Our approach / Data Agility

Data Sprint

Short delivery cycles, prioritization by value and focus on the business process, not the tools. The sprints deliverables will be the business indicators and software artifacts that generate significant gains for the customer. The learning generated during the process will be used in the following project cycles. The result is always different and better than the initial plan.

Market leaders work with our service

DATA SCIENCE and MACHINE LEARNING

for more agile and prioritized business decisions, with RISK and COST REDUCTION​

We bring to Data Science projects the same agile and lean approach as on digital product development projects. We deliver more value in a shorter time and with no need to immobilize investments on BI and Big Data traditional platforms.

How it works

How we do:

Applying Agile Methodology

Short delivery cycles

Prioritization by value

Focus on the business process and not on tools.

Since Data Science and Machine Learning, the way of thinking Data
has changed radically.

A flexible platform, which allows wide capacity for experimentation and manipulation of large amounts of data, making it possible to have insights and use machine learning resources to support your business decisions with less risk and cost.

business opportunity identification, validation and acceleration

data-driven methodology

results in a short time

short delivery sprints

low investment

Data science and Machine Learning

Discover our other services.

Find out how we can help improve your company’s performance

Our Solutions

Data Analytics

Data Analytics Sprint is a data initiatives accelerator. Our data science team is able to identify, validate, and speed up business opportunities that can be leveraged through data analysis, in a short time and with low investment. From 2 to 4 weeks, we structure your primary needs and create an evolution plan based on Data-Driven methodologies.

“I will always reach out to CINQ as my first choice for development.”

“The time-sensitive project was completed within the required time, ensuring the company didn’t lose a crucial revenue stream. The team is skilled, professional, and excellent at what they do, working seamlessly alongside the in-house team.”

– Jeffrey Andrews, CTO, GT Software

Data Sprint

Short delivery cycles, prioritization by value and focus on the business process, not the tools. The sprints deliverables will be the business indicators and software artifacts that generate significant gains for the customer. The learning generated during the process will be used in the following project cycles. The result is always different and better than the initial plan.

→ business opportunity identification, validation and acceleration

→ results in a short time

→ low investment

→ data-driven methodology

→ short delivery sprints

→ Data science and Machine Learning

Applying Agile Methodology;

Short delivery cycles;

Prioritization by value;

Focus on the business process and not on tools.

Business Achievements.

500+

Clients

3000+

Projects

900+

Employees

There is only one
way to solve it: doing it.