Services

Comprehensive Data Monetization Services by Monetize AE

Overview

Monetize AE is committed to transforming your data into a strategic asset that drives business value. Leveraging advanced analytics and industry best practices, our solutions are meticulously designed to optimize your data’s performance, thereby enabling informed investment decisions and the achievement of strategic objectives.

Our Services

Data Diagnostic:

Objective :

To provide a granular assessment of your data management landscape, identifying areas that require immediate attention and long-term strategy.

Methodology :

Over a 6-week period, we conduct a thorough analysis of thousands of data points across seven critical dimensions: Data Strategy and Value Management, Governance, Architecture, Data Management, Data Quality Management, Data Technology Architecture, and Data Usage. This involves deploying machine learning algorithms and statistical models to assess data maturity.

Outcome :

A comprehensive dashboard is generated, offering multi-dimensional views—geographic, business unit, and functional levels—of your organization's data maturity. This enables you to focus your resources effectively.

Best Practices :

Adherence to data governance standards as recommended by Deloitte.

View Deloitte

Data Valuation :

Objective :

To quantify the monetary value of your data assets, thereby transforming data from a cost center to a strategic asset.

Methodology :

We employ a multi-faceted approach that starts by identifying all stakeholder activities that drive value. We then measure the data dependency of each activity using machine learning algorithms and advanced analytics.

Outcome :

A detailed valuation report is generated, providing a monetary value for each data asset. This enables you to compare ROI in data against other investments like infrastructure.

Best Practices :

Utilization of data valuation models as endorsed by EY.

View EY

Data Condition Assessment :

Objective :

To evaluate the fitness of your data for its intended business use, identifying gaps and areas for improvement.

Methodology :

Our proprietary framework assesses the quality and condition of your data assets, focusing on their alignment with business objectives and KPIs.

Outcome :

A root cause analysis report is produced, pinpointing the issues affecting data performance and offering a roadmap for improvement.

Best Practices :

Alignment with data quality frameworks as suggested by PwC.

View PwC

Remediation Plan :

Objective :

To offer a detailed, fully costed action plan aimed at improving your data assets.

Methodology :

Building on the Data Condition Assessment, we develop a costed plan that outlines the steps needed to improve each data asset. This involves a collaborative approach with your data teams to ensure internal capabilities are enhanced.

Outcome :

A blueprint for data improvement, complete with cost estimates and timelines, enabling you to make a compelling business case for investment.

Best Practices :

Adherence to data remediation guidelines as recommended by KPMG .

View KPMG

Assurance Reporting :

Objective :

To offer evidence-based reporting that validates the value delivered through effective data management.

Methodology :

We consolidate outputs from the diagnostic, valuation, and condition assessments, supplementing them with stakeholder interviews to gauge business assurance needs.

Outcome :

A comprehensive assurance report that validates your data management efforts and helps in securing additional resources for future projects.

Best Practices :

Adherence to data reporting standards as recommended by EY.

View EY

Project Prioritization Tool :

Objective :

To provide a structured approach to managing multiple data projects, ensuring optimal resource allocation and project success.

Methodology :

Our tool employs a stage-gated process for capturing and assessing projects, reducing duplication and ensuring that projects are neither under-costed nor under-estimated.

Outcome :

An organization-wide project pipeline view that shows how projects connect to data assets, business objectives, and stakeholder needs, thereby aiding in informed decision-making.

Best Practices :

Utilization of project management methodologies as endorsed by Deloitte.

View Deloitte

Summary :

Monetize AE offers an extensive suite of six data monetization services, each meticulously designed to address specific challenges in data management and optimization. These services are backed by industry best practices and provide actionable insights and strategies for maximizing the value of your data assets.

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Services

Comprehensive Data Monetization Services by Monetize AE

Overview

Our Services

Data Diagnostic:

Objective :

Methodology :

Outcome :

Best Practices :

Data Valuation :

Objective :

Methodology :

Outcome :

Best Practices :

Data Condition Assessment :

Objective :

Methodology :

Outcome :

Best Practices :

Remediation Plan :

Objective :

Methodology :

Outcome :

Best Practices :

Assurance Reporting :

Objective :

Methodology :

Outcome :

Best Practices :

Project Prioritization Tool :

Objective :

Methodology :

Outcome :

Best Practices :

Summary :

Would you like to discuss the customization or implementation of any of these services for your organization?

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