Free 1- on -1 data workshop for your organization
A $2,000 VALUE
All industries are entering the digital disruption era, where competitors have better technology, data models, operational value chains, consumer experiences, and more. Digital innovators recognize the value of having resilient, mission-critical systems that can run your organization successfully 24 hours a day, seven days a week, and how digital technologies like AI, machine learning, and data can be used to drive innovation. Learn how to select the appropriate technologies and suitable data management strategy to optimize your business might be challenging. Let us help you for free!
With the complexity of the Modern Data Stack, it is vital to gain a deeper understanding of data management processes and improve analytics skills to harvest better business insights. Work with us and learn how to harness the latest and greatest data tools on the market.
There are hundred data solutions providers out there making it tough to choose. Find out which solutions work best for your business from vendor agnostic industry pros.
The transition from traditional data management to cloud data management can be complicated. Understand its complexity to create suitable steps for your organizational change.
We offer services for the modern data stack. Our experts will deploy modern data solutions at blazing speed. Our team delivers results 30x faster and at 1/2 the cost of one data engineer. All of our services are developed as business first, and focus on success criteria. We enable non-technical users to explore and share information that matters. Radically change the way your organization understands data.
Our Favorite Data Stack
Freebies and Special Offers
Together with our technology partners we’ve put together special offers for new customers, click on their logo to learn more.
Data should be simple
Let us help!
Our use case backlog approach.
A use case is a logical grouping of:
- Upstream data pipelines
- Datasets and procedures
- Downstream pipelines, reports, dashboards and business apps
With the objective to:
- Recommend a product based on market trends and user purchase behavior
- Report profit and losses
- Track product sales volumes
We follow this methodology of business case first with all of our projects. Together we develop a list of priorities that are important to your organization and create a shared backlog to work on together. Through this process we offer a transference of knowledge and understanding throughout all of our projects. We aim to solve real business issues important to stakeholders and deploy a data driven culture above all else.
How do I get started?
Everything starts with success
Everything starts with defining success criteria. First we meet with your team and project stakeholders to define success for your organization. All of our engineers are certified experts from our technology vendors and have experience working with companies that are similar to yours. We will send you an architecture review, scope of work and our recommendations on how best to accomplish your company’s goals. Whether that be one of our sprint packages or ad hoc support.
Once we have defined what success looks like, we develop a use case backlog and get to work! We provide you with a Slack Channel and a Trello board to optimize communication and support.
Throughout the project we will update you on hours used and if you are nearing your minimum commitment. If you feel you need more, simply let the team know and we will provide you with additional support at the same flat rate with no additional charge.
Our sprint packages are done in 8 to 12 week sprints and follow guidelines set by our technology partners. We create a scope of work that we create as a team and we always stick to best practices. We make sure everything follows the business use case and success criterial that we predefine together. We also offer continued support packages for all of our projects.
Analytics Engineers, Data Scientists, Data Engineers, Data Analysts, Data Architects. There are so many different people needed to make a project a success. Luckily we have them all on staff and ready to work on your project. Whatever your project needs we manage the allocation of engineers on the backend. Offering you a flat rate for all Joon Engineers.
Why the modern data stack?
Cloud Based Data Democratization
The modern data stack is the latest wave in data utilization. As more and more companies move to SaaS based software and cloud driven technology the MDS is the quickest and easiest way to put data in the hands of the people that need it. For years people have been dealing with backward facing reporting and analytics, taking weeks or months to get valuable insights. With MDS data is assessable to all and far easier to scale.
A modern data stack will radically decrease report generation time and ensure up-to-date reports. One of our customers recently went from data availability of 8 hours to less than 10 minutes. We streamlined reporting after replacing manual processes and an on-prem databases with a modern data stack, we were able to generate monthly reports in days instead of weeks.
A modern data stack allows your data team to be more productive by increasing available data without consuming in-house IT or DevOps resources. It was developed with ease of use in mind. Before implementing an MDS, businesses relied on manual IT intensive processes and data teams could only carry out their functions after the DevOPs team provided propre access to data streams.
A modern data stack will improve data reliability and eliminate the burden of maintenance. Automated data tools detect and respond to schema and API changes without human intervention, so data teams don’t have to worry about pipeline failures, resource availability or data gaps.
Intuitive and easy to use, modern BI tools are designed to make data accessible to business users and technical employees alike. Before implementing a modern data stack, only relatively small operational teams routinely consulted analytics. Adopting a modern data stack creates an increased number of active users and a typical increase of analytics dashboards by 10x company wide.