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Speak with a Solutions Architect to understand how data engineering, operations, and machine learning can drive innovation, growth, and success.
Speak with a Solutions Architect to understand how data engineering, operations, and machine learning can drive innovation, growth, and success.
Whether you are considering building or buying a data lake, looking to improve existing data architecture and pipelines, or implementing custom AI & ML algorithms to better understand your organization’s or your customers’ needs, we have the in-house expertise to help you during every step of your data-driven journey.
Gain insight from an increasing volume of data without compromising data access and speed.
Manage data orchestration, QA your data, and optimize data pipelines and processes.
Apply algorithms to your data and make informed decisions for a variety of business initiatives.
Drive continuous improvement in your machine learning models.
7SIGNAL’s existing architecture was not able to efficiently leverage modern cloud services, leading to performance and scalability struggles – and holding back the development of new product capabilities for monitoring customers’ wireless networks.
The company enlisted Mission to rebuild its AWS architecture and create a new alerting agent application that could analyze millions of streaming data messages daily (and deliver near real-time customer alerts whenever WiFi errors or anomalies occur). With this Mission-designed and verified AWS architecture, 7SIGNAL gains a performant and scalable solution for advancing its services and meeting future customer growth. The company also leverages Mission’s data, analytics, and machine learning (DAML) practice for bringing its predictive analytics application to market.
Mission’s data engineering experts can help with every aspect of setting up your data lake, lakehouse, data warehouse or data mart. Specific services we provide include: development of data ingestion jobs, designing and building the foundation of the data lake, creating data pipelines, establishing an ETL process, and establishing business intelligence and visualization tools such as Tableau, Amazon QuickSight, and Power BI.
Data models have finite lifetimes and require continuous training. With Mission’s AI/ML Operations service, we will develop CI/CD pipelines to keep your model up to date with the latest parameters and hyper parameters. Additionally, we will automate training jobs, QA processes, and parameter validation to ensure the efficiency, accuracy and accessibility of your data models.
Mission’s data science and engineering experts can help you architect solutions leveraging AWS AI services as well as design custom algorithms to generate deeper insights about your business. Custom algorithms can be created in predictive analytics, natural language processing, recommendation engines, and more.
Our team of expert data scientists, data engineers, and data architects can help you make the promise of data-driven business intelligence a reality.
Design custom algorithms to gain greater insight into the needs of your organization or customer base.
Develop a CI/CD pipeline for your models and keep them up to date with continuous training and automation.
Mission has experience and expertise building solutions with cloud-native services such as Amazon Redshift.
Monitor all data on an ongoing basis to ensure best practices for regulatory compliance.
Customize your data and analytics approach to meet your specific use case and objectives.
Take a consultative approach to determine which data solutions make the most sense for your business.
Solve data challenges with a team of experts at a fraction of the cost of building an in-house team.
Build dashboards and gain insights with BI tools such as Tableau, Amazon QuickSight, and Power BI.
Detect anomalies in new data, recommend unique activities for customers, and make better decisions to inform courses of action.
Writable wanted to migrate to AWS and automate deployment to accommodate growth/scaling needs while adopting a microservice framework. Following a successful migration, Writable engaged Mission to improve its data indexing and utilization using Amazon OpenSearch (formerly Amazon Elasticsearch).
To do this, Mission developed a Terraform IAC module for repeatable deployments and consistency, including the ability to pull all data into one unified index and access it intuitively. Mission improved Writable’s observability and logging, proactive customer issue discovery, audit visibility and readability (change logs, etc.), customer issue remediation speed, and anomaly detection through Kibana.
