AI & Analytics Assessment

24 March 2024

AI & Analytics

Blog tailwind page

Trillions of data points related to organization’s functions, customer behavior and operations are being generated as organizations are undergoing digital transformation. In depth understanding of patterns underlying data and actionable insights drawn from it are imperative in driving an organization towards business excellence.

The journey of Artificial Intelligence adoption can be taken forward when the current state is assessed comprehensively in around 3 parts —

  • Data Science foundation
  • Data Science Usage
  • Data Science environment

Data Science Foundation

An organization with an excellent foundation ensures quick access to data and its conversion into actionable insights. Foundation assessment is performed on the following attributes:

  • Digital Application Integrations
  • Workflows Data Availability
  • Data Metrics Used
  • Quality Data Storage
  • Technology (BI, AI/ML)
  • Skills (BI, AI/ML) Infrastructure
Data Science Usage

An organization that is at the higher end of the value chain and uses AI/ML for most of its processes would be categorized as high usage. Usage assessment is performed on the following attributes, and the outcome may differ for different business functions across organizations:

  • Digital Application Integrations
  • Workflows Data Availability
  • Data Metrics Used
  • Quality Data Storage
  • Technology (BI, AI/ML)
  • Skills (BI, AI/ML) Infrastructure
Data Science Environment

An organization that has adopted data-centric decision-making and has processes to support the exchange of data in a secured environment is likely to face fewer data thefts and information leakage. Environment assessment is performed on the following attributes:

  • Data Governance
  • Collaboration Across Organizations
  • Culture
What is the Outcome of Assessments?

Based on the assessment, your business unit or organization can be categorized as one of the following:

  • Explorer: Organizations that have recently started their journey and are still identifying the right systems and processes to adopt AI.
  • Users: Organizations with a strong foundation in terms of infrastructure and processes in a few business units, leveraging AI.
  • Leaders: Organizations with a strong foundation in terms of infrastructure and processes throughout the organization; have adopted the latest tools and techniques available.
  • Innovators: Organizations with an excellent foundation and environment throughout the organization. Have processes and systems to drive continuous innovation in AI in the industry.
Home
About
Blogs