Data Pilot

BACKGROUND

Introduce your business and what you do there.

I’m a lead at a data science startup. We solve other companies' data science problems by providing business intelligence solutions. For example, we help them compare data from different sources, extract insights, and use those insights for decision-making.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Data Pilot?

We needed help with a small project that would also help us evaluate our own platform’s performance, so we hired Data Pilot.

SOLUTION

What was the scope of their involvement?

Data Pilot helped us with a small marketing spend analysis project. Initially, we provided them with a brief detailing our acceptance criteria. Their goal was to deliver a working code that showed us the analysis on our platform, which included creating all the dashboards and documentation needed. To achieve this, they gathered all the data related to our marketing spend and developed a data storytelling demo product that showed us our main issues and how to address them.

What is the team composition?

We worked with three teammates from Data Pilot and their CEO, who also interacted with us.

How did you come to work with Data Pilot?

I found them while searching for a partner who could meet certain requirements. After our initial conversations, I really liked how engaging Data Pilot’s CEO was. He gave us confidence in the project because he trusted our platform and told us that he could deliver the project, so we started working with them.

How much have you invested with them?

We spent around $5,000.

What is the status of this engagement?

We worked together from November 2022–January 2023, and this time period included all of our conversations prior to and after the project delivery.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement? 

Data Pilot successfully showed us that our platform is very useable; they did a good job. Ultimately, they delivered a beautiful data storytelling demo for marketing spend analysis.

How did Data Pilot perform from a project management standpoint?

I can vouch for Data Pilot’s project management methodologies. They had a very strong way of letting us know exactly what they would deliver and how they were accounting for their time. Overall, they did a great job at setting expectations and delivering accordingly.

Throughout the project, Data Pilot was very clear about the details for the execution and gave us visibility on the progress — they really excelled at that. Thanks to this, we didn’t have to worry about overages in the invoices or working hours because they were very transparent. They used a project management tool to manage our project and shared a dashboard with us to give us visibility on what was happening with the data.

What did you find most impressive about them?

Data Pilot’s project management methodology was outstanding — their communication and transparency set them apart from other service providers. Even when we had issues that slowed things down, they let us know about those issues while simultaneously working on solving them. Once they solved those issues, they also let us know that they would be delivering things faster. Overall, Data Pilot did an excellent job at balancing their communication and deliveries.

Are there any areas they could improve?

I can’t think of anything Data Pilot could have done differently. 

Do you have any advice for potential customers?

Spend some time with Data Pilot’s CEO having upfront conversations and ensure you’re getting the best resources for your project.

BACKGROUND

Please describe your company and your position there.

Swyft Logistics is a 3PL startup that has grown multifold over the last couple of years. We are tech and data focused company as automation and realtime decision-making is crucial in our industry. I work as VP of Engineering at Swyft Logistics and lead the company's tech strategy and execution.

OPPORTUNITY / CHALLENGE

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

We hired data pilot to build for us an analytics dashboard that becomes our go-to tool for decision making regarding nation-wide delivery operations.

SOLUTION

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

We were in a lookout for a dependable data partner. I had personally worked with the CEO of Data Pilot at another organisation so requested him to give a demonstration of their work to our senior management. The Data Pilot team gave excellent demo customised to our needs and they were handed over the project.

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

The project kicked off with the discovery phase to identify the current problems and the possible solutions. An NDA was signed which was followed by a project scoping activity. Once the scope of deliverables was finalised controlled access of Database was provided to the Data Pilot team. They prepared data dictionaries and mapping documents to kick off ETL scripting process. Cloud Services were provisioned on AWS support the ETL and Data Warehouse creation. Dashboard visualisations followed after that. Once the widgets were ready we went into a testing/feedback cycle that allowed both the team to fine finish the final product.

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

A project manager, 1 Data Scientist and a Data Engineer worked with us. The CEO also participated in feedback calls

RESULTS & FEEDBACK

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

The Dashboard provided near real-time visibility to our operations team. Our warehouses holds thousands of parcels that are to be distributed everyday. With the new Ops dashboard now we are able to see aspects like parcels ageing, number of parcels dispatched right now, parcels' activity over a time range etc.

How effective was the workflow between your team and theirs?

We opened a slack channel for the two team to communicate. Being in the same timezone further helped our interaction. Data Pilot team ensured that the minutes of the meeting were shared in a timely manner. Did not face any hiccup during the project

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

Proactiveness

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

Addition of a subject matter expert/business analyst could be helpful

BACKGROUND

Please describe your company and your position there.

I am the Head of Customer Success at Triple Tree Solutions, we are into the process of digitizing textile supply chain and Driving Digital Transformations for the Textile Supply Chain Agile, Transparent, and Smart Digital Solutions that enhance productivity and optimize quality management for apparel brands, non-apparel brands, retailers, manufacturers, and inspection companies.

OPPORTUNITY / CHALLENGE

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

It's majorly for analytics and Ai / ML incorporation

SOLUTION

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

We have a connection working here and asked him to help us digitize our analytics.

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

We wanted the dashboards to be implemented with our SaaS product and hired Data pilot to make this workable for us.

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

Their CEO is our main contact and 4 people are working with us.

RESULTS & FEEDBACK

How effective was the workflow between your team and theirs?

The workflow is very effective since we use DevOps to design and explain.

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

N/A

BACKGROUND

Please describe your company and your position there.

I'm CEO & founder of Systematik. A data consulting company that helps businesses make money from their data.

OPPORTUNITY / CHALLENGE

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

After getting a bigger project, we needed help in streamlining and productizing a data pipeline.

SOLUTION

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

We had to first find the common characteristics of our typical clients in order to build the template pipeline. Then connect to all the different platforms our typical clients are using and extract the desired data. We then transformed the data in dbt and stored those tables in BigQuery. We used data Studio to visualize the data.

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

2 person. CEO as project manager and 1 data engineer.

RESULTS & FEEDBACK

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

Data Pilot helped us build a solid yet scalable data pipeline that accelerated our product to the next level.

How effective was the workflow between your team and theirs?

They joined our Slack channel et always responded fast.

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

Since their team consisted of 20+ individuals, you would have access to a lot of people with different skill sets.

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

Cleaner code and a better setup for meetings. It seemed like they either had a slow connection during meetings, we're outside of the office, or had poor equipment.