The average business utilises around fifty different tech products each day. Information has to bounce from mobiles to laptops to software, not to mention stakeholders and decision makers. For most, these are seldom connected or directly compatible with one another, and naturally productivity suffers as a result.
The term is economy; not just the literal sense, but equally spanning economies of scale, process efficiency and commercial viability. As increasing levels of data and systems come into play, we need new processes and data management procedures too. This begs the question; when does it all become too much?
Each data transaction within a workflow also has to be able to preserve integrity of data across all of its relevant modules, which isn’t possible if systems can’t communicate or share data through a central hub.
What is required here is the ability to integrate platforms so that we can retrieve, collate and translate data to be pushed from a central repository and satisfy queries on demand. Looking at the issue, we’ve identified five “C’s” which demonstrate the value of investing in a digital integration process to cover the whole of life of an asset.
Rising demands on infrastructure and resources which are determining what technologies and processes building owners choose to implement, where possible supporting targets for environmental and financial viability, creating a greater need for the ability to make effective decisions informed by a singular overview.
Currently, there is almost no compatibility between disparate systems, which robs the ability to clearly represent data from the entire ecosystem.
Data now becomes the core factor in this equation. We generate an Everest of information each day within disparate systems, software and data languages. There is almost no central process to validate data in an efficient manner, worsened by the risk of human error.
Integration platforms simplify this data flow between systems, creating a central space for all data which can push specific information to whichever system needs it.
The system roadmap for an integration platform is unique and dynamic. As a common example, an organisation might use one platform for finance and invoicing, another for managing repots and client accounts, and a third for project files.
Data is spread across each of these areas without resolution, something we recognised as a major flaw, which is why we developed our in-house integration platform to integrate data from end-to-end.
Our method is designed to pull data into platform, process according to the client’s requirements, and be able to push the resulting information in response to any query from a designated reporting system like Infinity, our online reporting and management platform.
Sustainable operations and conservation of resources are integral to effective business management and decision making, supported by creating a singular workflow aided by automated processes. A study in the Stanford Social Innovation Review found that 90% of CEOs today state sustainability as a “fundamental” element in overall business success.
This impact is not lost on facility and operations managers either, with 66% willing to spend more for integration technologies which increase their environmental performance given the Return on Investment.
This introduces a new question; how will they track it? Part of effective conservation is the ability to make informed decisions, especially once performance targets and indices are involved. Facility Managers and Property Owners usually don’t have a cohesive model that can compare data side by side.
Usually, this involves trawling through multiple data sets and platforms to reach a single understanding. An integration platform on the other hand is designed to remove this process entirely by tying systems together to build relationships between data sets.
Disparate modules, systems and data breed inefficient operations and poor decision making, driving costs and preventing optimisation. Time can be saved immediately through a data integration layer as we’ve already discussed and reveal insights which might otherwise have been overlooked.
Predictive analytics emphasise this effect at a high-level, demonstrating the full value of your Intellectual Property and a greater ability to leverage greater returns and efficiencies.
Regrettably the rush for analytical capability has caused too many to implement tools without first ensuring a consistent level of data quality. It is clearly better to automate Quality Assurance and verification processes in your integrated platform at the start, which can then use qualified data to build readily deployable predictive models.
More effective management also means lower operating costs and maintenance, as we share data to optimise building performance and resource consumption. Each of these factors, coupled with the smart building technologies which enable them, reduce initial capital outlay and enable higher returns on investment.
The market is currently reflecting on the idea of Commercial RE’s developing proprietary software versus aligning with companies who can utilise a base integration platform, and develop to their requirements. A platform which only satisfies their current software, infrastructure and work demands leaves little to no room for expansion or modernisation, at least not in a straightforward way when it comes to interfacing new resources with old.
Market trends also reflect this shift as fewer CRE’s or large asset owners look to build new software which inevitably becomes more expensive and difficult to maintain.
Hendry have deployed our in-house integration platform to streamline operations and data management for the built-form. Together with our clients, we’ve been driving greater efficiency and sustainability to create value at each level of the value chain.
We’d like to make your processes smarter, and so would you. Send us an email at firstname.lastname@example.org or call us on 1800 875 371. Let’s modernise the way you work with data in the built-form.