Data Analytics and Machine Learning
Driving Business Outcomes with Cloud-Enabled Data Analytics
Modern enterprises can’t compete without data-driven, cloud-based practices. Maven Wave’s data analytics and machine learning allow businesses to harness the power of big data to create valuable insights that can improve customer experience and bottom lines. But building a robust data and cloud-based strategy is more complex than it sounds.
To deliver transformational predictive analytics, companies must abandon centralized approaches to data and adopt a multitude of specialized cloud-enabled platforms. Without the agility of the cloud, it’s impossible to embrace emergent designs and non-traditional datasets, which are the building blocks of today’s analytics. Furthermore, they must embrace data science and machine learning algorithms to derive competitive insights that are unachievable via traditional human-based methods.
Companies in the midst of digital transformation too often don’t see a single business win until the end of a long technological overhaul. Our progressive approach to modernizing data delivers value in the earliest stages of the project lifecycle. Rather than upending everything at once, we use an agile approach to deliver analytics solutions and insights in a prioritized fashion. This approach helps justify a shift to modern platforms and keeps the business engaged and invested in a transformational change.
Capabilities
Cloud Data Platforms
Our Data Analytics Services
Useful Insights with Visual BI
Visual BI, a leader in Business Intelligence (BI), enhances our ability to address the increasing need for enterprise data analytics in the cloud.
Cloud Data Platform Development
Design modern cloud-based analytics databases and build real-time and batch data pipelines.
Marketing Analytics
Synthesize data and deliver specific marketing use cases, such as segmentation, lead scoring, targeting, churn, and attribution. Learn more.
Cloud Data Roadmap
Identify business drivers, define future state requirements, develop a cloud architecture, and create a migration roadmap.
Legacy to Cloud Migration
Plan and execute comprehensive migrations from legacy data platforms like Hadoop, Netezza, Teradata, SQL Server and Oracle to Google Cloud Platform, AWS and Azure.
Geospatial Analytics
Enhance dashboards with geospatial, traffic, and point-of-interest data using Google’s cloud.
WHITE PAPER
Our Accelerators
Data Analytics Quickstart
An easy way to experiment with a subset of client data using cloud infrastructure for a fast-paced initial project. A Quickstart is a five-week packaged data analytics service that moves a subset of a client’s data analytics environment to the cloud using our proven cloud migration methodology.
Data EXCelerator
This offering defines persona maps and dashboard mockups to help companies build more effective analytics dashboards and extract more out of their data solutions.
Migration Accelerator
Pre-built accelerators for rapidly moving data from legacy database platforms to BigQuery without the hassle of a “from scratch” code development.
Machine Learning
Our Machine Learning Services
Data Science Platform Deployment
Select and deploy modern toolsets and processes for collaborative and secure data science.
Data Discovery
Data Engineering
Model Creation
Build machine learning models to derive insights or predictions.
Model Deployment
Establish modern data science DevOps processes and deploy models into applications and business operations.
Our Core Focus Areas
Predictions
Natural Language Processing
Image Recognition
Voice and chat bots
Marketing Analytics: segmentation, propensity, lead scoring, churn, attribution
Our Data Science Process
Transform your business.