services

Data Modernization

Start your Artificial Intelligence journey by transforming your data.

A black business woman manipulates a holographic data network

Why Data Modernization?


RevGen’s Data Modernization service transforms how your business derives value from your data. Our frameworks empower you to make quicker, more informed decisions and set the foundation for leveraging Machine Learning and AI.

Our approach activates value across your data lifecycle to deliver timely, relevant, and actionable data to your organization. By automating data processes, aggregating disparate sources, and expanding data consumption across your business, RevGen provides a flexible, scalable path to a sustainable competitive advantage.

Activate Data's Value
 

The four main areas affected by data modernization: Self-service analytics, AI & ML, prescriptive analytics, and intelligent automation

Self Service Analytics

Distribute data and empower teams with self-service analytics and visual intelligence. Utilize dashboards to understand both the ‘what’ and the ‘why’ behind your data.

AI & ML

Build and optimize advanced analytics such as machine learning algorithms and AI models to amplify your data’s value and create new avenues for growth.

Prescriptive Analytics

Develop tools that forecast trends, support decision making, and enhance strategic planning to convert analyses into advantages.

Intelligent Automation

Automate processes and analysis to rapidly transform raw data into actionable insights delivered to key stakeholders.

Modernization Hub
 

Data Modernization leverages adaptive cloud-based systems with real-time processing to integrate distributed domains and data silos. After cleansing and transformation, analytic-ready data informs new, advanced reporting and enhances subsequent processes.

The diagram of the modernization hub shows how data flows from the source into the modernization ecosystem, affected by governance, architecture, and integrations before flowing into the consumption state.

Ecosystem: the overarching framework which contains the architecture, governance laws, and integration event schedules. The ecosystem can be centralized (Data Fabric) or decentralized (Data Mesh) depending on company needs.
Architecture: dictates how your data is structured. RevGen builds medallion (layered) architecture for centralization with data cleaning and enrichment prior to analytics.
Data Governance: ensures the organization’s data is managed effectively and responsibly throughout the lifecycle. It keeps the data ecosystem secure, compliant, and delivering valuable insights.
Integrations and Event Scheduling: ensure your data flows seamlessly and efficiently across the different systems, architecture layers, and applications leading to the data consumer.

RevGen's Approach
 

A diagram showing the flow of our approach from goals and planning, to execution to measurement and knowledge transfer

Goals & Planning

RevGen collaborates with clients to define their data-driven business goals and priorities.​

​Together, we create a detailed data strategy that addresses initial requirements and explores innovative ways to maximize your client’s value

Execution

01. Discover: Uncover your current data landscape and pinpoint challenges, opportunities, and maturity levels​

02. Define: Outline comprehensive business and technical requirements, ensuring our solution aligns with your business goals

03. Blueprint: Craft an ecosystem and architectural design that seamlessly integrates with your existing systems​

​04. Build: Develop and configure the solution, governance frameworks, integration schedules and dashboards/analytic tools​

05. Launch: Deploy and rigorously test the solution, ensuring minimal disruption​

Measure & Transfer

Define KPIs and business metrics to track and quantify modernization’s impact on your organization.​

​RevGen’s training offers comprehensive guidance on the new solution to ensure adoption and usage.

A person types on their laptop. Overlays of data nodes in pastel colors connect back to the screen.

Transform Your Data

Contact Us

Contact us today to schedule a meeting with one of our data modernization experts.

Tools & Technologies
 

RevGen designs multi-cloud compatible solutions that empower enterprises to leverage the diverse strengths of the various cloud providers. Our experts are ready to deploy the right technologies and accelerators to modernize your data environment.

Logos of a few data modernization technologies we use such as Amazon S3, Microsoft Fabric, Snowflake, Matillion, Databricks and more

Our Experts
 

Ian Foley

Ian is a Vice President at RevGen. He is driven by deriving business value from data and has spent his career helping clients develop the capabilities to do just that.

Corey Biehl

Corey is a Sr. Architect at RevGen who is passionate about designing data solutions that make a measurable impact on businesses.

A headshot of Michael Nardacci, RevGen Sr. Consultant

Michael Nardacci

Michael is a Sr. Consultant at RevGen where he helps clients with successful data transformation and migration so they can achieve their goals.

Success Stories

Creating a Data Lake

Creating a Single Source of Truth with a Governed Data Lake

Analytics & Insights

Leveraging a big data, data lake environment to consolidate enterprise data into a single governed source of truth.

Read More About Creating a Single Source of Truth with a Governed Data Lake
A person works on their laptop. Digital holograms of various data viz are overlaid on the image.

Optimizing Digital Marketing through Cloud Enablement and MLOps

Technology ServicesAnalytics & Insights

RevGen helped our client implement an Azure Cloud solution to improve digital marketing operations and realize value from their AI efforts.

Read More About Optimizing Digital Marketing through Cloud Enablement and MLOps
A series of data and analytics charts arranged in a functional dashboard

Data Transformation to Enable Advanced Analytics and AI

Analytics & Insights

Our client needed a modern, transformative data architecture to reach the next level of analytics, including AI.

Read More About Data Transformation to Enable Advanced Analytics and AI

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