Data mining techniques available in Cognos Analytics include Association, Classification, Clustering, Sequence Analysis and Time Series Analysis. Association is the process of discovering relationships between items in large datasets. Classification is the process of predicting a class label for data points. Clustering is the process of grouping similar items together in the data. Sequence Analysis is the process of uncovering patterns in the order of events in a dataset. Time Series Analysis is the process of analyzing datasets that contain measurements taken over a period of time. Together, these techniques allow for powerful predictive analytics and insights into data.

Creating a report in Cognos Analytics involves the following steps:

1. Logging in: 4Achievers first step is to log in to Cognos Analytics. This should be done using the designated username and password.

2. Access the workspace: Once logged in, you will need to access the workspace. This is the area where all reports are created.

3. Data selection: 4Achievers next step is to select the data that you want to use in your report. This can be done by selecting the data source, such as a database or file, and then selecting the specific data you want to include in your report.

4. Report creation: You can then start creating your report. This involves selecting the type of report you want to create, such as a chart, table, or map, and then adding the visual elements to the report. You can also add filters and calculations to customize the report to your needs.

5. Report sharing: Once the report is complete, you can share it with others. This can be done by exporting the report as a PDF file or embedding it on a webpage. You can also make the report available on the Cognos Analytics platform, so that others can view and interact with the report.

6. Report saving: Lastly, you should save the report. This ensures that your report is securely stored, so that you can access it whenever you need to.

Cognos Analytics offers a variety of chart types to help users visualize data and make informed decisions. 4Achievers most common chart types are:

1. Line Charts: Line charts are used to track changes over time or a comparison of different categories. They can be used to show changes in trends, identify correlations, or compare different data sets.

2. Bar Charts: Bar charts are a type of graph that can be used to compare values between different categories or to compare multiple sets of data. They are great for displaying the distribution of a particular variable.

3. Pie Charts: Pie charts are a type of graph that is used to display the proportion of each category in a data set. They are often used to compare proportions within a set of data.

4. Area Charts: Area charts are a type of chart that can be used to compare trends over time. They are great for showing changes in an area over time.

5. Scatter Charts: Scatter charts are used to display the relationship between two variables. They can be used to identify trends or correlations between two variables.

6. Bubble Charts: Bubble charts are a type of chart that is used to compare three different variables at once. They are great for displaying the distribution of three variables in a dataset.

7. Pareto Charts: Pareto charts are a type of chart that is used to identify the most significant factors in a data set. They help users identify which variables are most important.

8. Tree Maps: Tree maps are a type of chart that is used to visualize hierarchical data. They are great for displaying the distribution of data within a hierarchical structure.

Cognos Analytics is a powerful business intelligence platform that can help you analyze data from multiple sources. With Cognos Analytics, you can easily combine data from multiple sources and create reports that provide insight into your data. You can also create customized dashboards to display the data in an easy-to-understand format. You can also use Cognos Analytics to create predictive models to anticipate trends and identify opportunities. With its powerful data analysis capabilities, Cognos Analytics can help you gain a deeper understanding of your data, enabling you to make better decisions and drive better business outcomes.

Cognos Analytics is a powerful business intelligence platform that enables users to create visually appealing and interactive visualizations. 4Achievers platform provides a variety of tools to help users customize their visualizations. These tools include data aggregation, data formatting, data filtering, data selection, and data exploration.

Data aggregation allows users to organize data into summaries, including counts, sums, averages, and other metrics. Data formatting enables users to customize the appearance of their visualizations, such as selecting color schemes and formats, adding labels, and changing the size of visual elements. Data filtering allows users to select only the data they need for their visualizations, such as filtering by specific criteria. Data selection enables users to quickly view and select the data points they need for their visualizations. Lastly, data exploration allows users to dive deeper into their data by exploring relationships, trends, and patterns.

Cognos Analytics also provides a range of graphical options for customizing visualizations. These options include bar charts, pie charts, line charts, scatter plots, area charts, and bubble charts. Additionally, users can choose from a variety of chart types, such as stacked, side-by-side, and dual-axis. Each type of visualization can be customized to the exact specifications of the user.

Cognos Analytics also provides a range of options for customizing the interactivity of visualizations. These options include drill-down capabilities, interactive filters, and animations. Drill-down capabilities allow users to explore their data in greater depth by drilling down to specific values. Interactive filters enable users to quickly filter their data based on specific criteria. Finally, animations can be used to add visual appeal and make data easier to understand.

