Modern Business Solutions | Analytics, ML Models, and Applied AI | Global Data Ops Teams
“At Joon Solutions, we pride ourselves on being the best in the world at what we do. We provide our clients with unparalleled expertise and insights that help them make data-driven decisions and achieve their business objectives. Our team of experienced data scientists, engineers and analysts work closely with our clients to understand their unique needs and challenges. Using cutting-edge technology and methodologies, we help them unlock the full potential of their data. We don’t just provide solutions, we empower our clients to take control of their data and turn it into a powerful asset. We are the true partners of our clients in their data-driven journey, helping them to achieve their goals and create a sustainable competitive advantage in their industry”
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Data Observability with Elementary
1. What is Data Observability? Data observability is the ability to observe data and data-related jobs in your data system. This will help you monitor your data pipelines, understand whether the system is operational, where the data are coming from and flowing into, which transformations…
Roadmap: Data Strategy for SMEs
“Insight not hindsight” should be the guiding force for decision-making among small and medium enterprises in a post pandemic world – according to a new RSM Australia report that highlights the value of data in a competitive market. The report challenges the common notion…
Choosing Vietnam: All about trusting the data for American entrepreneur
Choosing Vietnam: All about trusting the data for American entrepreneur By Harry Hodge Friday, Feb 12, 2021,15:20 (GMT+7) Jon Barrett noted that as Vietnam and Southeast Asia grow, Vietnam is quickly becoming a growth hub as well as a cosmopolitan destination with plenty to offer…
What the heck is data analytics? Explain it like I’m five.
Howdy y’all, at Joon we try to find talented individuals for all aspects of our business and try to engage as many people as possible in the ways of data awesomeness. Surprisingly, there are still quite a few people that don’t quite understand what the…
Is Your Ecommerce Platform Mobile Proof?
If it wasn’t clear that eCommerce was a force to be reckoned with at the beginning of 2020, it has become painfully obvious at the end. Many SMEs, and ever larger companies are only in the very beginning stages of their eCommerce journey. In this…
Data modeling pitfalls and where to find them
There are many works related to the data modeling task – technical side and business side of things, below are some important lessons I have learned along the way implementing data projects, as DA and AE. This post aims to draw some conclusions on the…
RFM model and user segmentation built on Looker
As Data and Business analysts, we have all encountered situations where we need to segment customers based on their engagement with the business. An RFM model has a few benefits. It enables marketers to increase revenue by targeting specific groups of existing customers called “segments”….
Automated, Targeted Marketing
Vinpearl is Vietnam’s largest resort and hotel chain, with more than 30 properties across Vietnam. Use case: Breaking the data silos and better serve customers with targeted marketing 360-degree customer view: For the first time, the company can know everything about a customer that enables…
Computer Vision
Powerful pre-trained machine learning models through assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
VPN vs SSH tunnel and why do companies use them?
