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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.

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Understanding the concept of self-service BI in the cloud

Do you use self-service BI? No? Think again… How often have you selected few parameters, set some filters and got a report of your banking transactions from the internet banking facility of your bank? Or as a web marketer, haven’t you configured custom reports to get insights into your website visitors and their behavior? These […]

Read more February 28, 2018
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Building enterprise-class machine learning apps using Microsoft Azure

In our earlier post, we introduced the concept of Machine learning (ML) and also some types as well as applications in real world. In the second part of this series, lets peek into how to build Machine learning apps using Microsoft Azure. What is Azure Machine Learning Studio? Microsoft breaks down the use of Machine Learning (ML) […]

Read more January 30, 2018
Blog

An ultimate, beginner’s introduction to machine learning

For many people, their first experience and introduction to Machine Learning was the ‘Recommendations’ feature on Amazon. The system was able to predict future choices to a consumer based on what previous choices they had made. Many people conflate the concepts of Artificial Intelligence and Machine Learning, whereas, AI is the ability of a machine […]

Read more January 10, 2018
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ABC of cloud data warehousing terms – A glossary

Data Warehouse, also known as enterprise data warehouse, is considered as one of the core elements of BI (Business Intelligence). Data warehouse is a system or means for reporting and data analysis and also supports the decision-making process. The process of planning, constructing, and maintaining a data warehouse system is called data warehousing. Now, to have an […]

Read more December 11, 2017
Blog

A beginner’s guide to Microsoft’s Azure Data Warehouse

Your business data is extremely POWERFUL, only if you are able to use it properly– to generate valuable and actionable insights. However, it is also imperative to organize and analyze it well. A recent report says, less than 0.5% of the business data is actually stored and analyzed in a right way. As an impact, enterprises lose over $600 billion […]

Read more November 30, 2017
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Top 10 factors to consider while choosing a self-service BI solution

According to the report released by Gartner, the global market of Business Intelligence (BI) and analytics software will expand to reach $18.3 billion by the end of 2017 and shall continue to grow till 2020 to reach $22.8 billion.  Business users increasingly demand the access to important business data in real time. Business Intelligence (BI) is […]

Read more November 16, 2017
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5 reasons why you need a Power BI implementation partner

If you are still clouded on the idea of whether or whether not to have a Power BI implementation partner, you must read this blog. The answer is yes! Yes, you should have an implementation partner for Power BI. Power BI is a marvelous resource to any business. It is an asset that can bring […]

Read more November 13, 2017
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What is the future of the cloud data warehouse?

The emergence of the data warehouse transformed the business information management landscape which was previously restricted to manual methods, complex & unwieldy spreadsheets and was generally inaccessible to the general users. Its exponential and rapid growth has made companies realizes the value of the data they generate. This gave rise to the environment of cloud […]

Read more October 25, 2017
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A deep dive into the Microsoft Azure Data Lake and Data Lake Analytics

Today, large enterprise organizations are struggling with an ocean of data. From online shopping analytics to the Internet of Things (IoT) sensor data, the modern IT team is inundated with raw or semi-raw data captured from every side of the organization. These entities have begun dumping this raw data into a holding tank called the […]

Read more October 08, 2017
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Top 3 things to look for in your contract management implementation partner

Contracts are the foundation of commerce. To better handle contracts by standardizing and automating the contracting process, ensuring greater control, better supply chain agility and responsiveness and improved execution speed, today’s enterprises are hunting high and low for an easy yet advanced contract management solution. Why do you need a contract management implementation partner? While […]

Read more October 05, 2017
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6 things to check before contract management software implementation

For every enterprise, managing contracts is a critical and challenging task. Even a simple question around contract expiry dates or the location of the latest version of a contract can slow down a critical transaction or process. To maximize workflow efficiency, many organizations have now started using digital documents or Document Management System (DMS). However, […]

Read more October 03, 2017
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8 reasons why a cloud data warehouse outshines an on-premise data warehouse

Traditional Data warehousing has hit a roadblock. Most organizations have ancient information management systems typically built in an age where inflexible systems working within solos were sufficient to address data needs of that era- limited data sources, infrequent changes, lesser volume of transactions and low competition. But today, the same systems have been rendered ineffective […]

Read more September 11, 2017