Featured

Contract Lifecycle Management Success Starts with Readiness

Managing 40,000 contracts on average is no small feat, especially when each agreement ties directly to supplier relationships, compliance obligations, and deal velocity. In fact, research shows that the average business loses nearly 9% of its value annually due to poor contract management. For one Fortune 500 food and beverage leader, contracts were the backbone of a $60B business operation across 300+ distribution centers.

But when their first attempt at Contract Lifecycle Management (CLM) fell flat, the consequences rippled across the organization. Icertis Contract Intelligence (ICI) platform went unused, a Master Service Agreement (MSA) model design was overly complex, slowing adoption, and integrations with SFDC and OpenText broke down, leaving critical data trapped in silos. Instead of reducing risk, inefficiency grew and frustration mounted.

That’s when the company partnered with CloudMoyo to take a step back and start where true transformation begins – CLM readiness. Through a focused discovery process, our team uncovered where the implementation had gone wrong and reimagined the approach with usability at its core.

Want to know how CloudMoyo turned a failed CLM investment into a foundation for long-term value?

Download the full case study!

Sign up for our newsletter
  • Reset
Blogs

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 […]

Read more September 28, 2018
Blogs

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 […]

Read more August 30, 2018
Blogs

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 […]

Read more August 22, 2018
Blogs

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 […]

Read more July 20, 2018
Blogs

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, […]

Read more May 20, 2018
Blogs

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 […]

Read more April 04, 2018
Blogs

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 […]

Read more March 19, 2018
Blogs

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
Blogs

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
Blogs

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
Blogs

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
Blogs

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