PTS Partners LLC
PTS Partners LLC
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    • Fractional CDO
    • Data Strategy
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    • Home
    • About
    • Services
      • Fractional CDO
      • Data Strategy
      • Data Enablement
      • Assuring Program Success
      • Culture Transformation
    • Client Case Studies
    • Contact Us
  • Home
  • About
  • Services
    • Fractional CDO
    • Data Strategy
    • Data Enablement
    • Assuring Program Success
    • Culture Transformation
  • Client Case Studies
  • Contact Us

Data Strategy

Becoming a data driven enterprise requires a few things to be present

  • Deeper customer understanding – by building detailed profiles of customer needs, relationships, wants, external trends and internal behavioral trends, then using that intelligence to design or adjust strategies, product offerings, supply chain processes, improve customer experiences and ultimately company performance 
  • Reimagined processes – identifying ineffective processes and replace them with new ones created by analyzing insights of customer, vendor and employee needs and preferences 
  • New opportunities – spotting new trends, opportunities and potential threats and using that knowledge to adjust strategic direction, shift priorities and even enter new markets 


Becoming a data driven organization is a journey that requires close alignment with executive goals, objectives and the analytical processes needed to achieve those goals, the business, organizational and data governance processes to support them and the technology capabilities to execute them.  

  

PTS Partners understands companies have different levels of maturity and knowledge of becoming a data driven enterprise. Therefore, we provide a crawl, walk, run approach to getting started on their journey.

Click on the button below to see how our services can help you in becoming a data driven enterprise.


Data Strategy Readiness Assessment


Data Strategy and Roadmap Engagement

Find out more

Data Strategy Readiness Assessment

Business Problem and Purpose

Business Problem and Purpose

Business Problem and Purpose

   Data driven decision making is difficult to achieve for various reasons. 

  • Lack of a strategy and execution plan 
  • No clear data transformation vision 
  • Business goals and objectives not clearly understood or communicated 
  • Path to embrace AI and analytics processes are unclear 
  • Risk and mitigation plan not clearly outlined  


A high-value, minimum investment pre-strategy project that produces a clear understanding of the business opportunity and value of becoming a data driven organization before continuing with the
data and analytics strategy and roadmap.

Benefits

Business Problem and Purpose

Business Problem and Purpose

  • Business alignment on the direction of AI and analytics amongst business and IT leaders
  • Clear line of sight to the analytic outcomes that will deliver the business value
  • Equal understanding of the possibilities, value and risk of going on the data driven journey
  • Readiness assessment and mitigation plan that provides fact-based insight into what must be done before starting the journey
  • The analytical processes to achieve the goal
  • The business, organizational and data governance processes to support them
  • The technology architecture and plan to execute them

Root Causes of Ready/Not Ready Analysis

Root Causes of Ready/Not Ready Analysis

Root Causes of Ready/Not Ready Analysis

Realistic Understanding of Readiness

Root Causes of Ready/Not Ready Analysis

Root Causes of Ready/Not Ready Analysis

Data Strategy and Roadmap Engagement

Business Problem and Purpose

Business Problem and Purpose

Business Problem and Purpose

Data driven decision making is difficult to achieve for various reasons. 

  • Lack of a strategy and execution plan 
  • No clear data transformation vision 
  • Business goals and objectives not clearly understood or communicated 
  • Path to embrace AI and analytics processes are unclear 
  • Risk and mitigation plan not clearly outlined 


The purpose of this engagement is to:

  • Improve the operational effectiveness of the investments 
  • Understand the investments impact on the organization’s corporate objectives
  • Create a direct correlation between making the investments and effecting company performance 
  • Have a repeatable, data driven process to make fact-based decisions  

Benefits

Business Problem and Purpose

Business Problem and Purpose

  

  • Business alignment on the direction of AI and analytics amongst business and IT leaders
  • Clear line of sight to the analytic outcomes that will deliver the business value
  • Equal understanding of the possibilities, value and risk of going on the data driven journey
  • Readiness assessment and mitigation plan that provides fact-based insight into what must be done before starting the journey

Risk to Value Analysis

Risk to Value Analysis

Risk to Value Analysis

Roadmap

Risk to Value Analysis

Risk to Value Analysis

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