Big Data in Construction Industry
Decoding Construction Industry in the UAE with Big Data 

Big Data has been continuously reshaping the construction landscape in the GCC countries in significant ways.

In the construction industry, Big Data refers to the large amounts of information  that may be examined to identify certain patterns, trends and connections. Now where does this data come from? Well, this data comes from various sources, for instance – buildings and the design plans, different types of construction projects, machinery, supply chains, cranes, accounting, payroll, workers on various construction sites and whatnot!

Big Data in Construction Industry

Now, what is happening is that the construction industry is utilizing the power of Big Data more and more. Do you know why?  In simple words- to unlock new opportunities for efficiency, saving costs and better decision making.

Isn’t that what construction companies want?

Now, Let’s Understand the Importance of Big Data in construction

See, Big Data is bringing a massive change to the construction industry. And, this is pretty clear. But how is this happening?

It does this by collecting and analyzing large amounts of data from many different sources like construction software, sensors in building materials, GPS tracking tools and project management systems.

This data can be structured (meaning it can be organized in a pre-defined way) or unstructured (like text, images, videos).

Studying this huge collection of data gives you valuable insights. Based on this data, you can better plan, carry out and manage your construction projects.

Some Key Benefits of Big Data in Construction

Let’s talk about project managers and stakeholders. They can access real-time data and prediction models through big data analytics in construction. This allows them to make the best decisions. The analytics help them mitigate risks, even allocate resources and adapt smoothly to changing project conditions on-site. Analyzing data from different construction projects allows managers to easily identify recurring challenges or bottlenecks.

One of the biggest advantages is the significant boost in project efficiency and cost savings. Construction companies can review data from different projects to pinpoint areas of inefficiency or wasteful spending. With these insights, they can streamline workflows, plan better schedules and eliminate unnecessary costs.

For example, if you examine data on material usage and waste, you can make estimates more accurately. This lowers material costs and reduces environmental impact. 

The role of big data in construction has been further solidified because of the integration of big data and the Internet of Things (IoT). Now these IoT devices like sensors in building materials and construction machinery generate a lot of data during a project. This data provides powerful insights into areas like energy usage, worker safety and structural health monitoring. 

The Future of Big Data in Construction

AI and ML algorithms, for example, will enhance big data analytics capabilities. How? Well, it can help analyze vast construction data to identify trends, detect anomalies and provide insightful results.

Then comes IoT-enabled construction sites. The proliferation of IoT sensors and devices will enable construction sites to generate a continuous stream of real-time data and this will positively improve monitoring and decision-making.

Then there is predictive maintenance. Big data analytics will enable predictive maintenance by analyzing historical equipment performance data. Meaning, it can forecast potential failures and reduce operational costs and downtime.

Building Information Modeling (BIM) will integrate with big data analytics. It will provide a collaborative platform for stakeholders to visualize and plan projects with enhanced data-driven insights.

And, Augmented Reality (AR) technology will overlay virtual design elements onto real-world environments. Meaning, this will improve spatial awareness and enable early conflict detection and construction visualization.

Find the Best Construction Data Analysis Software for Your Company

Are you searching for software to streamline your construction business operations? Look no further than PROJECT INTEL – your one-stop solution for accessing big data in construction in the UAE. This powerful all-in-one platform helps you effortlessly manage your sales pipeline and forecast with absolute confidence.

We provide comprehensive construction-related market data and analysis, offering a wealth of benefits to our valued customers. We are a reliable source for getting valuable information related to construction projects, market trends, and company data in the Gulf Cooperation Council (GCC) region. 

Whether you need residential construction market analysis or commercial construction market analysis, our user-friendly portal platform offers these data at your fingertips

Our cutting-edge construction intelligence data analysis tool empowers your sales team by providing a steady stream of growing pipeline sales leads, which can then be converted into tangible business opportunities.

Subscribe to our portal now!

construction data analysis tools
Understanding Urban Construction Challenges and Solutions through Urban Planning

As technology and science advance, GCC countries are focusing more and more on sustainable urban infrastructure development to compete with the rest of the rapidly urbanising world. But, when it comes to urban construction, a lot of challenges come in the way, which you need to address before the project kicks off. 

In today’s blog, we will delve into the probable challenges urban infrastructure construction faces and the best possible solutions to deal with them to build a sustainable and resilient urban city. 

construction data analysis tools

Common Challenges Urban Infrastructure Development Faces

As an urban city planner, addressing complex challenges is the best way to ensure that the city you design remains functional and vibrant for many more years to come. From transportation to water supply to housing and sanitation, urban city development encompasses all these sectors to build inclusive and sustainable cities. 

However, no matter how efficiently you plan an urban city, there are still high chances of facing the following challenges:

Ageing infrastructure

A huge number of cities across the GCC countries are still grappling with ageing infrastructure, seeking repair, replacement, and maintenance. Worn-out utility systems, bridges and roads cause safety risks for inhabitants while posing a threat to economic growth.

Population growth

A rapid increase in population is the most common hindrance to urban infrastructure development. Unexpected population growth can cause huge pressure on the existing infrastructure, overcrowding and a lack of resources. 


Environmental degradation, like water and air pollution or deforestation, can be in the way of urban infrastructure construction and development. Balancing the protection of the environment and infrastructure development is a complex challenge to overcome. 

Limited resources

Large-scale urban infrastructure projects are often stopped due to limited budgets, making it difficult for any company or individual to finance them. To meet such funding gaps, it is important to rely on distinctive financing mechanisms and public-private partnerships. 

