Data Analytics | Pricefx Knowledge Base

Series of questions to identify the level of data harmonization and synchronization within an organization. The higher this value, then the greater the data maturity.

CONSENSUS TYPE	CHARACTERISTIC	QUESTIONS
Data Insights	Defining	Can you provide a short description of the data insights used within your organization? Would you describe it as Above Average, Average, Below Average, or Poor? Are data insights on critical data deemed important? Who drives data insight management in the organization? What data is being used during these processes?
	Process	How would you describe the process for building data insights? Is it driven top-down or bottom-up? Advantages & Disadvantages of the approach? How has this concept been embraced by the organization? If not, why? How are issues or data problems resolved? Do we do regular assessments to find gaps in our data insight processes? How do we determine the effectiveness of our data insights? What measures are used? How do we trace and fix problems in this process? Would you describe the controls on your data insights as Strict, About Right, Needs Work, or Too Lax?
	Ownership	Who owns and controls data insight processes? Is it singular or multiple owners? Is this good or bad? Do you consider it centralized or decentralized? Who is responsible for maintaining data insights? How does the owner verify these data insight processes are adding value? How do we know? Who maintains your data insights processes?
	Implementation	How are your data insights updated? Who manages the changes? What data insight controls are in place during enterprise integration? How is the data insight process validated? Who does this? Is this an automated process? Manual? When and by who are data insights created?
Enterprise-Level	Existence	Can you provide a short description of the enterprise-level analytics used within your organization? Would you describe it as Above Average, Average, Below Average, or Poor? Are enterprise-level analytics on critical data deemed important? Who drives the management enterprise-level analyti
	Ownership	Who owns and controls enterprise-level analytical processes? Is it singular or multiple owners? Is this good or bad? Do you consider it centralized or decentralized? Who is responsible for maintaining enterprise-level analytical insights? How does the owner verify these processes are adding value? How do we know?
	Procedures	How are your enterprise-level analytics updated? Who manages the changes? What controls are in place during enterprise analytics? How is the enterprise-level analytics process validated? Who does this? Is this an automated process? Manual? When and by who are enterprise-level analytics created?
	Implementation	How would you describe the process for building enterprise-level analytics? Is it driven top-down or bottom-up? Advantages & Disadvantages of the approach? How has this concept been embraced by the organization? If not, why? How are issues or data problems resolved? Do we do regular assessments to find gaps in our enterprise-level analytics processes? How do we determine the effectiveness of our enterprise analytics? What measures are used? § How do we trace and fix problems in this process? § Would you describe the controls on your enterprise-level analytics as Strict, About Right, Needs Work, or Too Lax?
Pricing Analytics	Existence	Can you provide a short description of the pricing analytics used within your organization? Would you describe it as Above Average, Average, Below Average, or Poor? Are pricing analytics on critical data deemed important? Who drives the management pricing analytics in the organization? What data is being used during these processes?
	Process	How would you describe the process for building pricing analytics? Is it driven top-down or bottom-up? Advantages & Disadvantages of the approach? How has this concept been embraced by the organization? If not, why? How are issues or data problems resolved? Do we do regular assessments to find gaps in our pricing analytics processes? How do we determine the effectiveness of our pricing analytics? What measures are used? How do we trace and fix problems in this process? Would you describe the controls on your pricing analytics as Strict, About Right, Needs Work, or Too Lax?
	Utilization	How is your pricing analytics updated? Who manages the changes? What controls are in place during pricing analytics? How is the pricing analytics process validated? Who does this? Is this an automated process? Manual? When and by who are pricing analytics created?
	Ownership	Who owns and controls pricing analytical processes? Is it singular or multiple owners? Is this good or bad? Do you consider it centralized or decentralized? Who is responsible for maintaining pricing analytical insights? How does the owner verify these processes are adding value? How do we know?