How can you create data reports using SAS Visual Analytics for business intelligence?

To create data reports in SAS Visual Analytics, first import your data from various sources. Then, use the intuitive interface to analyze this data and create visualizations like charts and graphs. Next, organize these visuals into interactive reports using templates and customization options. You can add interactive features like filters and prompts. Finally, share these reports with your team or stakeholders through various export options or online. This process helps in making data-driven decisions efficiently, enhancing your business intelligence.

O processo de prepara??o de dados será fundamental para cria??o de relatorios intuitivos e dinamicos. A utiliza??o de modelos de dados prontos como os de camada semantica, possibilita a centraliza??o e padroniza??o dos dados na organiza??o promovendo aos usuários acesso e utiliza??o mais eficiente e precisa das informa??es.

To create records reports the use of SAS Visual Analytics for business intelligence, observe these basic steps: 1: Access records sources and alter statistics properties. 2: Drag and drop desk, graph, control, analytic, field, and content gadgets to create a well-designed document. 3: Designate roles and modify properties of the report object. 4: Apply facts fine functions, create calculated columns, and more with drag-and-drop ease. 5: Visualize and find applicable relationships for your records. 6: Share interactive reviews and dashboards, and use self-carrier analytics to speedy check probable consequences for smarter, extra statistics-pushed choices.

To craft data reports with SAS Visual Analytics for robust business intelligence, leverage its intuitive interface for data exploration and visualization. Start by importing your data, choose relevant visualizations, and apply filters for meaningful insights.

Begin by ensuring your data is clean, complete, and prepped for analysis. In SAS Visual Analytics, you can import data from various sources and use the platform's data preparation tools to filter, sort, and create calculated columns as needed.

Decide on the type of report that best conveys the information you want to share. SAS Visual Analytics offers a range of report types, from summary statistics to detailed transaction reports. Your choice should align with the report's objective and the audience's needs.

-Data Characteristics: Select a report type that best represents your data’s nature and structure. For instance, use line graphs -Objective of Analysis: Align the report type with your analysis goals. Use bar charts for comparisons, scatter plots for relationships, or heat maps for complex data distributions. -Audience: Consider your audience’s familiarity with data interpretation. Choose simpler visuals for a general audience and more complex ones for data-savvy viewers. -Interactivity Needs: Decide if you need interactive elements like filters or drill-downs, which are great for dashboards. -Storytelling: Choose a format that best tells the story in your data, guiding the audience towards key insights and conclusions.

After meticulously preparing your data, the next crucial step is choosing the right report type. With SAS Visual Analytics, you're spoiled for choice – charts, tables, maps, gauges, indicators, and text are just the beginning. Creating a report involves adding a report object to SAS Visual Analytics, serving as a dynamic visual representation of your data. These reports become a canvas, allowing you to showcase insights in a way that resonates with your audience.

Determine the type of report that best suits your business needs, whether it's a dashboard, infographic, chart, or a combination of these.

With your report type selected, design the layout by placing tables, graphs, and other visual elements in a logical and aesthetically pleasing manner. SAS Visual Analytics provides templates and customizable options to help you create a professional and insightful layout that enhances the data's readability and impact.

Create a visually appealing and intuitive layout for your report. Arrange elements such as charts, graphs, and text in a logical manner to convey your insights effectively.

To make your reports more engaging and user-friendly, incorporate interactive elements such as filters, sliders, and drill-down capabilities. This allows users to explore the data and discover insights dynamically.

Enhance user engagement by adding interactive elements such as filters, drill-down capabilities, and tooltips. This allows users to explore the data and gain deeper insights.

Utilize SAS Visual Analytics' powerful analytical tools to uncover patterns, trends, and correlations. You can add analytics like forecasts, regressions, and decision trees directly within your report.

To analyze your report data, start by identifying key trends and patterns over time. Compare various metrics across different segments or categories to understand disparities and performance drivers. Look out for anomalies or outliers that might indicate underlying issues or unique opportunities. Conduct correlation analysis to find relationships between variables, and benchmark your findings against industry standards or historical data. Finally, synthesize these observations into actionable insights, focusing on what the data suggests for strategic decisions and potential improvements.

Once your report is complete, take advantage of SAS Visual Analytics' distribution features. Share your report through various channels, ensuring it reaches the right stakeholders. You can distribute reports via email, export them to PDF or other formats, or publish them to the SAS Visual Analytics portal for broader access.

To share and distribute your report, first choose the appropriate format (PDF, interactive dashboard, etc.). Then, use SAS Visual Analytics’ sharing features to distribute the report via email, shared links, or embedded into web pages or corporate portals. Ensure access control for data security and consider mobile-friendly formats for ease of access. Regularly update and notify stakeholders of new insights or data revisions. Encourage feedback to continuously improve report relevance and effectiveness.