In medium-sized companies, there are dozens, and in large companies - thousands of systems or databases that must be constantly filled with data and at the same time be able to work with each other. All new data resulting from the processing of incoming information is created in the systems to solve specific business queries.
And if earlier decisions in the company were made by the CEO or manager who manually collected all the data for analysis, in today's world of fast data flow, the work is shifting towards automated analytics.
The simple "traditional-manual" executive-level discussion of business processes will shift and is already shifting towards operational analytics, which requires quick responses to business queries.
The era when accountants and cost estimators could afford to spend long periods of time compiling reports, quantity tables and estimates is going away. Today's businesses demand quick answers to their analytical questions, expecting results within minutes. Looking to the future, it is unlikely that any large company will put up with the lengthy processes and response times in hours or days that are now accepted in the construction industry.
Today, in the construction industry, decisions take days or weeks to be made, whereas in other industries, decisions are made in minutes or hours
In today's construction industry, the lack of quality standards and automation has resulted in data processing and analysis being much slower - tens and hundreds of times slower - than in other industries.
One of the major data challenges that inhibits data processing and integration remains the quality and standardisation of both the data itself and the processes.
What sets the construction industry apart from other sectors of the economy is the outdated approaches and principles that are ubiquitous in companies operating in the construction sector. Without standardized, quality and consistent data, effective communication between different systems is impossible. Lack of consistency leads to operational failures, delays and increased costs.
