Digital transformation

Transform outmoded resources and processes with bespoke technology and strategy to realise the benefits of digitalisation and automation across the organisation.

Digital transformation

Transform outmoded resources and processes with bespoke technology and strategy to realise the benefits of digitalisation and automation across the organisation.

Existing and legacy technology systems and vendor solutions are often ineffective, costly and offer undefinable value.

In buildings, portfolios and energy systems, data is rationalised and segregated to individual data functions:

Building Management Control Systems,

Operational systems,

Finance and billing,

External supplier systems.

Each system adds to operational cost, increases complexity and reduces effectiveness

Many and varied technology systems commonly result in:

Increased costs; many analytics platforms, subscriptions, and maintenance agreements.

Data duplication; multiple versions of data exist with variations that confounds analysis between departments and systems.

Data silos; multiple databases each with differing characteristics, formats, types and protocols.

Data silos lead to interoperability issues; tedious and time-consuming manual searches, requests for information, aggregation and analysis tasks that limit efficiencies and add to organisational costs.

Existing and legacy technology systems and vendor solutions are often ineffective, costly and offer undefinable value.

In buildings, portfolios and energy systems, data is rationalised and segregated to individual data functions:

Building Management Control Systems,

Operational systems,

Finance and billing,

External supplier systems.

Each system adds to operational cost, increases complexity and reduces effectiveness

Many and varied technology systems commonly result in:

Increased costs; many analytics platforms, subscriptions, and maintenance agreements.

Data duplication; multiple versions of data exist with variations that confounds analysis between departments and systems.

Data silos; multiple databases each with differing characteristics, formats, types and protocols.

Data silos lead to interoperability issues; tedious and time-consuming manual searches, requests for information, aggregation and analysis tasks that limit efficiencies and add to organisational costs.

Ensure that every stage of the technology ecosystem is necessary and is providing value

We reverse engineer system requirements from outcomes to rationalise key systems, realise efficiencies and direct cost savings by:

Flagging data duplication,

Identifying redundant program features, and

Auditing vendor solutions and agreements.

Ensure that every stage of the technology ecosystem is necessary and is providing value

We reverse engineer system requirements from outcomes to rationalise key systems, realise efficiencies and direct cost savings by:

Flagging data duplication,

Identifying redundant program features, and

Auditing vendor solutions and agreements.

Adopt best-of-breed, proven technology solutions

 Our solutions are resilient to change and minimise risk by:

Sourcing standardised and open-source technology where available.

Apply domain expertise that bridges operational technology to information technology.

Architecting integrated data solutions that break down silos and provide a single-source-of-truth where feasible.

We de-risk technology adoption and minimise disruption by implementing a staged piece-meal approach by single application, building or department to entire portfolio, grid or network.

Adopt best-of-breed, proven technology solutions

 Our solutions are resilient to change and minimise risk by:

Sourcing standardised and open-source technology where available.

Apply domain expertise that bridges operational technology to information technology.

Architecting integrated data solutions that break down silos and provide a single-source-of-truth where feasible.

We de-risk technology adoption and minimise disruption by implementing a staged piece-meal approach by single application, building or department to entire portfolio, grid or network.

Vicinity Centres case study

The Environmental Data System we developed for Vicinity Centres eliminated over 400k per annum in redundant operational technology, systems and vendor solutions. This allowed the company to rationalise its key data systems, supporting IT infrastructure; databases and servers, cut operating costs by automating manual data collection, entry and consolidation tasks, and enabled advanced analytic programs and applications to be run across the organisation’s extensive energy and environmental datasets.

Find out more

Download the info sheet and discover how we can modernise and democratise your organisations operational data ecosystem.

Vicinity Centres case study

The Environmental Data System we developed for Vicinity Centres eliminated over 400k per annum in redundant operational technology, systems and vendor solutions. This allowed the company to rationalise its key data systems, supporting IT infrastructure; databases and servers, cut operating costs by automating manual data collection, entry and consolidation tasks, and enabled advanced analytic programs and applications to be run across the organisation’s extensive energy and environmental datasets.

Find out more

Download the info sheet and discover how we can modernise and democratise your organisations operational data ecosystem.