Featured
- Customer success story
Terracon Establishes Readiness for Advanced Analytics and AI/ML Applications
For Terracon, one of the largest architecture, engineering, and construction (AEC) firms in the US, growth brought both opportunity and complexity. As their business expanded across regions and service lines, their data grew alongside it. Unfortunately, it was scattered across multiple systems, disconnected from one another, and difficult to analyze. Teams spent more time searching for accurate information than making strategic decisions.
Siloed data was holding them back, and they understood that teams spent more time searching for accurate information rather than making strategic decisions. To address this, they set out to modernize their enterprise data management approach and build a foundation for advanced analytics, data science, and AI-driven automation. Terracon’s goal was simple: create a single source of truth that would let employees access, visualize, and act on insights in real time using modern business intelligence platforms.
That’s when they partnered with CloudMoyo to reimagine what their data could do. Together, they designed a modern, cloud-powered ecosystem that broke down barriers between departments, aligned data priorities with business goals, and set the stage for scalable analytics.
Curious how they got there? Download the full case study to discover the strategy, technology, and partnership behind this transformation.
- Videos
- March 21, 2025
Sign up for our newsletter
An introduction to how big data and analytics are improving the transportation industry
Big data and analytics have been creating a buzz for some time now. They may sound fancy and technical, but the idea behind how they work is not that difficult to grasp. In fact, they are not esoteric concepts that only experts can benefit from, as they have enormous applications in various transportation fields, including […]
AI in Power BI: New artificial intelligence-enabled Power BI features
Organizations everywhere are experiencing an explosion of data. It is increasingly important to have a fast, secure, and easy-to-use analytics solution. Thanks to advances in cognitive computing and AI, companies can now use sophisticated algorithms to gain insights into consumer behavior, use the real-time insights to identify trends and make informed decisions that give them […]
10 advanced analytics features in Power BI that you should know
An organization is filled up with tons and tons of data. Emerging technologies have changed the way to deal with the available information, brought in new ways to determine and understand business trends. The availability of information brings not only opportunities but also challenges. Advanced Analytics is the autonomous or semi-autonomous examination of data or content […]
Implementing Power BI? Discover the 5 key benefits that Microsoft Power BI offers
Power BI is a business analytics solution helping users to visualize data, create stunning dashboards, and embed them in any application. Its availability over a cloud platform means that it can be used without any capital expenditure or infrastructure support. It is free from legacy software constraints and is easy to start with. The most […]
Top 10 artificial intelligence problems you should know
Artificial Intelligence (AI) is the toast of every technology driven company. Integration of AI gives a business a massive amount of transformation opportunities to leverage the value chain. Adopting and integrating AI technologies is a roller-coaster ride no matter how business-friendly it may sound. A Deloitte report says, around 94% of the enterprises face potential Artificial Intelligence […]
5 myths about data quality that could derail your analytics project
Data quality is crucial to any successful Business Intelligence project. Poor data leads to poor reporting and decisions making capabilities. Data quality is a common issue in Business Intelligence as most of can identify and acknowledge. But, how do we define data quality? Do you know some of the major characteristics that make up data […]
3 questions you need to ask before implementing a data lake
What does it take to successfully implement a data lake? – Well, the answer is having a clear idea of what you aim for or why you need a specific set of data from data storage. If you’re are thinking whether or whether not to implement a data lake, here are the key questions you […]
A complete guide on how to implement AI in your organization
Many C-level or IT decision-makers believe that the sheer volume of data sets the foundation of AI (Artificial Intelligence). Around 90% of enterprises incorporate AI because it’s trendy. Many lack the required skillset and tools to use AI and mitigate complexities of the huge volume of data they have, unaware of the fact that AI […]
Applying artificial intelligence to contract management
Contracts are difficult (or rather impossible) to sort. They are everywhere, distributed across many repositories, scattered across multiple locations. The inaccessibility of contracts makes the task of managing them cumbersome, leading to a risk of losing out important business opportunities that are buried in these resources. The manual handling of these contracts becomes even more […]
Cloud analytics with Compute Optimized Gen2 tier of Azure SQL Data Warehouse
Data has the power to transform a business in and out. In order to remain relevant and gain competitive advantage, an enterprise needs to have the ability to transform data into breakthrough insights. Data is growing exponentially. To control the flow of this huge chunk of data and to convert this data into meaningful insights, […]
The difference between artificial intelligence, machine learning, and deep learning
The tech world today is talking about three important terminologies: Artificial Intelligence, Machine Learning and Deep Learning. These names often create confusions. Many think the three terms are one and the same when there are significant differences between them. They are often used interchangeably but that isn’t the case. So, what exactly is the distinction between […]
15 reasons why you should opt for a cloud data warehouse
Data holds the power to transform the business landscape, helping you to discover business insights and aids in decision-making. Yet, enterprise systems today generate large amounts of data, which is certainly not a piece of cake to manage. This new type of data comes with high volume, variety, and velocity, and is popularly known as […]
