for providing solutions or services that help data scientists and machine learning practitioners prepare and/or annotate their enterprise data for training of a predictive model.
Mactores Cognition, Inc., a provider of end-to-end data platform transformation solutions on Amazon Web Services (AWS), has received the AWS Data & Analytics Competency status. This designation recognizes that Mactores has demonstrated technical proficiency and proven customer success in big data-related solutions.
Mactores Cognition, Inc., a provider of end-to-end data platform transformation solutions on Amazon Web Services (AWS), announced today that it has achieved AWS Service Delivery Partner status for Amazon EMR. The AWS Service Delivery Program is designed to highlight AWS Partner Network (APN) Partners who have a track record of delivering verified customer success for specific Amazon Web Services (AWS) products.
Mactores Cognition, Inc., a provider of end-to-end data platform transformation solutions on Amazon Web Services (AWS), is an Advanced Consulting Partner within the Amazon Web Services (AWS) Partner Network (APN). APN Consulting Partners are professional services firms that help customers design, architect, build, migrate and manage cloud solutions built on AWS.
When businesses collect data, they do so with the ultimate goal of making better decisions. The data collected typically undergoes multiple levels of analysis, including analyzing historical information and making predictions of future outcomes.
Today’s competitive business environment is driven in large part by data analytics. By collecting and analyzing historical data, organizations can estimate what’s likely to happen in the future. This approach is the basis of predictive analytics. With a predictive analytics strategy in place, information such as previous sales, inventory levels, and customer behavior can be used to uncover insightful patterns and estimate future outcomes.
Many businesses use descriptive analytics without even realizing it. From preparing sales reports for a particular period to calculating revenue, companies use descriptive analytics to understand what happened during their daily operations.
It would be difficult to operate any business without using descriptive analytics. This type of analysis involves collecting essential data and drawing conclusions from it. For example, reports about inventory levels, sales, pricing changes, and customer acquisition all form a part of descriptive analytics. This approach is the foundation of your entire data analytics strategy.
It’s important for your business to be data-driven in today’s economic environment. However, a data-driven approach involves much more than just collecting and organizing data. You also need to analyze this data, uncover meaningful insights, and make relevant conclusions. Intelligent analytics is the primary process through which your business can derive value from collected data.
Data and analytics have become key components of how businesses operate. More than ever before, businesses rely on analytics to understand customer preferences, cut down on costs, and identify opportunities for growth.