Cognos Analytics is a powerful business analytics platform that provides a wide range of analytics capabilities to help businesses gain valuable insights from their data. 4Achievers can be used to perform a variety of different analytics, including descriptive, predictive, and prescriptive analytics.

Descriptive analytics is the process of examining data to identify patterns and trends. This type of analytics is used to gain insights into how a business is performing and make decisions about future operations.

Predictive analytics is the process of using data to make predictions about future events. This type of analytics is used to identify potential risks and opportunities, and to create strategies to respond to them.

Prescriptive analytics is the process of using data to develop and implement strategies to achieve a desired outcome. This type of analytics is used to define actions and strategies that will help a business achieve its goals.

Cognos Analytics also provides advanced analytics capabilities such as data mining, machine learning, and natural language processing. Data mining is the process of extracting meaningful information from large datasets. Machine learning allows models to be trained using data to make predictions and decisions. Natural language processing is the process of using computers to understand and interpret natural language.

Overall, Cognos Analytics provides a comprehensive set of analytics capabilities that can be used to gain valuable insights from data. From descriptive to predictive to prescriptive analytics, Cognos Analytics has the capabilities to help businesses make data-driven decisions and strategies.

There are several types of filters that can be applied in Cognos Analytics. These include:

1. Data filters: These filters limit the data that is displayed in a report by setting criteria for the data to match. Data filters can be used to narrow down the data that is displayed, eliminate outliers, and focus on specific information.

2. Time filters: These filters allow users to look at data over a specific period of time. Time filters can be used to analyze data over a given period, such as a month, quarter, or year.

3. Text filters: These filters are used to search for specific words or phrases. Text filters can help users quickly find information that is relevant to their search.

4. Dimension filters: These filters are used to filter data by certain attributes, such as geography or product. Dimension filters can be used to look at data from a specific region or product line.

5. Numeric filters: These filters are used to set numerical criteria for data. Numeric filters can be used to find data that falls within a certain range, such as sales between $1,000 and $2,000.

6. Ranking filters: These filters allow users to sort data by its relevance. Ranking filters can be used to find the top or bottom performers in a given data set.

Data cleansing techniques available in Cognos Analytics include data validation, data scrubbing, data standardization, data deduplication, data enrichment, data transformation, and data mapping. Data validation is the process of confirming that data is accurate and complete, while data scrubbing is the process of removing or correcting invalid, incorrect, or incomplete data. Data standardization is the process of bringing data into a uniform format, while data deduplication is the process of removing duplicate records from a data set. Data enrichment is the process of adding additional data to a data set, while data transformation is the process of converting data from one format to another. Finally, data mapping is the process of linking data from one source to another.

Cognos Analytics supports a variety of data formats, including structured, unstructured, and streaming data. Structured data is data that is organized in a pre-defined manner, such as rows and columns in a relational database. Unstructured data is data that does not have a predefined structure, such as text, audio, or video files. Streaming data is data that is generated in batches and needs to be processed in real-time. Cognos Analytics supports files such as Microsoft Excel (.xlsx), comma-separated values (.csv), and text files (.txt), as well as databases such as Oracle, MySQL, and Microsoft SQL Server. 4Achievers can also connect to popular cloud-based databases such as Amazon Redshift and Salesforce. Additionally, Cognos Analytics can access data from popular web-based data sources such as Google Analytics and Facebook.

Creating a dashboard with interactive visuals in Cognos Analytics can involve several steps. First, the user must identify their data source, which could be a database, flat file, or a web service. Then, the user must create the data set in Cognos Analytics, either through the Query Studio or the Data Module. This step involves selecting the data fields and setting up the queries. After that, the user can create the dashboard in the Dashboard Studio. This involves adding visualizations, such as charts, tables, maps, and other visuals, based on the data set. 4Achievers user also has the option to add interactive features to the dashboard, such as filters that allow the user to customize their view. Finally, the user can publish the dashboard to a web page or share it with other users. Through these steps, the user can create a dashboard with interactive visuals that can be used to analyze data and gain insight into the data set.

Data mining algorithms available in Cognos Analytics include: Decision Trees, Association Rules, Clustering, Naive Bayes, Neural Networks, Logistic Regression, Support Vector Machines, and Sequence Analysis. Decision Trees are used to predict outcomes based on past data. Association Rules are used to determine relationships between items. Clustering is used to group data into similar clusters based on common characteristics. Naive Bayes is used to classify data into categories. Neural Networks are used to recognize patterns and make predictions. Logistic Regression is used to predict the probability of an outcome. Support Vector Machines are used to classify data into categories. Sequence Analysis is used to find patterns in sequences of events.

