Covering the essentials of business intelligence, explore the features & functions for an overview.
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Today’s growing data volume presents virtually limitless opportunities for organizations to optimize processes or increase profitability. But that’s only possible if data can be aggregated and analyzed to inform business decisions. Unfortunately, the large volumes of data that organizations ingest are typically siloed in many incompatible data sources, making analytics difficult.
With data aggregation and data transformation, however, data can be consolidated and translated into a standard format easily used by analytics systems. With these capabilities, organizational silos can be eliminated to provide immediate access to data and critical information for data-driven insights.
As organizations increase their data stores, they end up with more and more inaccessible information. Leveraging all this data to improve the decision-making process requires aggregation and transformation, bringing it together in one place and translating it into a standard form for analytics.
Data transformation is the process by which organizations aggregate and convert data to make it conducive to integration, management, and analysis. This may include converting data types, cleaning data, enriching data, converting formats, and more. After the data is converted, organizations can access and use it for analysis.
The benefits of data transformation include:
Data can be aggregated and consolidated through three different methods: Traditional extract, transform, and load (ETL) with data warehousing, ad-hoc mashing, and federated queries. Choosing between them depends on whether the organization wants a solid solution that’s managed by an IT team, a solution that business users can manage themselves, or real-time data access.
Modern business leaders realize that data analytics is essential for driving business success. Aggregating data into one location is the key to real-time, effective analytics, and there are several options for how to do so. Organizations need to decide which of these is best suited to their unique needs.
Learn more about how data transformation can drive success for your organization our new e-book, Transform Data for Analytics. Download your copy.
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