What is cognos insight

Multiple editions of the IBM Cognos Insight product are now available including editions that are included as part of other Cognos licensing. Get in touch If you would like to know more about Certus, our solutions, services, or how we can help your business, please fill out the form below. Tweets by CertusSolutions.

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Cognos Planning Analytics TM1. General Analytic Success. The analysis hopes to reveal customers' buying patterns demographically, streamline sales channels, improve supply chain management, give an insight into forecast spending, and redirect budgets to advertising, marketing, and human capital management, as required.

As this analysis is going to involve multiple departments and resources working with spreadsheets, one of the challenges will be to have everyone speak in similar terms and numbers. Collaboration across departments is important for a successful analysis. Typically in such situations, multiple spreadsheets are created across resource pools and segregated either by time, product, or region due to the technical limitations of spreadsheets and often the analysis requires the consolidation of these spreadsheets to be able to make the educated decision.

After the number-crunching, a consolidated spreadsheet showing high level summaries is sent out to executives, while the details remain on other tabs within the same spreadsheet or on altogether separate spreadsheet files. This manual procedure has a high probability of errors. Using the intuitive drag-and-drop functionality or the smart-metadata import wizard, the spreadsheet data now appears instantaneously due to the in-memory analysis in a graphical and pivot table format.

Similar categorical data values, such as customer, time, product, sales channel and retail location are stored as dimension structures. All the numerical values bearing factual data such as revenue, product cost, and so on, defined as measures are stored in the OLAP cube along with the dimensions.

Two or more of these dimensions and measures together form a cube view that can be sliced and diced and viewed at a summarized or a detailed level. Within each dimension, elements such as customer name, store location, revenue amount generated, and so on, are created. These can be used in calculations and trend analysis. These dimensions can be pulled out on the analysis canvas as explorer points that can be used for data filtering and sorting.

Calculations, business rules and differentiator metrics can be added to the cube view to enhance the analysis. After enhancements to the IBM Cognos Insight workspace have been saved, these workspaces or files can be e-mailed and distributed as offline analyses.

Also, the users have the option to publish the workspace into the IBM Cognos Business Intelligence web portal, Cognos Connection or IBM Cognos Express, both of which are targeted to larger audiences, where this information can be shared with broader workgroups. Security layers can be included to protect sensitive data, if required. The publish-and-distribute option within IBM Cognos Insight is used for advanced analytics features and write-back functionality in larger deployments.

As an example, the analyst can create what-if scenarios for business purposes to simulate the introduction of a new promotion price for a set of smart phones during high foot traffic times to drive up sales. Or simulating an extension of store hours during summer months to analyze the effects on overall store revenue can be created. The preceding screenshot demonstrates the steps from raw data in spreadsheets being imported into IBM Cognos Insight to reveal a dashboard style report instantaneously.

Additional calculations to this workspace creates scorecard type graphical variances, thus giving an overall picture through rich graphics. Built to perform and deliver as a Business Analytics software, IBM Cognos Insight can answer the business queries from each of these components.

Decision making that is based on large volumes of data can be a daunting task and using data intelligently, and converting it into an asset to reveal answers that help decision making easier is defined as Business Intelligence.

Transactional and operational reporting, scorecards, and analysis together form the basis of Business Intelligence. IBM Cognos Insight provides the basis of business intelligence through its features.

Leveraging on the cube design fundamentals of dimensions and measure for analysis, creating business reports and scorecards displaying variances are the core features and benefits that enable Business Intelligence capabilities. The drag-and-drop functionality or the smart-metadata import wizard provides value in reducing time consuming processes such as requirements gathering and depending on IT to build reports. This saves tremendous amounts of time in building simple to complex BI reports.

Questions, such as the following, can be answered intelligently using Performance Management methodologies , which take an organization's performance to the next level and ahead of the competitors:. Performance Management can be applied to any part of the Business world as it improves the decision making capabilities and gives insight into the day-to-day operations, strategic moves and future investments, streamlines processes, automates procedures and so on. The write-back functionality enables simulating business scenarios that demonstrate alternative business cases that eventually lead towards the right decision making for any organization.

From a performance management perspective geared towards the financial health of an enterprise, Financial Performance Management FPM plays a key role where CFOs are constantly engaged in maintaining a balance between reducing costs and increasing profitability from the customers and product bands.

Using IBM Cognos Insight, these metrics can be graphically, comparatively, or numerically displayed, and vital financial reports such as profit and loss statements, balance sheets, and income and cash flow statements to name a few, can be authored to give deeper financial insight into the functioning of the organization.

The simulation of alternate business cases using write-back technology is often used for creating budgets, plans, and forecasts.

IBM Cognos Insight is used as a Performance Management application and in areas such as Financial Performance Management FPM to increase revenue growth, lean operating expenses, shorten financial close processes and improving corporate planning, budgeting, and forecasting processes in many organizations.

Prior to the year , before the boom of social networking , if a product was shipped out we didn't receive a direct feedback from the consumer until after the product was a sell-out or a high percentage of returned items were received.

Five years later, it is a different situation as vast amount of data is collected, analyzed, and business decisions are made faster. These vast amounts of data can be used to measure patterns and be able to predict the outcomes based on past trends.

IBM Cognos Insight has the capability to connect to predictive data to analyze future outcomes. An example of a Customer Relationship Management case is a call center. Cognos Insight uses the predictive data to read the customers intentions before connecting live with the customer, thereby giving higher risk callers faster attention over other satisfied customers.

Not only does this improve customer service but reduces the risk of losing the customer by providing IBM Cognos Insight dashboards, based on the customers' behavioral patterns and past positive preferences. An alert system can flag disaster management and first-response entities to prepare the insurance companies better, thereby reducing the risk before the disaster arrives. Cognos Insight can act as a desktop application for various field experts who can input live data into their dashboard design workspaces and publish them into a centralized Cognos BI environment.

This collaborative effort between experts on the field and other organizations using IBM Cognos Insight and Cognos BI provides fast decision making capabilities. This in turn can minimize the stress on the government and the financial institutions with reduced insurance damage payouts.