We're Experienced Proffesionals Who Excell At What We Do

We are Avydium.

We focus on what makes you successful. Whether that's helping you create a multi-year digital strategy and implementation roadmap with your team or helping you move a legacy analytics environment to the Cloud to help you save money and speed up time to market. We focus on your needs, on what makes you successful.

We are no strangers to complex data problems. We have worked in and solved some of the world's largest and most complex data problems - from extremely large and complex data acquisition problems with tens of millions of events per second to large scale real-time data analytics.

We can help you and your team by making the right data available for consumption by your  business to accelerate value generation by providing actionable insights.

We provide robust and flexible data governance, quality, and management controls to ensure maximum return on your data and your digital investments.

A DATA STRATEGY TO CALL YOUR OWN.

BUILDING YOUR NEXT DATA PLATFORM

Data-driven Organizations have an annual growth estimated at 30% while non-data driven organizations grow at less than 7% per year. Coincidence?

While organizations have access to an incredibly vast amount of data resources, most have yet to figure out how to harness these data effectively to respond to dynamic situations and drive change.

For these organizations to succeed they must provide a new breed of leadership: the Data-driven leadership.

Data-driven leadership starts by having a whole new mindset, by implementing a new data strategy and by making an investment in enterprise-wide data and analytics foundation.

Data Strategy and Vision

Why you need a Data Strategy

Data Strategy focuses on building an achievable roadmap that addresses the capabilities that make an organization data-driven.

This includes looking at the required transformation from current to future state, defining the proper processes, upskilling the right people with the right concepts, and  building the right data governance program and best practice.

Expanding Data Governance

The future of Data Governance is collaborative.

Collaborative, thoughtful, focused on implementing a long-term framework consisting of processes managing data assets across the organization.

The next generation data governance looks at data from all sources, maps all of its rules, provides a clean and clear definition to all of its users, and does it in a simple way.

Improve DataOps with Scalable Data Governance

Improved data lineage for DataOps

Automate repetitive tasks and improve data pipelines by implementing strong automated impact analysis and active metadata management.

Improve compliance, migration to cloud, impact analysis, data pipeline management and optimization by creating a clear, well-managed, multi-environment data catalog.

Managing Data Holistically with AI

Apply AI to manage and govern your data.

Establish a framework that combines advanced data discovery tools and combine it with deep learning to explore your data. ALL OF YOUR DATA.

Boost your data governance program and achieve full regulatory compliance by Implementing FULL data lineage in your Data Governance program.




MOVING ANALYTICS TO THE CLOUD

It takes more than just a good Migration Plan.

Business and IT leaders are replacing costly, legacy, on-premises technology with flexible, scalable, and cost-effective computing power in the cloud. Reasons for migrating to the cloud go from reducing IT spend to accelerating innovation and reducing time to market.

While there are a lot of compelling reasons to start a cloud migration journey., the road to the Cloud is not without its perils. Migrating to the cloud requires strategic planning, a well-developed plan and plenty of cloud expertise on your side.

We will work with your team to help them learn the best AWS practices and successfully adopt AWS cloud services.




Cloud Migration Framework and Best Practices

A Cloud migration framework that is second to none.

Our Best Practices are based on the Six Pillars of AWS Well-Architected framework and best practices to architect a perfectly balanced solution to meet your business requirements.

We cover all aspects of Cloud Migration in our Migration Framework:
- Operational Excellence,
- Security,
- Reliability,
- Performance Efficiency,
- Cost Optimization, and
- Sustainability.

Develop the best Migration Plan possible when you team up with us.



Analytics in the Cloud and a whole lot more

The Cloud model is PERFECT for Analytics.

Traditionally, Analytics infrastructures require you to build your environment for the heaviest workload demands. This causes part of your infrastructure to remain unused for part of the time.  

Taking the entire computing infrastructure and moving it to a hosted environment retains the inefficiencies of an on-premise environment but does not take advantage of cloud-native features.

We at Avydium take pride in being experts in Cloud and Analytics.  We will help you build the best infrastructure possible in the Cloud by using Cloud native services, reducing complexity and risk, and improving your Return on your Investment.


Cloud Data Lake

Gain deeper insights into business situations by using a Cloud Data Lake.

Whether you are ready to move to the Cloud or not, having a Cloud Data Lake can improve your agility and improve your analytics capabilities.

Cloud Data Lakes provide the foundation for analytics and artificial intelligence across every industry. Businesses use them to increase revenue, save money, and reduce risk.

Avydium helps you build the RIGHT Cloud Data Lake by reducing your TCO and simplifying data management and speeding up analytics and implementing AI and Machine Learning.



The Cloud Data Warehouse

Build your Cloud Data Warehouse optimized for scalable BI and analytics.

Data warehouses have been staples of enterprise analytics and reporting for decades. But they weren’t designed to handle today’s explosive data growth or keep pace with end users’ ever-changing needs.

With Cloud Data Warehousing, you will not be constrained by physical data centers. You will be able to dynamically grow or shrink your data warehouses to meet the constantly changing business requirements.

We will help you move your current Data Warehouse to the Cloud or optimize your current Cloud Data Warehouse by using Cloud native .

DATA GOVERNANCE AND MANAGEMENT

A lot more than policies, metadata, and business rules.

Data governance aims to harmonize the data in those systems through a collaborative and iterative process undertaken by both IT and stakeholders from the business.

Typically an overarching goal of the  Data Governance program is to break down silos in information found across the business. This provides the business with more accurate analytics, stronger regulatory compliance, improved data quality; lower data management costs, and increased access to data needed by data scientists, analysts analysts and business users.

Data Governance Framework 

Building a Data Governance program that makes sense.

Early stage Data Governance efforts can be difficult because different parts of the organization tend to have diverging views of key enterprise data entities, such as customers or products.

Our Data Governance Framework allows you to quickly identify the policies, rules, processes, organizational structures, and technologies that need to be put in place as part of your Data Governance program.

We help you quickly start and implement your Data Governance program by working with you on identifying risks and requirements and building a strategy and implementation plan that addresses all aspects of the Business.



Data Lineage for Operational Excellence

Get an immediate, complete, and comprehensive overview of your data.

KNOW your data. All of it. From data flows and pipelines, from all internal and external sources,  transformations, and dependencies to take control of your data assets.

Ensure accurate reporting, get a clear overview of how crucial calculations were derived, improve your data governance framework to reinforce your overall data management strategy, increase trust in data, and make it a truly enterprise-wide asset

We help you increase the productivity of your data team by 30–40% with better visibility of your data pipeline thanks to fully-automated impact and root-cause analyses.


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