Business Intelligence – From Backroom to Mission-Critical

Business Intelligence (BI), as we know it today, is an industry that’s been on a wild ride for the last 25 years. It has evolved from the basic idea of a top-down methodology to store data and provide the means for better decision making to full-scale, enterprise-wide, mission-critical systems used by every corporation in the world. BI and its older brother, Data Warehouse (DW), have become necessary components for doing business in the 21st century.

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What Do I Need to Build Reports, Dashboards and Scorecards?

High on the list of challenges for any data visualization project is the need to show results that clearly communicate information and help users identify areas for improvement. Without providing the information for business leaders to act on findings and “steer the ship to safer waters,” Business intelligence (BI) projects are nothing more than interesting, and far from essential. If you’re a BI developer, like me, you’d probably much rather be considered essential than plain old “interesting.” It’s that simple. But it can also be quite complicated with all of the moving parts and team members required in each stage of a data warehouse, not to mention all of the choices available to developers.

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Empowering Self-Service Analysis with SAP’s BI Tools

Removing the technical complexity from report creation and data analysis is one of the leading tenets for business users when it comes to accessing data. For nontechnical professionals, a degree in computer science along with extensive knowledge in SQL is no longer a requirement in today’s BI landscape. That work can be left for the data scientists and BI/DW team. But for actual decision makers and their staff, retrieving information from the data warehouse (running queries and building reports) should be intuitive and an extension of their business knowledge.

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Top 10 Reasons for Choosing SAP BusinessObjects

In many of today’s enterprise data warehouses and decision support teams, data scientists and data visualization specialists have reached near rock star status. This is in large part due to their ability to produce unique, clever and insightful perspectives with company information. These analytical gems often bypass obstacles to explain complex business data. This line of work is both an art and a science, and is generally most effective when the right blend of business intelligence tools are in place.

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What is Amazon Redshift?

Like any “big data” initiative, deploying and operating a data warehouse of any size used to be limited to only large enterprises with deep budgets for proprietary hardware and multi-year software licenses. Pay-as-you-go cloud products like Google’s BigQuery and Amazon Redshift change all of that, putting a fully blown, fully managed data warehouse within reach of even the smallest business. This article addresses what Amazon Redshift is (and is not).

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