A Better Way to Think Data

Data Technology Engineers

Let us help evolve the way your business thinks of data.

Business-centric
Data Alignment

Power Boost Business

Zone4 was founded on the principle of 4 wheel alignment across business, data, process, and technology to BOOST business efficiency. Align quickly and adopt iterative data delivery cycles.

Tactical Data
Solutions & Services

 Dude, Where’s my Data?

Let us help you Navigate oceans of data solutions.  Cloud Data Platforms, Big Data, Edge Computing/Machine Data, Business Intelligence, Data Science, Agile Data Management, Data Lakes, Data Streaming, IoT.  From data collection to consumption.  End to End ecosystem.  Collect Data, Wash, Rinse, Consume, Repeat.

Data Science
Optimized

We Dig Data…Data “where?” House

Talk to us and Find out how to Think about data science differently.  Dig into it.  Data Science that utilizes advanced techniques to develop simulation, predictive, and prescriptive machine learning algorithms.  Build an ecosystem for managed metrics and analytics that can be trusted.  Reduce Data Wrangler Havoc and Increase Data Science Effectiveness.

Zone4 Technologies

A Better Way to Enable Analytics

We listen, adapt, and quickly align tactical data strategies

Data-centric vs. Tool-centric
Business Problem-solving vs. Perfect
Iterative Action vs. All or nothing
Quickstarts vs. Freeze
Solutions vs. Roadblocks

A Data Platform-based approach

Enabling data management capabilities that fit your business needs by Leveraging the right mix of big data platform technology, SaaS, PaaS, and on-premise.

  • Tactical Data Blueprint
  • Immutable Architectures
  • Cloud based Data Science
  • Big Data Ingestion, Streaming, IoT
  • Data Reference Architecture
  • Cloud Data Strategy Alignment with Enterprise Cloud, Multi-Cloud

About

Zone4 provides data strategy alignment, data tech, AI/ML, DevOps, and engineering IT Consulting services in the area of big data platforms, data operations, data science, data governance, data warehousing, data lakes, content management/search, business intelligence, log analytics, and data architecture.  We have expertise across multiple cloud platforms and work with AWS, Azure, GCP, Databricks, and Snowflake.  Founded in 2001, the company has a history and reputation for providing excellent skill sets, focus, and expertise in technologies such as Snowflake, Databricks, dbt, python, pyspark, Hadoop, Talend, Nifi, Oozie, Spark, Informatica, Azure Synapse, Airflow, Prefect, Elasticsearch, Splunk, Humio, MongoDB, Vertica, and other NoSQL databases… and many business intelligence platforms such as Tableau, Looker, Qlik, and PowerBI.

The industry for Data Lakes, Business Intelligence, Collaboration, and Search solutions is a rapidly growing need for companies of all sizes and the availability of technologies is overwhelming for organizations. We pride ourselves in being very competitive and focused on the right fit of solutions in regards to the total cost of ownership, business needs, scalability, and return on investment for the company.

Does your business effectively interconnect data, applications, business process, and corporate strategies? The alignment of these 4 are critical to business optimization, data quality, and enterprise alignment.

Data Delivery, Reporting, Visualization

  • Analytics / Query / Reporting
  • Business Intelligence, Dashboards
  • Next Gen OLAP
  • Semantic Tier
  • Web Interfaces, Reporting
  • Federated Search, Optimization
  • Exception/Alerts
  • XML/Web Services
  • KPIs, Metrics, Balanced Scorecards

Data Operations & Management

  • Big Data Ingestion
  • Data Warehousing
  • DevOps, Platform, IaC
  • Dimensional Modelling
  • Data Arch/Training
  • Metadata Management
  • Data Migration/Cleaning
  • Data Profiling Tools
  • Streaming Data / IoT

Data Science

  • Data Science Models & Management
  • Artificial Intelligence / Machine Learning
  • Infrastructure, IaC, MLIOps
  • Data Science Lifecycle
  • Data Mining Workflow
  • MLOps, Model Deploy / APIs
  • Platform Management
  • Data Science Lifecycle Management

Data Integration

  • Data Virtualization
  • API Interfaces
  • Messaging / ESB
  • CDC / Data Replication
  • Business Rules & Mapping
  • RPA & Workflow Management
  • ETL/ELT Tools
  • Metadata Management
  • Master Data Management