
Data Advisory & Change
Data strategy for national rail operator
Data strategy development for a National Rail operator, targeting streamlined data collection and processing.
See examples across our three core solutions.
Data strategy development for a National Rail operator, targeting streamlined data collection and processing.
Sustainable, data-driven insights driving improved profitability and optimisation of marketing for a UK restaurant operator, delivered via a bespoke, live MI tool.
Enabled informed business planning based on deep, accurate insight by building a bespoke MI and reporting tool, and reducing report creation time from 100 hours to 100 seconds.
Delivered rapid profitability and utilisation reporting to support visibility and alignment on Board report metrics for PE-owned software business.
Defined priority data use cases and built a proof of concept visualisation tool for a youth disability and sports charity, informed by a business-wide data and systems review.
Delivery of a systems and process assessment for a Recruitment Consultancy, with solutions and prioritisation to help steer the changes required.
Unconnected systems required time consuming, manual intervention to generate useful MI
Manual processes and antiquated systems were leading to repetition and inaccurate data
Non-standardised processes were resulting in lack of governance and heightened risk
Conduct a detailed assessment of internal systems and improvement opportunities
Develop a scalable systems and data management strategy to support minimisation of risk as the business grows
Supported operational changes through establishing a comprehensive understanding of existing data, systems and processes
Set out a roadmap to ensure the business could continue to make informed strategic decisions based on accurate and reliable data and insight
Targeted profitability and promotions analysis for a European discount retailer to drive the development of a data-led promotions strategy.
Identification and analysis of the key drivers of employee value for a UK Law Firm, enabling a targeted recruitment strategy and billings forecasting.
A UK-based law firm was looking to better measure the value of their employees, in order to:
Build a tailored recruitment strategy targeting high value prospective employees
Identify opportunities for value-growth in the existing employee base
Bring together data from a range of internal systems, creating a single source of truth for employee characteristics
Define and calculate the lifetime value of every lawyer, including forecasted value for all active employees
Conduct regression analysis to identify the key features driving employee value
Provided insight on existing employee value across the firm, including by sector and specialism
Informed targeted recruitment and onboarding strategies to attract and retain high value lawyers
A rapid, targeted “social listening” exercise to support a global education provider in identifying and addressing client concerns.
How our work applies to the private equity lifecycle
One-off enrichment of target company information making use of existing datasets and scraping additional data sources.
Achieving an ongoing view of target company information through automated alternative data enrichment
Identifying further targets at pace through leveraging alternative data and bespoke data scraping.
Quickly turn messy data from data room into interactive dashboard answering key diligence questions
Scrape externally available data sources to evaluate customer perception and highlight growth opportunities
Rapidly develop tools to enable real-time monitoring of existing KPIs and tracking performance against VCP
Map out existing data landscape and identify quick win initiatives to deliver initial VCP
Enhancement of existing KPI tracking & creation of additional MI to drive deeper insight into key decision areas
Using data to support decision making, including: Predictive modelling Customer Lifetime Value
Achieves strategic objectives through establishing and delivering data roadmap
Use Machine Learning techniques to evaluate and re-position company performance
Quantify size of market & CRM headroom available for future expansion ahead of exit process