Traffic congestions

With the rise in vehicle ownership, there is a rise in traffic congestion in cities. As a result, people spend more time on longer commutes, which means more gas emissions that reduce the daily quality of their lives. 

construction data analysis platform

Urban Planning Towards Sustainable Urban Infrastructure Solutions 

All the challenges urban infrastructure development faces come with one solution: Urban planning. Smart urban planning is the backbone of a successfully planned city. The better you design and organise the city, the more sustainability, functionality, and liveability residents can enjoy. Considering all the factors, including housing, infrastructure, public spaces, and transportation, you can actually ensure that urban planning meets every need of growing populations while overcoming the challenges. Here’s how:

  • With smart urban planning, you can ensure the design integrates sustainable practices by cutting off energy consumption and environmental impacts and enhancing the use of renewable resources. 
  • Efficient urban planning comes with enhanced liveability with access to green spaces, unbelievable amenities, and quality accommodation, ensuring an improved lifestyle for inhabitants. 
  • Smart urban planning means efficient and strategically designed infrastructure everywhere, from utilities to transportation networks to public services, that reduces traffic congestion and simplifies resource allocation.
  • Proper urban planning fosters well-planned neighbourhoods, promoting inclusivity and social interactions. Overall, it creates a sense of community among populations. 

In Conclusion

Although the challenges faced by urban infrastructure development are complex, they are not impossible to resolve. With careful urban planning and innovative solutions, you can keep pace with the rapid urbanisation when designing the city. And, when it comes to smart urban planning, a thorough urban construction analysis is mandatory where PROJECT INTEL comes into play. It’s a real-time construction data analysis platform that provides a clear outlook for GCC construction market analysis. It will help your sales team get accurate leads and track the latest urban development and construction projects with the details of the major consultants and contractors. 

If interested, request a demo now or start your free trial today!

Business Intelligence Tool
Business Intelligence Infrastructure: What It Is, How It Works, and More

GCC countries, including the UAE, Saudi Arabia, Oman, Qatar, Bahrain, and Kuwait, have become hubs of construction and infrastructure projects. Every business entrepreneur, regardless of size, aims to stay ahead in the competition here, where they leverage data for everything, from project sales leads to forecasting to market analysis, to fetch accurate details about the major projects. It helps not just to make data-driven decisions, but a clear view of the current market situation and internal operations. 

However, although every small and large business uses data for internal and external operations, unstructured data chunks are of no use. Want to make them into something useful? Here’s where business intelligence (BI) infrastructure systems come into play. 

Business Intelligence Tool

In today’s blog, we are going to discuss what Business Intelligence (BI) is, how it works, its implementation, and much more. Let’s get started. 

What Is Business Intelligence?

When it comes to business actionable insights, Business Intelligence (BI) is the best way to hold on. It is a set of practices for analysing, structuring, and collecting raw data to turn the unstructured data sets generated from internal and external resources into something useful, like information dashboards or easy-to-grasp reports. With the help of Business intelligence tools integration, you can manage the operational workflow of your company, while making data-driven decisions. 

How Does BI Work: Understanding the Process

When it comes to the Business Intelligence (BI) process, we can divide it into five different stages, including:

  • Data collecting
  • Data standardisation
  • Data storage
  • Data analysis
  • Reporting 

The first step involves gathering information generated from internal and external resources, including Google Analytics, ERP, CRM, market data suppliers, industry analytics, and much more. In the second stage of the process, data is prepared for analysis. The third stage involves loading the set of information in the data warehouse for further automated analysis to transform unstructured data into something useful and actionable through different qualitative and quantitative analytical methods. At the final stage, the data is presented in reports through dashboards, graphical imagery, or any other form of visual representation. You can use this business intelligence and analytics to extract actionable details or communicate with your team.

Note: Advanced technologies used in Business Intelligence (BI) to turn unstructured and semi-structured data are also used as front-end tools to operate big data and data mining. 

Understanding the Differences Between Business Intelligence and Predictive Analytics

Many business entrepreneurs find BI and predictive analytics confusing, as both intersect with each other in terms of knowledge. These two terms are not likely to be used as alternatives. Any small or big organisation has these four stages of analytics maturity, including:

  • Predictive analytics
  • Prescriptive analytics
  • Descriptive analytics
  • Diagnostic analytics

Predictive analytics involves forecasting future business trends and considering past and current events based on their data processing.

The last two stages involve Business Intelligence (BI) infrastructure that will answer the questions, ‘What is going on and Why?’ Here, the diagnostic and descriptive analytics research the current market conditions and internal processes of the company and identify development opportunities. 

On the contrary, prescriptive analytics is an advanced type of Business Intelligence (BI) that identifies business problems and recommends the required actions to take. 

 Construction Data Analysis Platform

Business Intelligence Implementation

When adopting BI in your business, you can break it down into two basic steps- Introduction and Business Intelligence integration tools and applications. For example:

  • Introducing BI to your employees and stakeholders as a concept 
  • Setting the KPIs, objectives, and requirements
  • Looking for a custom solution once you choose the BI tools according to your business size
  • Collect a business intelligence (BI) team from different departments of your organisation to work on the strategy. 
  • Document your strategy in BI and set up the BI data integration tools to configure a data warehouse based on the architectural approach.
  • Implement the reporting tools and dashboards.
  • Conduct training for your employees (end-users)

In Conclusion

Now, if you are looking for a business intelligence (BI) infrastructure system on the market, PROJECT INTEL is the one to hold on to. Whether it be urban construction development analysis, tracking infrastructure projects, or listing major projects with leading consultants and contractors, this real-time construction data analysis platform has got you all covered. You can have a clear outlook of the GCC construction market analysis under a single roof. 

Request a demo now, or start your free trial today!