As companies begin developing post-COVID business strategies, many are making decisions to move systems and processes to the cloud, digitize more, and create remote work environments.
Data Mapping: How Offshore Delivers Efficiencies
Recently, our E&P client acquired assets and as part of that acquisition needed to migrate data from one system to another.
Streamlining and Automation: EXCEL 365, Tips and Tricks
To help stay competitive and maximize employee productivity, organizations should continually ensure that their teams are up to speed with the latest Excel functionalities and are routinely seeking to enhance efficiency in Excel analyses.
Chicken or the Egg | Reporting or Analytics. What Comes First?
Every company wants to be data driven. Not only because it sounds good but because data delivers great insights in all aspects of your business. That being said, the idea of how to get there is widely debated. Should you focus on building reports or deriving analytics?
Automation & Streamlining Processes
As we begin to re-open businesses and re-shape goals and future needs for organizations, it’s the perfect time to focus on ways to think efficiently, streamline processes, and work smarter, not harder!
Digitalization: A Reality
As we look forward to the rest of 2020, we expect that oil and gas company investment in digitalization and innovation will continue – despite low oil prices.
Data Mapping & Data Migration
Streamline your tech transition whether it’s system integration, cloud migration, or software upgrades with our expert guidance.
Digitalize Now
Digital transformation spend is skyrocketing, with a predicted 20% CAGR increase through 2022, reflecting its growing importance.
SAP Enablement: 5 Tips
Don’t overlook Supplier Enablement when implementing SAP Ariba P2P; it’s key for automation and control.
Digitizing Data, A Valuable Commodity
In the 20th century, oil was the most valuable commodity. In this century, it’s data. With AI, people use data in ways that were simply not possible before, opening up new areas of research, business, and opportunity. Using data, AI is able to run predictive modeling