Mutt Data

BACKGROUND

Please describe your company and your position there.

I’m the Founder of a Latam based, Information Technology Solutions Consultancy company that combines innovation, agile design methods, and technological development to deliver high-quality and tailor-made digital products & integrations. We specialise in front-end, back-end, ecommerce platforms, integration services and devops and databases.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Mutt Data?

We needed to streamline our data processes, updating our data platform and components to improve efficiencies in storage, transformation and scalability. This required implementing new tools, processes, workflows and paying off technical debt.

SOLUTION

How did you select this vendor and what were the deciding factors?

We selected the vendor based on trusted reviews from industry colleagues who highlighted their expertise in Machine Learning and Big Data. We knew one of the company’s founders well, and got in touch to brainstorm ideas for our challenges. We were convinced by their suggestions and knowledge on the matter. The selected vendor had a great track record, had worked on many projects and was in-line with our expectations in terms of quality and budget.

Describe the project in detail and walk through the stages of the project.

The project had predetermined stages and they were all complete in time and form. There were six main stages. Each had its clear set of goals, milestones and review dates. The whole process was very organised and clear.

How many resources from the vendor's team worked with you, and what were their positions?

We worked with a team of three resources full time. One of them was the lead and our main point of contact. One of the company’s founders was also involved in project reviews and status. The team was qualified, efficient, communicative and easy to work with.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

We saw a 35% reduction in data delivery times inside our organisation. The implemented system reduced data processing and delivery times drastically. The freed up time can now be allocated to current and potential client projects which generate value for our company.

How effective was the workflow between your team and theirs?

Easy to work with. Good Workflow. We were also aligned on the tools and framework used to structure the project’s process: agile, scrum, asana, notion, slack, etc. We got along very well with the vendor team, they were easy to communicate and work with. We had no issues working with the vendors team. They are experts in this field, and looked to tailor their recommendation based on strategic advice and, later, with effective implementation

What did you find most impressive or unique about this company?

We were positively impacted by their team's startup working culture. They genuinely seemed to enjoy the challenge. They were also very agile. A lot of companies mention AI, ML, and Big Data as part of their services but the vendor truly showcased unique expertise in these fields. They are very up to date with the latest practices and tools, and expertly trained.

Are there any areas for improvement or something they could have done differently?

Satisfied with the project. No comments.

BACKGROUND

Please describe your company and position.

I am the IT Manager of Telecommunications Company

Describe what your company does in a single sentence.

Leading telecommunications company in Latin America, currently operating in 18 different countries with a suite of offerings in connectivity, communication, and Information Technology solutions

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Mutt Data to accomplish?

• Identify fraudulent sales of prepaid lines as well as fraudulent transactions using a wallet product in order to reduce costs and comply with financial regulations.
• Predict the credit risk of different clients in order to segment the company´s user base as well as other solutions such as anomaly direction and site maintenance support

SOLUTION

How did you find Mutt Data?

Referral

Why did you select Mutt Data over others?

• Pricing fit our budget
• Great culture fit
• Good value for cost

How many teammates from Mutt Data were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The vendor successfully implemented the following solutions: Machine learning system to estimate churn and upselling probabilities Re-Implementation of Data Pipelines Real-time KPI Monitoring platform with anomaly detection capabilities Machine Learning credit scoring system for postpaid customers

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

• Machine learning system to estimate churn and upselling probabilities
• Re-Implementation of Data Pipelines
• Real-time KPI Monitoring platform with anomaly detection capabilities
• Machine Learning credit scoring system for postpaid customers

Describe their project management. Did they deliver items on time? How did they respond to your needs?

We worked directly with 5 dedicated resources, one of which was a techlead specifically assigned to the project. There was a combination of data scientists and engineers. A clear work process was set in motion from day one. We started with a discovery phase where the vendor got familiar with our challenges, tools and goals. We moved on to tool setup and then development and implementation. The whole process was very communicative

What was your primary form of communication with Mutt Data?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

Their expertise in data and team members were quite impressive. We ended up opening various other tracks and projects. It was clear a lot of thought had gone into all proposed solutions. There were no quick fixes instead thought-out robust solutions.

Are there any areas for improvement or something Mutt Data could have done differently?

No comments.

BACKGROUND

Please describe your company and your position there.

I’m the Chief Technology Officer (CTO) for an consumer education technology company. We operate globally in more than 180 countries with a community of more than 50 million teachers and families who come together to share kids’ most important learning moments in school and at home– through photos, videos, messages & more.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Mutt Data?

We needed a Self-serve DataOps Platform that would empower engineers and analysts to make data processing, storage, transformation and availability, scalable and efficient. We needed to modernize our data platform, addressing ETL issues, duplicated extraction processes, low-confidence in the data, troubled data ingestion from multiple sources and a improve testability and monitoring of input and output tables.

SOLUTION

How did you select this vendor and what were the deciding factors?

Internal referral made in Y-combinator's internal forum, from startups founders that had previously worked with them.

Describe the project in detail and walk through the stages of the project.

The project began with a discovery phase where the vendor took the time to understand our company, status, data, infrastructure and business goals. This was all summarized into a visual plan with proposed solutions and a clear milestone-based roadmap.

After that, the project was organized into the following phases: Kickoff (tools, system access and project organization/communication setup), Development, Implementation, Deployment and Hardening and finally Knowledge Transfer (making sure our team could use and own the new platform).

How many resources from the vendor's team worked with you, and what were their positions?

Their CRO was our main pain of contact, but we worked together with a multidisciplinary team of 3 experts. The team had a dedicated Tech Lead and team specifically assigned to our project.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

By the end of the project there was a 10x increase in data pipeline processing and data asset deliveries. The end result was a data platform that can handle all data processing, transformation, lineage, governance, self-serving workflows, and AI enabled alerting and monitoring for our company’s terabytes of data.

