The MCE team offers a wide range of service expertise and an acute ability to solve complex data and technology problems in harmony with the needs of your business. Whether you have major initiatives that need ownership and guidance or you have a small project that needs management and oversight, MCE has the expertise you need. With deep knowledge in the data, Martech, Adtech and Salestech space, MCE is the “Swiss Army knife” of technology consulting and project solutions providers. MCE’s range of services includes:
Leadership, Management & Operations
Program & Project Management
- Cross-functional program management of technology implementations, platform migrations and organizational initiatives.
- Client facing initiatives including product migrations and new customer implementations that have complex data requirements.
- Technical and organizational integrations related to mergers & acquisition (“M&A”) activity.
- Interim CXO leadership and change management.
Sales & Marketing
- Market and competitive analysis.
- Go-to-market design and development, including pricing strategies.
- Sales, account management and business development commission plans and strategies.
- Partner and business development.
Finance & Operations
- Market analysis, strategy and business plan development (including financial modeling and scenario analysis).
- Budgeting, budget analysis, costing, KPIs, and key business metrics.
- M&A and due diligence preparation and support (buy side and sell side).
Product Management & Development
- Market research, product feasibility, business justification and product-market fit analysis for both new and existing products.
- Business requirements, use case development, technical specifications and user story development for product development initiatives.
- Product roadmap assessment and analysis.
- Design and implementation of an innovative product development organization and alignment of people and processes around the product lifecycle.
- Product management and product development process assessment and analysis.
Data & Data Sciences
- Development of machine learning/AI methods, analysis and practices that support product innovation and business process efficiency goals.
- Development of predictive analytics methods and approaches that leverage modern machine learning principles and practices.
- Development and implementation of data science disciplines and methodologies.
- Data systems, data use and inventory assessment and analysis as well as project-based data and business analysis.
- Data sourcing and data product development.
