We’ve all heard and seen the realities of the increase in shipping rates. In 2021, the domestic shipping rates for moving goods by road and rail in the U.S. was up 23% from 2020. The real problem, though, is that even if you can afford that increase, the product and capacity might not be available. […]
Getting to AI Adoption at Scale
Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get the resources to build out the technical infrastructure required to use AI at scale, when we have not proven the value yet? How do we create a culture of data-driven decision-making […]
How to Modernize Analytics Strategies with Operational Data
We all know data is valuable to our businesses. And we all know that we should be able to do more with that data. Just as Michelangelo said that every block of stone has a statue inside it and it is the task of the sculptor to discover it, so every set of data has […]
Boost Business Value with a Well-Defined Enterprise Analytics Strategy
As digital technologies spread their roots in the business world, organizations have access to more data than ever. This data becomes an essential organizational asset when utilized for enriching business strategies. But the process of turning data into insights is as important as the data itself. Hence, more and more organizations across sectors are deploying advanced analytics to grow […]
Industry 4.0: Challenges for Digital Transformation
Click here to learn more about author Mahendraprabu Sundarraj. The benefits of digital transformation – Competitive edge, deduction in operational expenses, and improved product quality – are indisputable. Many manufacturing companies have started transforming their manufacturing operations or at least plan to start soon. Digital transformation is never a one-time exercise, but a continuous improvement […]
Does Data Democratization Result in Data Anarchy and Bad Business Decisions?
Click to learn more about author Kartik Patel. One of the most common excuses used to avoid Data Democratization and Self-serve Augmented Data Discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than […]