Over the past decade, advances in digital analytics have transformed the way businesses operate. From marketing and pricing to customer service and manufacturing, advanced analytics is now central to many corporate functions. The same, however, cannot be said for strategy—at least not yet.
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Large-scale data modernization and rapidly evolving data technologies can tie up AI transformations. Five steps give organizations a way to break through the gridlock.
Thanks to the evolution of cloud software, database technology has become a commodity. Where companies used to invest in software upgrades to enable advanced analytics, now access to quality data-related insights requires a minimum amount of hardware and computing power, which are becoming less and less expensive.
What was once unknowable can now be quickly discovered with a few queries. Decision makers no longer have to rely on gut instinct; today they have more extensive and precise evidence at their fingertips.
Dimensional Strategies Inc (DSI) has earned the Windows Server and SQL Server Migration to Microsoft Azure advanced specialization, a validation of a solution partner’s deep knowledge, extensive experience and expertise in migrating Windows Server and SQL Server-based workloads to Azure.
At DSI we can help make this strategy real through both analytics and applications - that automate and collect business processes and their underlying data. When you can visualize your entire value chain as a series of input-output engines and really understand how efficiently each one executes, you are on your journey of real digital transformation.
Business leaders around the world recognize the value in becoming a data-driven organization, and many companies have started to implement targeted advanced analytics and artificial intelligence use cases.
The pandemic has disrupted the global economy and supply chains. Global GDP is expected to shrink 5.2 percent in 2020.
Building forecasts is an integral part of any business, whether it’s revenue, inventory, sales, or customer demand.