When you are an outsource company and you’re working with clients, if they have a database data source, you are most likely to connect to it through a VPN or through an SSH tunnel. Have you ever wondered: why all this shenanigans? Why not just…
How PE firms can turn data science into a competitive advantage
The emergence of data science in PE To win in the current market, PE firms need an edge. For many companies, data science and machine learning are uncovering new insights about potential sources of value for both targets and portfolio companies — providing the edge…
Saigon Times: Made-in-Vietnam app set to revolutionize wound diagnosis
HCMC – Imagine you are cooking on a hot stove and burn your hand. Don’t you wish you could just take a photo and find out the severity of the injury? Well, there’s an app for that – being developed in Vietnam. A made-in-Vietnam app…
7 Real-World Examples of Business Intelligence in Use
7 Real-World Examples of Business Intelligence in Use Written by Matt David on May 12, 2020 While the core definition of business intelligence (BI) has remained relatively the same over the past 155 years — using data to make good business decisions — how businesses use BI has changed quite a…
Joon Solutions Achieves the Data Analytics Partner Specialization in Google Cloud Partner Advantage Program
Google Cloud Recognizes Joon Solutions’ Technical Proficiency and Proven Success In Data Analytics Hochiminh City, May 27 — Joon Solutions, a leading data consulting firm today announced that it has achieved the Data Analytics Partner Specialization in Google Cloud Partner Advantage. By earning the Partner Specialization,…
5 Key Components of a Successful Modern Data Strategy
In this post-pandemic digital era, where data is the key driver of business growth, having a traditional data strategy can put companies behind the curve. Enterprises are currently dealing with a massive amount of real-time streaming data, including management tasks such as database provisioning, patching,…
4 ways data silos are silently tearing down the organization
What are Data Silos? A data silo is a collection of data held by one group that is not easily or fully accessible by other groups. Data tends to be organized by internal departments. Finance, administration, HR, and other departments need different information to do…
BROOKLINEN, Inc. Growing Data Team
Location: New York, United States Industry: Bedding products, Lifestyle & health Founded: 2014 Website: https://www.brooklinen.com/pages/about Having Brooklinen as a customer and a partner over the past year was Joon’s honor. At the time when we first started working with Brooklinen, the team was in need of data reporting for…
The Most Terrifying Thought Experiment of All Time
Why are techno-futurists so freaked out by Roko’s Basilisk? BY DAVID AUERBACHJULY 17, 20142:47 PM WARNING: Reading this article may commit you to an eternity of suffering and torment. Slender Man. Smile Dog. Goatse. These are some of the urban legends spawned by the Internet. Yet…
What is ‘vendor lock-in’ and how can you avoid it?
What does ‘vendor lock-in’ mean? Vendor lock-in refers to a situation where the cost of switching to a different vendor is so high that the customer is essentially stuck with the original vendor. Because of financial pressures, an insufficient workforce, or the need to avoid…
What Is the Modern Data Stack?
A radically new approach to data integration saves engineering time, allowing engineers and analysts to pursue higher-value activities. The modern data stack (MDS) is a suite of tools used for data integration. These tools include, in order of how the data flows: a fully managed…
Coalesce dbt Gold Award – Collective reflections from Joon’s Leadership Team
Coalesce has come and gone and with it there were a lot of fantastic surprises and developments that we want to share. Starting with us, Joon Solutions, being awarded the dbt Gold certification award. There were only 12 companies featured for a certification award and…
Modern Data Warehouse Infrastructure Case Study
Based in Keasbey, New Jersey, ShopRite consists of 50 individually owned and operated affiliates with over 300 stores, all under its corporate and distribution arm, Wakefern Food Corporation. Wakefern itself owns and operates 28 of the locations through subsidiary ShopRite Supermarkets and is the largest…
6 Biggest Data Strategy Mistakes Every Company Must Avoid
Written by Bernard Marr Every business is now a data business. Data is a key strategic asset today whether you’re a large international conglomerate or a locally owned, family-run business. If you don’t have an effective data strategy—or one at all—your company is missing out on…
Best Practices for Managing Data Access to BigQuery
What to know in terms of security when setting up a data environment in BigQuery. As we rely more and more on our data to make better decisions, data is becoming a critical asset for any organization. So like any other asset of a company, controlling…
Top 12 BI tools of 2021
With more and more data at our fingertips, it’s getting harder to focus on the information relevant to our problems and present it in an actionable way. That’s what business intelligence is all about. BI tools make it simpler to corral the right data and visualize it…
Industry players join retail discussion at December Eurocham Event
HCMC – With the global Covid-19 pandemic continuing to make its mark in all industries, some of the brightest minds based in Vietnam gathered earlier this month to talk about how the retail space has been impacted. Leaders from several retail-related fields took part in…
