Data is no longer just something to be "managed" - it is the key differentiator between driving business based upon operational strategies, goals, and effective decisions or waiting to react to whatever shows up in your inbox next.
The journey toward your organization's digital data transformation starts with understanding the drivers behind your business, the influencers, and creation of the data models and predictions for the insights to prime successful decision making.
Most organizations are currently operating at this level which includes information that is generally static, focused on hindsight and telling what happened in the past, and typically includes reports that have been used in the organization since its inception. This provides the organization a baseline view of how they are performing at the current point in time looking backwards.
As the organization begins their transformation and recognizes that they require more information and insights, they begin to look for reasons and explanations for the current baseline. By adding the ability to compare past data against standards to define variances, defining Key Performance Indicators, and introducing Root Cause Analysis, the organization creates the initial footprint of Business Intelligence.
Emerging into a new data culture takes an organization into utilizing past and present data to build predictive future models. Many organizations are just starting to scratch the surface of this level of transformation, with Big Data providing many more opportunities for modeling and answering "what if" questions. With the significant technological advancements happening every day, having this level of analytics in the roadmap is now achievable for the average organization.
Adding flight to an organization's transformation is about defining the factors that are key to changing future results. Organizations committed to operating at this level are utilizing advanced modeling and techniques that build upon the early foundational levels, and these techniques become inseparable and indistinguishable from their business model.
To effectively create a Modern Business Intelligence experience that is conducive to a data culture, it’s necessary to work with a platform that enables extracting intelligence seamlessly by:
The Microsoft Business Intelligence platform offers the flexibility that customers need to transition to Modern BI in their terms. Leveraging Microsoft’s BI capabilities will help U of L HCS model, analyze, and deliver business insights, which can be consumed by their users on mobile devices, on the web, or embedded in apps. There is the option to run most capabilities on-premises with SQL Server Analysis Services and Reporting Services as well as Power BI Desktop and Excel or the preferred recommendation is to take advantage of the full cloud solution.
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