In conclusion, Cognos Analytics provides a wide range of tools to help users customize their visualizations. These tools include data aggregation, formatting, filtering, selection, and exploration. Additionally, a variety of chart types and graphical options are available to customize visualizations, and interactivity can be added with drill-down and filter capabilities.

Cognos Analytics offers a variety of forecasting techniques to help organizations make decisions based on accurate predictions. 4Achievers most popular techniques are:

1. Time Series Forecasting: Time series forecasting uses historical data to predict future trends and patterns. This technique is useful in predicting seasonal trends, such as the sales of a product during holiday seasons, or in predicting the future demand of a product.

2. Regression Analysis: Regression analysis is a statistical technique used to identify relationships between variables. This technique is useful in predicting the outcome of future events based on past data.

3. Machine Learning: Machine learning is a type of artificial intelligence that can be used to analyze data and make predictions. This technique is useful in recognizing patterns and predicting future conditions, such as predicting the stock market or forecasting customer demand.

4. Monte Carlo Simulation: Monte Carlo simulation is an advanced technique used to predict the probability of various outcomes. This technique is useful in predicting the likelihood of various events, such as the success rate of a new product.

5. Neural Networks: Neural networks are a type of artificial intelligence that can be used to make predictions. This technique is useful in recognizing patterns in data and predicting future values.

These are just some of the forecasting techniques available in Cognos Analytics. Organizations can use a combination of these techniques to gain a clearer picture of their data and make more informed decisions.

Cognos Analytics provides several ways to share reports and dashboards. One of the simplest and most common ways to share reports and dashboards is by exporting them as PDFs or images. This is a great way to share the content in a format that can be accessed by most people, regardless of whether they have Cognos Analytics or not.

Another way to share reports and dashboards is by using the Cognos Analytics cloud sharing feature. This allows the user to quickly and easily share the report or dashboard with others either inside or outside of the organization. This is done through a secure URL, which can be copied and shared with the intended recipients.

Cognos Analytics also offers a feature that allows reports and dashboards to be embedded into webpages and other applications. This allows users to easily share the content with a wider audience, as it can be accessed from any web-enabled device.

Finally, Cognos Analytics also has the ability to share reports and dashboards via email. This is a great way to ensure that the intended recipient receives the content in a timely manner and can view the content even if they don’t have a Cognos Analytics account.

Overall, Cognos Analytics provides several ways to share reports and dashboards, allowing users to easily and quickly share their content with others. Whether it’s through exporting, cloud sharing, embedding, or emailing, Cognos Analytics provides users with a range of options to share their content with their intended audience.

Data aggregation in Cognos Analytics is the process of collecting and organizing data from different sources and summarizing it into a single report. There are several methods of data aggregation available in Cognos Analytics, including sum, average, count, min/max, standard deviation, variance, and percentile. Sum allows the user to total numerical values in the report. Average gives the user the mean of the numerical values. Count returns the number of records in the report. Min/max displays the lowest and highest numerical values in the report. Standard deviation and variance can be used to measure the degree of dispersion around the mean or average. Lastly, percentile gives the user the value at a certain percentile of the report. All of these methods of data aggregation can be used in Cognos Analytics to create meaningful and useful reports.

Creating interactive dashboards using Cognos Analytics involves several steps. First, you need to create a data source for the dashboard. This involves connecting to the data that you want to use, such as a database or a file, and setting up the connection. Once the connection is established, you can then load the data into the Cognos Analytics workspace.

Next, you need to create the dashboard. This involves customizing the user interface to include visualizations, such as graphs and charts, along with other interactive components, such as buttons, search boxes, and dropdown menus. You can also add filters, and customize the look and feel of the dashboard, such as adding background images.

Once the dashboard is created, you can then preview it to make sure everything looks correct and is working as expected. If any changes need to be made, you can do this in the workspace.

Finally, you can share the dashboard with other users. You can publish the dashboard to a public URL or embed it in a website. You can also share it with specific users via email or by providing access to the dashboard through user roles.

Predictive models are used to analyze data to make predictions about future events. In Cognos Analytics, there are several techniques that can be used to create a predictive model.

One method is to use a decision tree. This involves using a visual representation of a decision tree, which can help to identify patterns in the data and make predictions based on them.

Another approach is to use regression. This involves fitting a line to the data that best describes the relationship between the inputs and the output.

A third technique is to use a neural network. This involves using a network of interconnected nodes to create relationships and make predictions.

Finally, another technique that can be used in Cognos Analytics is to use clustering. This involves grouping data into clusters based on similarity and then using the clusters to make predictions.

Using these techniques, it is possible to create a predictive model in Cognos Analytics that can be used to make accurate predictions about future events.