Enabling real time monitoring of performance for a
FTSE 100 bank

Our client, a global FTSE 100 consumer and wholesale bank, was facing significant challenges in capturing engineering asset data across its list of global critical buildings.

To consolidate, analyse and automate the client’s engineering asset data to enable an accurate view of performance and risks, and allow remote teams across the world to input into and view the system.


  • A lot of the existing data was either incorrect, incomplete or incoherent.
  • Definitions and metrics used to measure the performance of engineering assets were inconsistent.
  • As a result, the engineering team was unable to accurately monitor performance or advise CRES senior management of the risk posed to any of the bank’s critical front-line services.


  • Collection and analysis of all existing engineering data for critical buildings.
  • Gap analysis completed with regional teams and global leadership team.
  • Working with regional teams to produce a consistent template for capturing all engineering data for all buildings.
  • Aggregation of completed data for further gap analysis and identification of urgent issues.
  • Design and build of online tool to capture all engineering data, for use by regional teams and global leadership team.


Consolidation and analysis of all data
Definition of key metrics
Implementation of online data capture tool
Dedicated analytics dashboard
contract value


Leverage actionable insight:

A dedicated analytics dashboard that
reads all of the engineering data
and allows global leadership teams
to identify regional, business unit
and time-based trends.

Improve decision making:

The introduction of a set of agreed
definitions and metrics ensures that
all engineering assets in all critical
buildings are being measured in the
same way, ensuring a reliable, single
source view of performance – and
reducing conflicts in understanding
and interpreting the data.

Increase speed to market:

By putting the tool online in a
user-friendly format, end-users can
access the tool, input data and
identify problem areas much faster
than before.