5 Advantages of Data-Driven Decision Making
Due to the recent growth and advancement in modern technology, data-driven decision making has become a crucial part and parcel of most businesses. Data-driven decision making entails making decisions that are backed up by hard data rather than making decisions which are only based on…
Cloud Migration for Environmental Sustainability
The trend of migrating business to the cloud has been vastly accelerated through Covid-19, Canalys reports the worldwide cloud market growing 33% in 2020. With lockdowns extended in various regions across the globe, the cloud will remain a vital lifeline for many businesses and education…
How to migrate dashboards from Tableau to dbt and Looker
Things you need to be aware Workflow Tableau uses structured and unstructured data to create visualizations and has the added features of storyboarding and Spatial File Connector. Looker creates customized visuals and also allows you to choose from a library full of blocks with pre-made…
Top 7 Data Science Use Cases in Finance Industry [2021]
Finance is one of the most critical sectors in the world. Finance management used to require a lot of effort and time, but not any more. Using Data Science, now one can quickly analyze finance and make a better decision to manage finance. Now Data…
Challenges in Digital Transformation
In an article published in January 2018, by McKinsey, it is stated that most digital strategies wouldn’t reflect how digital would be changing economic fundamentals, industry dynamics, or what it means to compete. The processing power of today’s smartphones is several thousand times greater than…
How to Measure Your Organization’s Data Maturity
Written by Alex Bratton Most organizations today are struggling with how to advance in their use of data (see our recent article on. The good news is that it’s straightforward (and doesn’t require huge investments in tech and lots of new tech hires) to use…
How to identify the best customers using RFM based segmentation
Written by Satish Chilakala The best customers are not always what we call the high-value customers With some free time at hand in the midst of COVID-19 pandemic, I decided to do pro bono consulting work. I was helping a few e-commerce companies with analyzing…
Why Every Company Needs A Data Strategy
Written by Bernard Marr Data matters to any company, regardless of size, sector or type. In fact, data is one of your biggest business assets, alongside your products, services, intellectual property, and people. But to get the most out of data, it’s vital you have…
Data-Driven Supply Chain Strategies for E-Commerce Brands
Written by Jaime Lee Data is complicated — sometimes it’s confusing, sometimes it’s a lifesaver. In the world of marketing, it’s a must, and savvy digital marketers are already well-versed in using tools like Google Analytics, Adwords, and other social media analytics to support marketing campaigns….
[Infographics] Advantages of AI-Driven Decision-Making
Due to the recent growth and advancement in modern technology, data-driven decision making has become a crucial part and parcel of most businesses. Data-driven decision making entails making decisions that are backed up by hard data rather than making decisions which are only based on…
AWS Cloud Offerings
“With the cloud, individuals and small businesses can snap their fingers and instantly set up enterprise-class services.” –Roy Stephan, 2011 A bit of cloud History In 2003, two Amazon engineers came up with an idea to use the company’s existing computing infrastructure as a platform…
What is a Data Science Life Cycle?
written by NICK HOTZ A data science life cycle is an iterative set of data science steps you take to deliver a project or analysis. Because every data science project and team are different, every specific data science life cycle is different. However, most data…
How and When to Use AI to Augment Traditional Analytics
by Chris Pouliot Every business wants to be more data-driven, and artificial intelligence technologies are an important way to augment traditional statistical analysis. But don’t let the hype around AI persuade you to force it onto problems where it’s not needed. That will only lead…
How to Deploy dbt to Production using GitHub Actions
Written by Tuan Nguyen While dbt Cloud is great, if you want more control for your dbt pipeline, here’s all you need to know. With the rise of the Modern Data Stack, more and more people use dbt as the main tool for data transformations,…
How to make basic API requests with Postman
Note: This article is meant for those with little to no knowledge on how to call an API. 1.Purpose 2. Overview 2.1. What is an API? Why using API? 2.2 Types of API 3. Demo: How to call API with Postman 3.1. Structure of an…
Why Snowflake is special
Snowflake’s Cloud Data Platform Whether you’re a business or technology professional, get the performance, flexibility, and near-infinite scalability to easily load, integrate, analyze, and securely share your data. Snowflake is a fully managed service that’s simple to use but can power a near-unlimited number of…
GCP Cloud Offerings
Why Cloud? “There was a time when every household, town, farm or village had its own water well. Today, shared public utilities give us access to clean water by simply turning on the tap; cloud computing works in a similar fashion. Just like water from…
Data Deduplication with ML
Problem Statement Briefly, we work with a company and they allow their customer to sign up for account. The company has so many branches, and one customer can open one (or more) account(s) at any branch. As a result, duplication happens, so here we are….