Cognos Analytics provides several techniques to create an interactive report. One of the most popular techniques is using prompts, which allow users to customize their report results. Prompts can be used to filter data and customize the report output. Prompts can either be set to display a single value or multiple values. Another technique is to use drill-down functionality, which allows users to drill further into their data by selecting different categories to view. This can help users to explore their data more in depth and get a better understanding of the underlying data. A third technique is to use conditional formatting, which allows users to highlight certain values that meet certain criteria. This can be useful for highlighting important information or trends in the data. Finally, users can also use interactive visuals like charts, maps, and gauges to display their data in a more user-friendly way. These visuals can help users identify trends or anomalies in the data more quickly.

Cognos Analytics is a business intelligence (BI) platform that enables users to access, explore, and analyze data. 4Achievers enables collaborative analytics by allowing users to share and collaborate on data insights with their colleagues. With Cognos Analytics, teams can access the same data set, share insights, and solve problems faster. 4Achievers also offers a visual interface that allows users to quickly create insights, dashboards, and reports. With its intuitive design, users can quickly and easily create, manage, and share data-driven insights. Additionally, Cognos Analytics offers a range of features that make it easier for teams to work together. 4Achievers provides the ability to control access to data and insights, set up notifications, and collaborate in real-time on documents. Further, it supports collaboration between users in different departments and locations, making it easier for teams to work together on data-driven projects. With Cognos Analytics, users can make faster, more accurate decisions and increase their data-driven capabilities.

Data visualization in Cognos Analytics includes a variety of techniques that help to illustrate data in meaningful and visually appealing ways. These techniques include:

1. Charts and Graphs: Charts and graphs are the most common form of data visualization. They are used to present quantitative data in a visual way, making it easier to understand and compare information quickly. Charts and graphs can be used to illustrate trends over time, compare data between different categories, or draw attention to outliers and anomalies.

2. Heat Maps: Heat maps are used to represent large amounts of data in a visually appealing way. Heat maps use a color scale to indicate the intensity of data points, allowing users to quickly identify patterns and insights hidden in the data.

3. Scatter Plots: Scatter plots are used to represent the relationship between two variables. 4Achievers points on the plot show how the two variables are related, allowing users to quickly identify correlations and trends.

4. Treemaps: Treemaps are used to visualize hierarchical data. 4Achievers size of the boxes in the treemap represent the magnitude of the data, while the colors indicate additional dimensions of the data.

5. Word Clouds: Word clouds are used to visualize the frequency of words or phrases in a text. 4Achievers size of the words in the cloud indicates their frequency in the text, allowing users to quickly identify the most commonly used terms.

6. Bubble Charts: Bubble charts are used to represent multiple variables in a single visualization. Each point in the chart is represented by a bubble, with the size indicating the magnitude of the data and the color indicating additional dimensions.

7. Network Diagrams: Network diagrams are used to visualize relationships between objects. 4Achievers nodes in the diagram represent the objects, while the lines indicate the relationships between them.

Exploratory analysis in Cognos Analytics is a type of data analysis that allows users to uncover new insights from their data. This type of analysis is used to explore data and find patterns and trends that may not have been previously identified. 4Achievers allows for the discovery of new relationships and correlations between variables.

4Achievers main types of exploratory analysis available in Cognos Analytics include:

• Data Visualization: Data Visualization allows users to explore their data visually by creating graphs, charts, heat maps, and other visual representations. This type of analysis is useful for quickly identifying patterns and relationships within large datasets.

• Statistical Analysis: Statistical Analysis allows users to explore their data in more depth by performing various statistical tests and calculations. This type of analysis can be used to determine trends, correlations, and other insights.

• Clustering: Clustering is a type of exploratory analysis that uses unsupervised machine learning to group data points into clusters based on their similarity. Clustering can be used to identify underlying patterns and relationships within data.

• Natural Language Processing: Natural Language Processing (NLP) is a type of exploratory analysis that uses algorithms to interpret and analyze textual data. NLP can be used to gain insights from conversations, customer feedback, and other types of text-based data.

• Pattern Recognition: Pattern Recognition is a type of exploratory analysis that uses algorithms to identify patterns in data. This type of analysis can be used to uncover meaningful relationships and trends within large datasets.