our services

Data Team as a Service - (DTaaS)

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.

WHY DATA TEAM AS A SERVICE

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.

  • 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

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.

Building a vision to help fulfilling your goals

Tech Solutioning as a Service - (TSaaS)

What is TSaaS?

A service that is opening to the market the quick and easy access to a cohesive team of cross-platform coders, UI/UX designers, QA professionals and support engineers with any desired skills all managed and executed through experienced Project Managers.

Who will be the most benefited from TSaaS?


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Yet to set up a full development team.


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Has a flourishing business that requires custom tech to help you scale up.


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If you have an unforeseen increase in development projects.


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If there is a temporary spike (of a few months or quarters) in dev. Workload.


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Facing a capacity issues due to high fluctuationa.


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In need for a rapid prototype.

TSaaS Team
Units

01.

Project Manager

Organizing & prioritizing deliverables, commitments, communication with stakeholders and data governance.

02.

Business Analyst

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

03.

Data Base Engineer

Analysis the data sets and the projects the future data requirements based on requirements gathering. Defines and designs data structures and flow to meet project needs efficiently.

04.

Data Scientist

Creates and integrates data science models that can have an 10X impact on the solution being developed. These models gives our clients a competitive advantages in the market.

05.

Front-end Developer

Designs the UI/UX of the platform. Applies design laws to arrive to optimal operatable platforms. Coding to ensure a smooth integration with the back end.

06.

Back-end Developer

Building the back bone of the systems that allows it to connect to the front end and the data base. This vital layer is what brings the system to life.

F.A.Q

Do I need all of them for my project?

We believe that every organisation will have unique analytics needs. We discuss your use case and design a data team that fits your unique needs.  

How flexible is the model?

This model is highly flexible giving you the opportunity to scale up / down as per your needs, within a 15 days’ notice 

Is there a minimum commitment?

No, there is no minimum commitment. Our DTaaS is a designed in a month-to-month commitment model. With a notice of 30 days’ and we will wrap up our work and hand over everything to you.

Does it include software costs?

We are strictly a services company. We will help you in selecting the right software, however, you will own the software and its licenses 

What all tools is your team familiar with?

We cover all major analytics tools 

Tableau, Power Bi, Alteryx, Azure Data Factory, MSBI, Python, Knime, SQL, SiSense, QlikView, Looker, R programming, Google Data Studio.

How do we get started?

Reach out to us and we’ll set up a 30 mins discovery call to learn about your goals and help you decide if DTaaS is right for your use case. From there on, we will progress as needed. 

We believe that every organisation will have unique analytics needs. We discuss your use case and design a data team that fits your unique needs.  

This model is highly flexible giving you the opportunity to scale up / down as per your needs, within a 15 days’ notice 

No, there is no minimum commitment. Our DTaaS is a designed in a month-to-month commitment model. With a notice of 30 days’ and we will wrap up our work and hand over everything to you.

We are strictly a services company. We will help you in selecting the right software, however, you will own the software and its licenses 

We cover all major analytics tools 

Tableau, Power Bi, Alteryx, Azure Data Factory, MSBI, Python, Knime, SQL, SiSense, QlikView, Looker, R programming, Google Data Studio.

Reach out to us and we’ll set up a 30 mins discovery call to learn about your goals and help you decide if DTaaS is right for your use case. From there on, we will progress as needed. 

Let’s start your
analytics Transformation journey.

Request a
call back

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