Controlling Report Users and Roles

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Analytics to Improve IT Performance - When we say business drives technology, what do we mean by that, and how do you apply that to your business world? Well, if you look at the advances of technology, over time in the long history of technology advances, sometimes we get a little bit ahead of the business world. Now in the last few years, a big emphasis has been placed on the value that technology can bring to the business. And I really see a maturing in terms of the need for data warehousing. In a long spectrum form, it used to be, at a point in time, a nice to have thing. While we are not at that point now, for the most part, we're moving towards this kind of business intelligence resource as a have-to-have type of thing. Business intelligence has really moved into a strategic place...

Biostatisticians Use Business Intelligence - A biostatistician can utilize business intelligence software in several ways to enhance their work in the field of biostatistics. Here are some common ways in which a biostatistician can leverage BI software: Data integration and management: BI software enables biostatisticians to integrate and manage large volumes of complex data from various sources. This includes collecting, cleaning, and organizing data to create a unified and structured dataset for analysis. BI tools often provide features for data cleansing, transformation, and data modeling, which are crucial for biostatistical analysis. Data visualization: BI software offers powerful visualization capabilities that allow biostatisticians to explore and present data effectively. They can create interactive and dynamic visualizations, such as charts, graphs, and dashboards, to convey complex statistical findings in a more intuitive and understandable manner. Visual representations help identify trends, patterns, and outliers, enabling better insights and decision-making...

Business Intelligence in Manufacturing - We are going to talk about how information can make us more effective with all types of manufacturing situations including things like lean. We'll talk about some of the ways that our customers have used these business intelligence technologies to solve some of those problems and make some of the ideas that we have talked about more concrete. What I want to specifically talk about today is how do you get competitive advantage and what are we seeing in terms of companies trying to get competitive advantage using business intelligence. Manufacturers as much as ever are seeking that competitive advantage right now in an age of uncertainty. More specifically that I want to talk to you about research that we've found over the last several years...

Dashboard for University User Support - Let me show you what our dashboard looks like. This is my university user support dashboard. This is our master report. These are all of my organizations and the top things I need to know every day. So I can go in here and look and say "does this look normal or not?" This is our residential services. This is our operators, our call centers. You see that they get about 4 to 5,000 calls every weekday. These are weeks. These are on different campuses. I have trained myself so that I know when the graph looks like this, it's about right. Nothing is really happening to worry about. These are the contacts for the support center. You can see Monday and Tuesday are the biggest days, and we'll look at the data a little bit more...

Democratizing Business Intelligence - New business intelligence is sometimes called operational business intelligence because, if effectively implemented, it will be used throughout the operating side of the organization to improve its business processes. The right technology applied through the leadership and support of committed management will enable a company to operate as an intelligent machine that responds to inputs from its line managers, who use its feedback to improve their decisions. In addition to direct benefits such as those cited above, there are indirect benefits to new BI. The nature of this approach requires and facilitates greater intra-company and inter-partnership collaboration and integration, not just of data but of operations. That collaboration in turn can produce further discoveries about how to operate the business better...

Key Considerations for Successful Reporting Projects - If there are caveats to self-service reporting, they would include the potential dilution of knowledge resulting from spreading the reporting function across various lines of business, something that is exacerbated by the anthropological tendency for departmental silo-ing. Ironically, that undesirable outcome reminds one of the old days when information and database silos cropped across the enterprise, which itself spawned the business intelligence solutions of today. And do not forget the value of the single version of the truth. The IT department still has a role to play in publishing common definitions and educating users how to find data, or in other cases constructing the approved virtual data models that work off of the centralized data warehouse. There is a risk that a user might calculate a metric in a way that is different from the corporate standardized definition...

Silicon Wafer Manufacturing Business Intelligence - As global demand for semiconductors surged due to advancements in consumer electronics, automotive technologies, and Internet of Things (IoT) devices, WaferTech found itself under pressure to scale up production while maintaining high quality and competitive costs. However, the company faced several challenges that threatened its ability to meet market demand: Data Silos: WaferTech's data was scattered across different departments, including production, quality control, supply chain management, and finance. Each department used its own systems, which made it difficult to have a unified view of the company's operations. Manual Reporting: The company relied on manual data collection and analysis processes. Reports were often delayed, inaccurate, and lacked real-time insights. This hampered timely decision-making and caused inefficiencies in production scheduling and resource allocation...