Predictive Analytics

Featuring Amazon SageMaker

Why is predictive analytics important? Companies and organizations are working now to leverage Artificial Intelligence (AI) and Machine Learning (ML) a subfield of AI. ML promises data-assisted analytics for better business decisions to drive profitable growth. Looker and Amazon Web Services (AWS) have teamed to deliver this exciting Data Science solution for Forecasting (sales, events, volume), Fraud detection, Computing risk and more. Gain stability, performance and cost advantages with Looker and AWS ML today.

Looker and AWS ML allows users to quickly move through required steps to implement data science projects with production precision and reliability.

Amazon SageMaker

Machine Learning at Scale

Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.

Amazon Athena

Start querying data instantly

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. This is a perfect solution for mass file storage in S3 with Athena SQL queries directly on top of files (e.g., csv).

Amazon Redshift

Fast, simple, cost-effective

A fast, fully managed, petabyte-scale data warehouse at less than a tenth the cost of traditional solutions. Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake. Redshift delivers ten times faster performance than other data warehouses by using machine learning, massively parallel query execution, and columnar storage on high-performance disk.

You can start small for just $0.25 per hour and scale to $250 per terabyte per year, less than one-tenth the cost of other solutions. You can setup and deploy a new data warehouse in minutes, and run queries across petabytes of data in your Redshift data warehouse, and exabytes of data in your data lake built on Amazon S3.

Amazon S3

Amazon Simple Storage Service

Amazon Simple Storage Service (Amazon S3) is storage for the Internet. You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere on the web. You can accomplish these tasks using the AWS Management Console, which is a simple and intuitive web interface.

Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world.

Enterprise Analytics and Data Managment

Our value-add to your organization is Alexicon's services and experience with large enterprise analytic efforts. We have 20 years of enterprise integration experience to assist with leveraging your ERP, CRM, IoT and External data sources at scale.

Moving to cloud-based mass storage and compute abilities can be easier and seamless with the Looker and AWS integration for Amazon SageMaker supported by Amazon S3, Amazon Athena and Amazon Redshift. Leverage this new integration by contacting us below for a trial.

Learn more about Looker Analytics with AWS AI and ML features and benefits