This simplifies and accelerates an organization's ability to manage, prepare and deliver analytics-ready data to every business user across a diverse data landscape.
By leveraging real-time data integration technologies such as change data capture and streaming data pipelines, the best BI tools change how data is shared and how it is made available across the enterprise. It’s about moving from raw to analytics-ready data in order to advance the speed and accuracy of analytics and improve productivity. Data Integration focuses on improving communication, integration and automation of data loads between business analytics consumers and the data teams.Finally, providing data literacy as a service helps all users trust and have the confidence to work with the data. Augmented analytics helps users understand the data and embedded analytics helps all users take action on it. Then, a business-ready data catalog helps all users find this data. This means taking a holistic approach, bringing together data integration, data analytics and data literacy.Īs shown above, business intelligence software should actually be a holistic system, starting with enterprise data integration to make all data universally accessible to all users. Modern business intelligence tools must close the gaps between data, insights and actions, to better inform decisions, drive actions, and propel business forward. Data analytics alone is no longer enough.
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