BUILD AN OFFSHORE DATA ANALYTICS TEAM
Multiply your enterprise value by building high performing offshore data analytics teams
Get ready to unlock the full potential of your business by leveraging offshore data analytics teams.
Watch the below on-demand exclusive webinar designed to help you exponentially grow your enterprise value.
Learn how Evora, a global ESG consulting platform solved their data challenge with a high performing Romanian team.
Unlock the full potential of your business by leveraging offshore data analytics teams
Get an inside look at how offshore data analytics teams have multiplied exit valuations, leading to significant returns on investment and future growth opportunities.
Multiplying Enterprise Value
Find out how EnergyQuote JHA expanded their data analytics team to unlock 20 out of 30 days for more strategic activities
Solving Data Challenges
Learn how Evora, a global ESG consulting platform solved their data challenge with a high performing Romanian team.
Develop an Effective Capability Plan
Find out what are the key components of a successful capability plan that delivers results
Risk Management
Learn how to assess and navigate the risks associated with offshoring
What can you expect by speaking with an offshoring strategist?
-
Essential data capabilities and how to structure them
-
What comes first people, process or architecture?
-
How to scale a data team without breaking it?
-
Insource or outsource data capabilities?
-
How to integrate the data and tech team structures
-
How can an offshore data team transform onshore team performance
-
How to solve the data career path challenge?
-
The barriers to data team performance and how to overcome them
Learn How A New Cape Town Team Drives Extraordinary Efficiency Improvements for Renowned Global Strategic Research Leader
Get an inside look at how offshore data analytics teams have multiplied exit valuations, leading to significant returns on investment and future growth opportunities.
CHARLES FENTON
Founder and Director of Potentiam, is a dynamic force in the world of offshoring solutions for SMEs. With a proven track record as the founder of an energy analytics company acquired by Accenture, Charles now dedicates his expertise to helping SMEs build offshore teams that elevate their enterprise value and fuel business growth at an unprecedented scale. Join Charles on this transformative journey towards scaling success.
Need Clarification?
Who is this for?
Offshoring for data analytics is for organisations who have a need to build a data processing and data insights component, but don't necessarily have the funding to acquire this function.
What are the key steps to building a high-performance data analytics team?
The key steps are:
- Understand the business vision and objectives, and align the data analytics goals with these.
- Assess your current analytics capabilities - people, processes, technologies.
- Identify capability gaps to reach your vision. Consider data architecture, analytics models, reporting.
- Build a capability plan - organization structure, roles, implementation plan. Start with a pilot.
- Specialize roles over time as you scale up. Leverage offshore for cost savings.
Can I speak to a specialist about offshoring right now?
Yes, absolutely! Please click here to book some time with an Offshoring Strategist
How do I build the business case for investing in data analytics?
Quantify the costs of new data sets, technologies, and resources. Offset this against the benefits - new revenue opportunities from monetizing data, cost savings from optimizing operations, productivity gains. Build the ROI case.
What are the stages of analytics maturity for a team?
Teams evolve through basic reporting → standardized models/dashboards → predictive analytics → prescriptive analytics. Assess your current and target stage.
Should we build an in-house analytics team or outsource?
In the early stages, outsourcing provides flexibility. As you scale, bring key roles like data engineering in-house but leverage offshore for cost savings. Specialize roles over time.
How do I provide a career path for junior analytics staff?
Set clear requirements and growth paths within specialities e.g. data engineering vs analysts. Manage expectations - transitions between roles may require certifications and experience.
What technologies do I need for advanced analytics capabilities?
You need a data pipeline architecture - data sources, ETL, data warehouse, analytics models, reporting tools. As you advance, add capabilities like predictive modeling, forecasting, anomaly detection.
How do I integrate my existing tech team with a new analytics team?
Include members from both teams in relevant projects. Have tech leads participate in key analytics planning discussions. Develop processes for cross-team collaboration.
Can we scale our analytics team without high turnover?
Implement specialized roles rather than generalists to provide career growth. Develop strong processes and documentation. Automate repetitive tasks. Focus on inclusion and knowledge sharing.
