Evaluate Adoption of Digital Technologies in your Business

Artificial Intelligence, Analytics, Machine Learning, Cloud and other digital technologies – in which rely on algorithms to organise information from numerous sources. These processes become more accurate as they process more data. Following assessment examines the state of Artificial Intelligence, Analytics, Machine Learning and other digital technologies deployments in organization. Answer the 12 questions below and you’ll receive our customized set of Expert Guidelines based on your responses as well as our suggestions on how to improve your comfort level in adoption of Digital Technologies.

Our approach to Business Analytics is a scientific process of transforming data into insight for making better, accurate decisions. Business Analytics is use of information from different sources, application of Information Technology coupled with statistical analysis, quantitative methods and mathematical modeling – to gain improved insight about business operations.

  1. For how long has your organization had Artificial Intelligence, Analytics, Machine Learning and other digital technologies deployed?
  • More than three years
  • One to three years
  • Plan to begin using soon
  • Do not plan to use

 

  1. Are you satisfied with the results of your organization’s Artificial Intelligence, Analytics, Machine Learning and other digital technologies deployments?
  • Satisfied
  • Neither satisfied nor not satisfied
  • Not satisfied

 

  1. Which department or function within your organization makes the most use or plans to make the most use of Artificial Intelligence, Analytics, Machine Learning and other digital technologies?
  • Accounting, Finances
  • Customer service
  • E-commerce
  • Human resources and Talent Management
  • Information Technology and ITES
  • Sales, Marketing, Brand Promotion
  • Manufacturing
  • Product management, Quality Assurance
  • Supply chain, logistics, inventory management
  • Research and development, Innovation
  • Higher management and executive level

 

  1. Which of the following operational data sources does your organization use or plan to use in its Artificial Intelligence, Analytics, Machine Learning and other digital technologies analyses?
  • Customer, business transactions data
  • Financial data
  • Manufacturing and supply chain data
  • Products and services
  • Sales and marketing data
  • Employee or worker data
  • IT systems

 

  1. Which of these types of external data source is most important to your organization’s use or planned use of Artificial Intelligence, Analytics, Machine Learning and other digital technologies?
  • Reports published relevant to your industry
  • Data brokers (e.g., Third party data vendors, Acxiom, DataSift, Experian)
  • Government sources
  • Location sources (e.g., Google Maps)
  • Market sources
  • Social media (Instagram, Facebook, LinkedIn, Twitter)
  • Weather and environmental sources

 

  1. In which of the following activities does your organization apply or plan to apply Artificial Intelligence, Analytics, Machine Learning and other digital technologies algorithms?
  • Customer service or support recommendations
  • Forecasting (e.g., revenue, sales, production, market conditions, weather)
  • Fraud detection or cybersecurity
  • Workplace Safety, Healthcare decisions
  • Intelligence or surveillance analysis
  • Logistics, inventory analysis
  • Sales and Marketing analysis (e.g., attrition, segmentation, lifetime value)
  • Predicting mechanical failures
  • Predicting prices in the supply chain
  • Predicting product development life cycles
  • Promotional campaigns
  • Scientific or clinical research
  • Social network analysis
  • Talent management, workforce utilization and optimization

 

  1. Which of the following data science resources does your organization use or plan to use to create and apply Artificial Intelligence, Analytics, Machine Learning and other digital technologies algorithms?
  • Centralized resources consisting of full-time employees
  • Line-of-business resources consisting of full-time employees
  • Consulting resources contracted by a centralized function (e.g., center of excellence, shared services, IT group)
  • Consulting resources contracted by line-of-business functions
  • We apply no data science resources to Artificial Intelligence, Analytics, Machine Learning and other digital technologies algorithms.

 

  1. How do you assess the level of expertise in your organization for applying Artificial Intelligence, Analytics, Machine Learning and other digital technologies as part of its analytic processes?
  • Expert
  • Knowledgeable
  • Limited knowledge
  • No knowledge

 

  1. Does your organization plan to change its use of Artificial Intelligence, Analytics, Machine Learning and other digital technologies in the future?
  • We plan to increase our use of Artificial Intelligence, Analytics, Machine Learning and other digital technologies.
  • Our use of Artificial Intelligence, Analytics, Machine Learning and other digital technologies will remain the same.
  • We plan to decrease our use of Artificial Intelligence, Analytics, Machine Learning and other digital technologies.
  • I don’t know.

 

  1. Which of the following is the most significant benefit your organization has realized or expects to realize from its application of Artificial Intelligence, Analytics, Machine Learning and other digital technologies?
  • Gained competitive advantage
  • Improved customer experience
  • Increased sales
  • Lowered costs
  • Reduced errors and mistakes in business
  • Responded faster to opportunities and threats

 

  1. Which of the following is the most significant challenge in applying Artificial Intelligence, Analytics, Machine Learning and other digital technologies to your analytic processes?
  • Accessing and preparing data for analyses
  • Algorithms inappropriate for our uses
  • Hard to build and maintain
  • Limited budget
  • Not enough skilled resources
  • Deploying the results in operational systems

 

  1. In which of the following ways would your organization prefer to acquire or implement Artificial Intelligence, Analytics, Machine Learning and other digital technologies capabilities?
  • Acquire applications with embedded Artificial Intelligence, Analytics, Machine Learning and other digital technologies
  • Acquire business intelligence or analytic tools that support Artificial Intelligence, Analytics, Machine Learning and other digital technologies
  • Develop custom code to embed in our analytical systems
  • Use third-party consultants to implement Artificial Intelligence, Analytics, Machine Learning and other digital technologies for us