Blog Categories

Microsoft Azure Cloud, .NET, Microsoft Teams, Microsoft LUIS & QnA Maker Cognitive Services, Domain-Specific Natural Language Processing (NLP), Cosmos DB, SQL Server Integration with CDK CRM, DealerInspire and other Automotive OEM DMS/DCS and 3rd Party Fleet & Fuel Systems.

Microsoft Azure Cloud, .NET, Microsoft Teams, Microsoft LUIS & QnA Maker Cognitive Services, Domain-Specific Natural Language Processing (NLP), Cosmos DB, SQL Server Integration with CDK CRM, DealerInspire and other Automotive OEM DMS/DCS and 3rd Party Fleet & Fuel Systems.

Microsoft Azure Cloud, Custom .NET Core Application Portal, Power-BI, Active Directory and Power Automate

Microsoft Azure Cloud, .NET, Microsoft Teams, Microsoft LUIS & QnA Maker Cognitive Services, Domain-Specific Natural Language Processing (NLP), Cosmos DB, SQL Server Integration with CDK CRM, DealerInspire and other Automotive OEM DMS/DCS and 3rd Party Fleet & Fuel Systems.

Microsoft Azure Cloud, .NET, Microsoft Teams, Microsoft LUIS & QnA Maker Cognitive Services, Domain-Specific Natural Language Processing (NLP), Cosmos DB, SQL Server Integration with CDK CRM, DealerInspire and other Automotive OEM DMS/DCS and 3rd Party Fleet & Fuel Systems.

Understanding the concepts of data and analytics is only a stepping stone to the benefits received from applying them correctly. So how can you leverage these technologies and methodologies to help your organization? In this section of the article, we discuss why enterprises that intend to stay relevant in the coming decade need data and analytics.

The best way to gain business knowledge is to study and analyze vast quantities of analytical data. The process and goals of data analysis may differ for different types of organizations. A manufacturing company may use data analysis to eliminate redundancies in the supply chain and streamline all of their operational processes. A logistics company may use data analysis to enhance its scheduling and routing or to enhance delivery times to cut costs and save millions. Similarly, data analysis in healthcare can help you predict patient behavior to understand what relevant action needs to be taken.

Having the right data at the right place, at the right time, can help you discover market opportunities, improve quality, speed up production or delivery, and help you outmaneuver the competition. The right data can help you do so more efficiently - thus more profitably. The problem with these seemingly simple goals is that they get a lot of lip service without driving action.