Data Team as a Service

What is

Data Team as a Service?

Data Team as a Service is our approach to working with organizations to solve their biggest analytics problems – getting the right team &  process that works.  

With us, you’ll get more than an individual. You’ll get a team of experts covering the end-to-end spectrum of analytics that makes sure your analytics journey is successful.

WHY DATA TEAM AS A SERVICE

Enjoy the financial freedom of scalability and flexibility

Allows you to expand & contract in areas of analytics.
You can build your data infrastructure to perfection.
Allows you to expand & contract in areas of analytics

Sing from the same hymn sheet

All your data across multi- cloud and on- premises repositories in real time allowing business users to be more Agile and Insightful.

Keeping pace with disruption

Business wants to invest in automation, the current shortage of experts can hurt their plans.
We can offer the exact data science/ big data expertise with cloud-native development experience to suit your needs centrally.

How DTaaS Adds Value

Strategic Stage

Study data-related business problems and challenges. Developing Analytics Strategy & Roadmap. Data & Analytics Maturity Study. Road map to BI Maturity for building an insight-driven organization. Developing Data Architecture.

Execution Stage

Data Modelling & Integration. Development of ETL Pipelines. Dashboard development with well-defined KPIs and RAG indicators. Automation of Data Processing.

BAU Stage

Developing business critical insights. Monitoring KPIs and performance for spotting trends, tracking goals, etc. OnDemand Reporting. Generating  recommendations for improvements.

Support

Continuous Improvements and support. Development of change requests. Data Governance. Evaluation of Data Strategy.

DTaaS Team
Units

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01.

Business Analyst

Requirement gathering and ensuring the focus of analytics in the context of a business problem or an opportunity

02.

Project Manager

Modelling, dashboarding, development of data pipelines, and maintaining data quality.

03.

Data Architect

Designing, creating, deploying, & managing a data eco system

04.

Analytics Engineers

Modelling, dashboarding, development of data pipelines, and maintaining data quality.

05.

QA Engineers

Maximizes quality of final product through data validation and system testing.

06.

Data Scientists

Uses scientific / statistical methods, processes and algorithms to extract knowledge and insights from structured and unstructured data.

Enjoy the financial freedom of scalability and flexibility

Allows you to expand & contract in areas of analytics.
You can build your data infrastructure to perfection.
Allows you to expand & contract in areas of analytics

Sing from the same hymn sheet

All your data across multi- cloud and on- premises repositories in real time allowing business users to be more Agile and Insightful.

Keeping pace with disruption

Business wants to invest in automation, the current shortage of experts can hurt their plans.
We can offer the exact data science/ big data expertise with cloud-native development experience to suit your needs centrally.

Get in touch

Request a
call back or book Free Consultation

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