Five Smart Marketing Use Cases For Artificial Intelligence
Leveraging artificial intelligence (AI) is now commonplace in marketing. Tools, platforms, and services put sophisticated audience targeting and segmentation tools at marketers’ fingertips, making it easier than ever to connect your products and services to customers. As organizations grow more sophisticated in their adoption of…
Data Science: From a data scientist perspective
What I’ve Learned Doing Data Science and Analytics at 8 Different Companies and 4 Jobs in 6 Years Cameron WarrenOct 16, 2019·5 min read Over the past 6 years, I’ve done Data Science and Analytics projects at companies like Adobe, USAA Bank, Nu Skin, Purple…
6 Steps To Deal With Daily Email Hurdle
Email is still the core mode of communication in our work and personal life for many of us. When I started with my career, dealing with email is not an issue since I did not get that many emails. However, they started coming in more…
Azure data service platforms overview
As you may know, Sql server is one of the first database management systems for both operation and analytical purposes in data warehouses. As time goes by, as more and more cloud service providers start to appear, people seem to forget where they started when…
Data Warehouse, Data Lake, Data Mart, Data Hub A Definition of Terms
Written by Kartik Patel In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained…
Future-Ready Business Intelligence
State-of-the-art BI means delivering faster and more accurate information to decision-makers. We call this the “Democratization of Data” because it puts the control in the hands of everyone at every level of the organization. Download the White paper for free! While first-wave and second-wave of…
Become an Analytics Engineer in 90 Days
Become an Analytics Engineer in 90 Days The tale of a Data Analyst who evolves into an Analytics Engineer and resources so you can use to be like her. Tuan Nguyen2 days ago·6 min read Analytics Engineer is a new position coined (and made possible) by dbt….
[Infographics] What is Data as a Service?
As more and more organizations turn to the cloud to modernize their infrastructure and workloads, data as a service, or DaaS, is becoming an increasingly popular solution for data integration, management, storage, and analytics. By embracing DaaS, companies can improve the agility of data workloads, reduce time-to-insight, and increase…
SQL do’s and don’ts
Originally posted here SQL do’s and don’ts Why bother? When I first learned SQL, my mindset was mostly “Meh, if it runs, it’s done”. Over time and with some reality checks, I have gone to the opposite of the spectrum and learned to — for…
Joon@Financial Times : New Challenges for Digital-First Businesses
It takes human judgement to design and maintain effective algorithms. More than ever is empathy crucial to, in combination with big data, provide the best possible results. Set up the robot (head) and the human (heart).
