The uses
Meta Analysis is a cross-functional solution, which is useful for several people. Here are a few examples.
Cost controller
Gain reliability on your data!
You are in charge of analyzing your company’s results and disseminating them. The questions: Which CA? What margin? Who is in charge of the management rule?
Guarantee the uniqueness of the indicators
Understand the source and flow of your data to corporate reporting
Share and validate your management rules
Reference your KPI
Use the indicators validated in the Excel documents of the organization and the financial department
Chief Data Officer
Switch to Data Driven mode!
You are in charge of the overall consistency of the DATA and its uses.
The questions: What heritage? What is their value? Who are the users?
Set up data, cloud and on-premises governance
Manage a collaborative tool to share knowledge of your business
Identify sources of progress and inconsistencies in your Data
Adopt a data quality management strategy
Marketing Director
Switch to Data Quality mode!
You handle the potential of data for marketing operations.
The questions: Which data? What quality to optimize costs and impacts?
Adopt a data quality management strategy
Identify your customer data
Set up the quality process for the data important to you
Make your marketing campaigns profitable
Data Protection Officer
Go from reactive to proactive!
You must ensure compliance with the use of personal data.
The questions: What is personal data? Where are they stored in my IS?
Follow the phases of your GDPR project
Identify personal data and give it a degree of risk
Save the actions carried out and the elements of the PIA (Privacy Impact Analysis)
Enter the processing of personal data
Validate categories and link categories to personal data
BI Manager
Go from the data seeker to the Data Driver!
You are the guarantor of BI solutions access in your organization.
The questions: What does this indicator mean? What is the consistency between BI solutions?
Determine the impacts on your IS of a change in management rule requested by users
Anticipate reporting changes
Highlight sensitive data
Work closely with users by following the evolution of their functional requests
Identify inconsistencies in BI solutions, DataViz solutions…
Data Scientist
Make it easier by going from Data Miner to Data Scientist!
You are in charge of developing the data for a business.
The question: Where is the data for my analysis?
Identify new data from Big Data
Search in your applications to reference key data
Understand the impacts and interactions between Data
Understand the impacts and interactions between Data
Want to know more about Meta Analysis?
Attend one of our seminars or webinars.