As construction and operational industries move towards digital built assets, organisations are only slowly recognising the value of data they gather or process. It can offer to improve delivery efficiency, quality and opportunity for additional services. As part of our strategic and technical delivery offerings, we will be able to provide guidance or technical support on how to effectively capture, store, visualise and maximise the value of data held by the organisation.

Whether your organisation needs to capture data using smart sensors, better rationalise (or normalise) the data within your systems, or gain better insights using analytics, our wide experience working with data can be used to direct future strategies to transform your business. We will leverage best practice across built asset and IT industries, and through the utilisation of the latest in technical developments, such as machine learning, to deliver measurable value.

Data Validation and Auditing With the significant volumes of data being generated and processed within a built assets lifecycle, organisations are facing real difficulty with validation and auditing processes. The results are, organisations instead choosing to only focus on validating and auditing traditional outputs / records, or simply allowing the release of data that has not been submitted to an appropriate vetting process. We can address these issues by utilising appropriate tools to support and track these processes being undertaken, supporting a better quality of output / input, demonstrate how the same processes can be carried out internally, and minimising the risk faced within and outside of the organisation from the data generated / processed.

Data Visualisation and Trend Analysis Trend analysis brings another dimension to the existing data generated within the industry, from allowing humans to understand better the data they control / process, to allowing automated predictions based on historical data. Better analysis rapidly increases the speed of response to changing circumstances and provide a more dynamic basis for business decisions. Through investigation of your organisation’s needs and identification of areas of key value, we can develop solutions that provide the most suitable tools to empower your resources.

Data Cleansing and Regularisation To be able to utilise existing data for more automated processes including integration and visualisation, it is necessary for data to be clean and logically organised. Many organisations have developed systems and data storage in an uncoordinated or unrationalised manner, often with different leadership. BIM Academy can realign datasets with industry standards and best practice to support future use. Additionally, we can provide low cost and more efficient interim tools to support data clean up within the organisation and improve personnel commitment to improving the available data, through validating and recording additional data.

Data Translation Despite the general move to standardised and compatible information, there are many existing situations where this is not currently the case, particularly within the construction and facilities management industries. We can utilise logical rules, technical standards and machine learning to provide translations between a wide variety of data sources as well as data schemas.

Data Source Integration A core part of the move to improve data quality for organisations is the integration of better and potentially more responsive data sources. The Internet of Things has facilitated a rapid increase in the availability of a wide variety of data sources. We can provide guidance and technical capability in the integration of appropriate data sources to either our own or other applications for real time data gathering.

Machine Learning Where human capability is unable to achieve the speed, repetitiveness or accuracy required, we can utilise statistical techniques within the application of ‘machine learning’ to solve problems too big for many organisations to resolve.