Is your company data science ready?

Measuring your company’s readiness before engaging in a data initiative will ensure that you can effectively plan for success.

WHY READINESS MATTERS DIMENSIONS OF READINESS MEASURING READINESS HOW IT WORKS OUR PROCESS WHAT YOU GET WHY ISC?CASE STUDIES

Why data science readiness matters

Before you can extract value from data, you need the foundation to support it.

Prevents wasted investment
Most data science projects fail because the right people, systems, or data quality aren't in place

Enables confident decision-making
You cant make data-driven decisions if you dont know whether your data is complete or reliable

Provides a clear starting point
Identifies specific gaps and gives you a structured roadmap instead of guessing where to begin

Delivers quick wins while building long-term capability
Identifies immediate opportunities for improvement while on the path to bigger goals

Aligns resources with reality
Determines the right mix of internal and external resources needed to succeed

Dimensions of data science readiness

Business strategy and goals

Clear objectives for data science
Project prioritization
ROI of data science initiatives

Leadership and decision-making

Strategic integration
Business process maturity
IT process maturity

Culture

Collaboration
Data culture
Openness to change

Governance

Data-driven decision-making
Executive support

Data infrastructure and quality

Data availability and integration
Data management
Data quality and structure

Data competency and skills

Data literacy of employees
Expertise in the organization
Training opportunities

Technology and tools

Analytical platforms
Computing resources
Tools, platforms and automation

Measuring readiness

Using the seven dimensions of data science readiness, we evaluate and score your  company’s strengths and weaknesses against industry-standard recommendations.

How does the Data Science Readiness Assessment work?

A structured, collaborative process designed to lay the groundwork for successful data science projects.

Phase 1: Self-assessment

Our 30-question self-assessment will help you orient to the dimensions of data science readiness while identifying high-level strengths and weaknesses of your company.

Phase 2: Workshops

In an initial workshop, we map data flows to your value stream in order to identify constraints and potential quick wins.
We conduct a series of interviews with your employees and leadership for a deeper assessment. We also look at data samples and relevant IT architecture.
In a final workshop, we deliver the assessment results and discuss potential quick wins in your organization.

Phase 3: Deliverables

Data science readiness map
List of quick-win actions
Clear criteria for data project selection
Clarity on culture and skill maturity and tailored development steps

Our Process

The Data Science Readiness Assessment follows a structured timeline to deliver predictable results.

What you get with a Data Science Readiness Assessment

An accurate picture
of your status in all seven dimensions of data science radiness as well as an industry benchmark

Recommended quick wins
will help you to create impact directly

Evaluation of potential benefits
to be drawn from existing data strucures and processes

Resource alignement
between your projected needs and what is available internally as well as externally

Clarity on blockers
to creating value from your data

Clear criteria
for data project selection and kick-off giving you confidence before you invest.

Industries we serve

The Data Science Readiness Assessment is tailored for companies across multiple industries, including:

Manufacturing + supply chain: Optimize production, reduce waste, and improve forecasting
Financial services: Leverage risk analytics, fraud detection, and customer intelligence
Retail + e-commerce: Gain insights into customer behavior and inventory management
Healthcare + life sciences: Improve patient outcomes through data-driven decision-making
Technology + SaaS: Build scalable, data-driven products and analytics solutions

Why choose Insight Softmax?

AWS-certified experts: As an AWS Partner and Reseller, we provide deep expertise in AWS analytics solutions
Flexible engagement models: Whether you need consulting, implementation, or a fully managed service, we adapt to your needs
Technology-agnostic: While we specialize in AWS, we also work with Azure, Google Cloud, and on-premise solutions