Solving the Modernization Puzzle with Dynamics 365
Digital technologies and digital platforms have been instrumental in enabling the world to operate in 2020, in a period of unprecedented disruption to our traditional business operating models. The use of digital technologies and digital platforms has introduced new engagement and operating models which will continue to operate and evolve and drive many aspects of your business in the future.
Digital Transformation in Retail Customer Experience
As the retail industry continues to be disrupted by emerging technologies and shifting consumer behaviour, how do you keep up? One of the first steps is to keep up to date with the latest innovations and trends that will transform how you start, market, manage, and grow your business in 2020 and beyond.
Digitizing Field Services in Oil & Gas with Microsoft Dynamics 365
Oil & Gas is an extremely wide and resource challenged industry with critical operational challenges. Precious time can be compared to black gold itself; substantial competitive advantage can be achieved by improved efficiency. The Oil & Gas industry having many operational challenges and they manifest themselves through lengthy order to cash cycles, low utilization and revenue per field resource numbers, high bill contestability and difficulties delivering and supporting customer commitments.
Leveraging Digital Platforms to sail through the volatile Commodity Market
Digital technologies are driving the paradigm shift in the commodity market. Adoption of Intelligent platforms in commodity sourcing has been growing since the last decade.
Manufacturers and traders are increasingly adopting modern technologies like Artificial Intelligence, Machine Learning and Blockchain to have better control over the volatile commodity markets
Digitization in the commodity world is reshaping how commodities are procured with optimal use of present-day technologies, thus increasing productivity.
Power of Automation for Data Testing
Testing of ETL Projects – Why is it crucial than ever?
Testing of business-critical applications that are data and process-intensive is a laborious process owing to varied factors. Processing of huge amount of data from multiple sources involves complex calculations, transformations that necessitate frequent and elaborate data loading and reloading activities.