Traditional vs. Modern Business Intelligence
In a world where the amount of data produced grows exponentially, federal agencies and IT departments face ever-increasing demand to tap into the value of enterprise data. With thepotential to increase business value and overall mission effectiveness, many agencies are seekingnew and innovative ways to…
Self-service business intelligence (BI)
Written by Looker What is self-service BI? Self-service business intelligence (BI) tools allow people in your enterprise to analyze business data and present the information from that analysis — without tying up your IT or BI teams. By offering self-service BI, you can help optimize the…
Exploratory Data Analysis (EDA) using SQL and Datagrip
Exploratory Data Analysis (EDA) is something that we do pretty frequently. This is the first and foremost step to do at the beginning of any project, before we jump into more sophisticated work like refactoring or modeling. It’s like saying ‘hi’ to your fellow lovely…
5 Data Analytics Statistics to know for 2022
5 Data Analytics Statistics to know for 2022 1. The global business intelligence market will be valued at $30.9 billion by 2022 According to research by Beroe, Inc., a leading provider of procurement intelligence, the global business intelligence market is estimated to reach $30.9 billion by…
Guide to Successful Digitization of Assets for Exit Readiness
Guide to Successful Digitization of Assets for Exit Readiness Increasing EBITDA margins across the buy-and-build lifecycle is every private equity firm’s goal. Using data to expose inefficiencies and drive higher revenue is a proven way to drive the resell value of SME’s. Today’s challenge is…
8 Tips to Greatly Enhance Your VSCode Productivity
Getting your way around an IDE is a vital part, whether you are an engineer or an analyst. Watching a senior developer jumping around in Vim or VSCode can be intimidating for people with less familiarity. However, I assure you that there is no magic…
Top 5 Digital Transformation Trends in 2021 and Beyond
If you look back at the past decade, you’ll remember a world of transition where digital and physical boundaries became blurred. By embracing digital transformation, many organizations have achieved competitive advantages in their industries. But in 2021 digital transformation is not a luxury for businesses —…
Building a streaming pipeline using SQL with Google Data Flow
Written by Tuan Nguyen What is real-time data Real-time data is data that is delivered the moment it is collected. This enables you to process and query those data to inform decisions or fuel data applications. There are some terminologies out there, such as real-time,…
Business & use cases for embedded analytics
Today’s pioneering organizations — not only companies with highly technical products — are taking the initiative to develop their own applications with embedded analytics. In the process, they’re improving the customer experience, reducing costs, and driving revenue growth. “The newest, fastest-growing and most interesting embedding activity…
Azure Cloud Services
Never trust a computer you can’t throw out a window. Steve Wozniak, co-founder of Apple A bit of a strange quote to start an introduction to Windows on. What Steve Wozniak was trying to do here, is making the case of the desktop computer. This…
Enabling data culture in organizations with purposeful documentation
Documentation is so often taken rather lightly or not always on top of projects’ priorities especially when it comes to tight deadlines to follow. The rooting reason for this problem is how the management team is initially viewing and handling data as assets, leading to an insufficiency of purposeful documentation in the development phase, and the availability of suitable tools to navigate to understand their current data in the launching phase. What could have been done better?
Technologies Enabling Digital Transformation
Thomas Siebel in his book “Digital Transformation” clearly mentioned that the technologies that propel digital transformation are game-changing. Still, we are in the very early stages of this new era. He suggests that organizations must learn new technologies to make well-informed decisions. According to Tom,…
Data Modeling and Why It’s Important
Data transforms global processes, from disease research to revenue strategies, construction, and social media ads. Machine-readable data requires context; e.g., customer data needs to correspond to product purchases or price points. Data Modeling assigns relational rules, simplifying data for strategic decision-making. What is Data Modeling?…
Credit Scoring with ML
Ameriprise Financial, Inc. is a diversified financial services company and bank holding company incorporated in Delaware and headquartered in Minneapolis, Minnesota. It provides financial planning products and services, including wealth management, asset management, insurance, annuities, and estate planning. Use case: Beating traditional credit score methods…
Data-as-a-Service: Benefits & Trends [2021]
Data as a Service (DaaS) explaination The big picture idea behind the DaaS model is all about offloading the risks and burdens of Data Management to a third-party Cloud-based provider. Traditionally, companies housed and managed their own data within a self-contained storage system. The problem…
