Aptus Data Labs' Engagement Model

Our Model was built with years of experience and lessons learned in delivering globally distributed projects. It delivers the benefits from day one by shortening transition time and promoting productive collaboration with the help of Digital Transformation. Our Engagement Model has helped achieve many successful accomplishments for customers and ourselves.

TECHNOLOGY EXCELLENCE

We have been attracting and grooming talents with mix of skill set to provide better insights to customers, we have built a COE, to ensure every single business problem is answered using the best tool and technologies by the finest brains in the Industry.

Our approach to build analytical competency (CoE)

Right mix of education, communication skill, programming knowledge, experience and learning


PEOPLE EXCELLENCE

With over 450+ years of collective experience in Information Management and Analytics, we are a lean and mean mission focused team, that has successfully led and delivered projects across regions and time zones, with multiple successful, Big Data and Analytics implementations.

Key disciplines of the team at Aptus Data Labs; that we use to solve our clients' problems:

We take pride in training our resources on the latest tools and technologies. Our certifications speak for themselves.


DELIVERY EXCELLENCE

Our service delivery foundation is built on:

  • Providing analytical services using Hadoop Ecosystem
  • Leveraging a strong Data to Decision framework
  • Highly experienced team with cutting edge Big Data and Business Intelligence skills
  • Focus on building competency on Data Science (Mathematics + Statistics + Modelling + BI + SME)
  • Product and solution based approach
  • Partnering with lead technology and market research firms.

Our typical Delivery approach to a Business Problem using CRISP-DM, KDD & Agile Development with #DigitalTransformation



Aptus Data Labs delivery process is simple, agile and pervasive which has enabled us to cater to our clients' objectives and helped in solving the issues more systematically.

Experimentation

Understanding capabilities of the big data ecosystem

Implementation

Developing the first production use cases for digital business processes

Expansion

Expanding to multiple use cases/processes across the company

Optimization

Optimize, integrate, and converge data, applications, and processes

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