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Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to datawarehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to datawarehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to datawarehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. But in reality, data by itself has no value. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. In-WarehouseData Prep with Python and R.
2012: Amazon Redshift, the first of its kind cloud-based datawarehouse service comes into existence. Fact: IBM built the world’s first datawarehouse in the 1980’s. Microsoft also releases Power BI, a datavisualization and business intelligence tool. There is Alibaba Cloud, Turbonomic, Terremark etc.
Note that extended support for Oracle Discoverer ended in 2017. While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Interactive dashboards that provide reports with a rich variety of visualization tools. But does OBIEE stack up?
However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. Reporting and visual analysis. Oracle 11g extended support ended December 2020. Java Applets support has ended on all modern browsers.
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