Empower your Employees
Brian Solis, a leading thinker, defines digital transformation as: “The realignment of or investment in new technology, business models, and processes to drive value for customers and employees and more effectively compete in an ever-changing digital economy” If your employees are empowered, they feel happy,…
Fintech ML Models
VinID originated as the Vietnam largest loyalty program of Vingroup. April 1, 2018 marked the VinIDs re-launch event with brand new model and functions. VinID currently has nearly 7 million members and considered as a means to connect customers with Vingroup ecosystem. VinID follows the…
Event-Based Analytics comes to Google Analytics 4
Google Analytics 4, the latest update to Google’s free web analytics service does away with Universal Analytics’ measurement model based around users, sessions and hits and instead adopts the event-based approach used by Segment, Snowplow Analytics and Mixpanel. So how does Google Analytics 4 work…
BI tools choice and its impact on model planning
Sometimes well into the process of creating a dashboard, you may realize “uh oh, expected outcome isn’t compatible with current data model, due to some BI tool limitations”. This article aims to explore some limits of different BI tools and what they mean for the…
Data modeling pitfalls and where to find them
Written by Ha Le There are many works related to the data modeling task – technical side and business side of things, below are some important lessons I have learned along the way implementing data projects, as DA and AE. This post aims to draw…
8 Ways Banks Use AI and Machine Learning to Serve You Better
Banks are more sophisticated than ever, using the best technology. Here’s how they’re using AI to make your life easier. You may have seen Pepper the robot in the news. She has been introduced as HSBC Bank’s in-branch greeter and banking assistant. She currently provides…
How to get the most from a managed IT services provider
How to get the most from a managed IT services provider As the managed services provider market matures, CIOs should resist the urge to go with the lowest-cost provider in favor of partners that understand your business and can help you achieve strategic goals. Leaning…
Supply chain technology trends to open new business possibilities
In summer 2021, Gartner outlined top supply chain technologies promising to have a positive and valuable impact on the industry and overall performance while also getting people engaged in it. And one of the current trends is the necessity to combine existing solutions to improve ROI and…
Future Ready Business Intelligence
Future-ready Business Intelligence State-of-the-art BI means delivering faster and more accurate information to decision-makers. We call this the “Democratization of Data” because it puts the control in the hands of everyone at every level of the organization. This whitepaper provides you with completely a new…
10 Benefits of Using Big Data in Human Resources
Written by SageHR Big Data analytics and their benefits have long been appreciated in executive circles. The data available and insights gained from this information helps organisations to make decisions that can improve operational performance, uplift productivity and positively impact business revenues. For Human Resources…
The Truth About Innovation
Benjamin Franklin (my cat’s name), Leonardo Da Vinci, Nikola Tesla, Eninstine, Oppenheimer, Hunter S. Thompson. People like these have always been my heroes. Trying to figure out what creates that level of genius has been something that I have been interested in for as long…
Bootstrap a modern data stack in 5 minutes with terraform
Bootstrap a modern data stack in 5 minutes with terraform Setup Airbyte, BigQuery, dbt, Metabase, and everything else you need to run a Modern Data Stack using Terraform. Written by Tuan Nguyen What is a Modern Data Stack A Modern Data Stack (MDS) is a…
Upcoming data driven events
This list is updated monthly
Automated data processing with Fivetran and Amazon Redshift
Automated data processing with Fivetran and Amazon Redshift
Uncovering insights with Log Analytics powered by BQ in Cloud Operations
Uncovering insights with Log Analytics powered by BQ in Cloud Operations
Deeper insights and higher conversion rates with Fivetran, dbt, Snowflake & ThoughtSpot
Deeper insights and higher conversion rates with Fivetran, dbt, Snowflake & ThoughtSpot
Preparing for the Cloud Architect Certification Exam
Preparing for the Cloud Architect Certification Exam
Fridays with Fivetran: Shopify Connector Demo
Fridays with Fivetran: Shopify Connector Demo
Google Cloud BI Hackathon 2022
Google Cloud BI Hackathon 2022
Looking to learn from webinars and live meetups? Check out our these events hosted by the Joon Team and our technology partners
Our Favorite Data Stack
Freebies and Special Offers
Together with our favorite technology partners,
we’ve put together special offers including free trials,
sponsored POC’s, and discounted product offerings.
Click on their logo to learn about our favorite
data stack and exclusive offers available
to Joon Solutions customers
Cloud Based Data Democratization for ALL!
Why the modern data stack?
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.
Our approach to modern data projects
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.