How effective was the workflow between your team and theirs?

Communication was fluid and frequent, we mostly communicated over video chat but also made heavy use of selected tools such as: Asana, Slack, Google Workspace, and Github. The team was open to questions, and quick to answer. Milestones and timeframes were accomplished.

What did you find most impressive or unique about this company?

- Agility to find new ways to solve problems as they developed. - Their experience is noticeable. They had a lot of ideas that were sparked by different projects and industries they had worked in. - I appreciated that it didn’t feel like this was just another project, the team was truly involved in every single aspect of the project. A very dedicated team.

Are there any areas for improvement or something they could have done differently?

They could have been more proactive in promoting adoption of the new tools they were building across the organization. It took some effort to get that new knowledge out to the rest of the teams. We also got to the end of the initial roadmap, but didn't have a plan for a phase 2 ready.

BACKGROUND

Please describe your company and your position there.

I’m the CEO for a startup dedicated to software development with a focus on financial audit automation. Currently, our company offers services in business intelligence, data administration, machine learning and process automation for financial departments. We have a strong presence in the banking industry.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Mutt Data?

We were looking to implement a complete fraud detection solution for our bank auditing efforts. This included setting a system in place to identify anomalies in regards to loss control, internal scams, false positive fraud cases, and investment fund allocation control. The goal was for the system to reduce false positive fraud and reduce fraud generally speaking in our biggest clients.

SOLUTION

How did you select this vendor and what were the deciding factors?

We heard about the vendor on social media, local media outlets and from trusted colleagues who recommended the company to us. The recommendations were a deciding factor. The vendor was in our short list, the deciding factor was the showcased expertise in the discovery meetings. The vendor ticked all of our boxes, they came recommended, they had the necessary team and ml knowhow and they were within our estimated budget.

Describe the project in detail and walk through the stages of the project.

The project was organized into different stages. At first we had a series of review meetings where we analyzed our painpoints and possible solutions to them. Then this was translated into a plan. After that, the vendor set up some channels and tools to start working. The next stages were basically the development of the solution itself, more reviews, improvement stages and final delivery.

How many resources from the vendor's team worked with you, and what were their positions?

There were 5 resources from the vendor’s team. There was a senior data engineer in charge of the team, another senior data engineer, 2 Semi Senior data scientists and one founder who participated as well.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

The implemented system allowed us to reduce false positive fraud cases by more than 10%. Fraud in general was lowered by around 5% in our biggest client segment. We also saw improvements in efficiency of processes.

How effective was the workflow between your team and theirs?

They’re easy to work with, responsive and proactive. They always had useful feedback and were very communicative. Our collaboration was without hiccups. There was always a clear set of stages and milestones, and a visible review calendar to keep work running smoothly. Clear work processes. Good communication and use of tools such as G Suite, Slack, ClickUp, Github, etc. *What did you find most impressive or unique about this company? They took the time to understand what we needed so they could give us the best suggestions before we decided on a proposed solution. Working with them was very easy, they felt like a part of our team.

What did you find most impressive or unique about this company?

We were very content with the quality of Mutt Data’s work. We’ve been using the implemented system for an extended period of time now and were even able to scale it. We noticed immediate improvement in key metrics when implemented. When the project finished, they offered suggestions on how to continue improving the system and how else we could use machine learning in the future. All in all we were very satisfied with the solution, its implementation and the team.

Are there any areas for improvement or something they could have done differently?

I was pleasantly surprised in this regard. Mutt Data made sure we were always in the loop and scheduled different control instances so we could review progress, changes and goals as the project advanced

BACKGROUND

Please describe your company and your position there.

I’m the Co-Founder and CTO of the largest redistributor of surplus medicine in the USA. Powered by technology, our company helps organisations like nursing homes, pharmacies and manufacturers to donate their unused medicine and get it to where it’s needed most.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Mutt Data?

In order to truly leverage our data for decision making we needed to develop our first Data Warehouse where we could consolidate data from all our sources in one place. This was a necessary step in order to become a data-driven company. We needed an experienced vendor to advise us on the best possible solution considering all tradeoffs.

SOLUTION

How did you select this vendor and what were the deciding factors?

Their team came highly recommended. We felt comfortable working with a company with their positive track record.

Describe the project in detail and walk through the stages of the project.

The vendor began by taking the time to understand our current context, this included talking about our infrastructures, current pain points, needs, and data sources, teams, and processes. This was all part of what they called the Discovery Phase. After that, we moved on to the setup of different technical and communication tools. Finally development itself began, followed by the implementation and deployment of the solution. In regards to the solution itself: the implementation consisted of implementing Airbyte to consume data from MySQL, Quickbook, and other sources. DBT for transformations, Airflow for orchestration and Quicksight for dashboard capabilities.

How many resources from the vendor's team worked with you, and what were their positions?

We generally worked together with a team of six experts who were specifically assigned to our project. Our main contacts were the team's dedicated tech lead and one of the vendor's co-founders.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

Integrated dashboards

How effective was the workflow between your team and theirs?

From day one, working with the vendor was easy going. They made a visible effort to keep in sync and all relevant people were always in the loop. The use of weekly meetings, task tracking systems and a clear roadmap made the workflow run smoothly. Their team was always readily available.

What did you find most impressive or unique about this company?

I appreciated their extensive experience building cloud and data infrastructures as well as full stack machine learning systems. Not only did this allow for a robust tailored solution but also for a cost-effective one.

Are there any areas for improvement or something they could have done differently?

We’ve been working together with the Mutt Data team for several years, suggestions are usually applied so there are not really improvements to be made at the moment.