Data, Analytics and Machine Learning
A comprehensive practice for every step in your data-driven journey
Overview
Leverage Data Analytics and Machine Learning to Elevate Your Business
Whether you’re assessing data lake options, improving existing data architecture and pipelines, or implementing custom AI and ML algorithms, we have in-house data, analytics and machine learning consulting expertise for every step of your data-driven journey.
Benefits - Make the Most of Your Data With Mission
Gain More Insight From Your Data
Design custom algorithms to gain greater insight into the needs of your organization or customer base.
Run Your Data Models Efficiently
Develop a pipeline for your models and keep them up to date with continuous training and automation.
Leverage AWS Databases
Leverage experience and expertise in building solutions with cloud-native services such as Amazon Redshift.
Level Up Data Governance
Monitor all data on an ongoing basis to ensure best practices for accessibility and compliance.
Visualize Your Data
Improve your analytics with custom dashboards and BI tools such as Tableau, Amazon QuickSight and Power BI.
Drive Data-Driven Decision Making
Detect anomalies in new data, make recommendations for customers, use data to inform courses of action.
Unlock Data-Driven Business Intelligence
When you work with Mission you’re working with AWS-certified expertise. We’ve qualified for the AWS Data and Analytics Competency and the AWS Machine Learning Competency, as well as AWS Glue, Redshift, QuickSight and OpenSearch Service Delivery Designations.
Data Engineering and Analytics
A modernized data architecture, strategy, and tools lets you work with your data faster and more cost-effectively. Whether you’re establishing a data lake, lakehouse, data warehouse or data mart, or you’re modernizing an outdated and underperforming ETL pipeline, our engineering experts can help.
Machine Learning Operations (MLOps)
Keep your models up to date with the latest parameters and hyperparameters. We’ll develop the underlying data architecture, model pipelines and stores, and automate training jobs, QA processes, and parameter validation to ensure the efficiency, accuracy, and accessibility of your models. Or, receive expert advice on integrating types of machine learning into your cloud environment.
Data Science and AI/ML
Train custom algorithms to work with your data and improve product innovation, decision-making, and business operations. With techniques like predictive analytics, Natural Language Processing, classification, and computer vision, our team will develop state-of-the art solutions to make the most of your data.
