Business Intelligence Software Requirements

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Business Intelligence Software Requirements – Assume that you have already identified and defined your proposed Business Intelligence (BI) user groups. What now? It’s time to choose a BI solution—if you haven’t already—and start deploying. Correct? Wrong. Just because you’ve identified which user groups or departments would benefit from being able to access BI content—that is, visualize data through interactive reports and/or dashboards—doesn’t mean you understand the unique needs of each user group.

Ensuring that the right data is delivered, with the right frequency and detail to the right people, is the only way to ensure that your BI implementation will effectively assist and support fact-based operational and strategic decision-making.

Business Intelligence Software Requirements

1. How often does each defined user group need to access BI content to effectively support role-based decision making?

Business Intelligence (bi) Software Market Size, Share| Analysis Report, 2031

Constantly traveling executives and field workers will require access to BI content via mobile devices. They will also often face severe time constraints, where the ability to quickly access and evaluate KPIs is paramount. The form (device) and environmental factors (where and in what context) in which BI content is accessed will also partly determine the most appropriate types of reports and data required. For more details, see our blog post – 10 Don’ts for Mobile Business Intelligence – paying particular attention to points two, nine and ten.

The majority of your audience, and therefore the majority of your BI users and user groups, are likely to be business users with non-technical backgrounds—task workers who use (rather than create) reports to improve performance and make good decisions. Perhaps only five to ten percent of users are technically, or more specifically, proficient in BI. Even fewer are likely to have the time to analyze—as opposed to consume—the data. Fewer will again analyze data as part of their core job function. Therefore, most users will require easy-to-consume information rather than the ability to analyze and perform ad-hoc queries on very complex data sets.

Knowledge of other business software – such as ERP and BPM solutions, as well as advanced use of Excel – will help provide guidance on the likely level of usage and technical know-how of each defined user group and its individual users.

Above all, don’t ask users to judge their own technical skills – who will openly admit to being a tech novice?

Business Intelligence (bi) & Analytics Software Solutions

Understanding the specific job function of each defined user group will allow you to understand how BI can be most effectively used to support their organizational tasks, and further, what type of BI content will be most appropriate and useful. For example, a sales team will need the ability to easily search customer records, compare current and historical customer data to create the most appropriate product or service to meet their current and changing needs. Conversely, executives and managers most often use BI to monitor business performance at a strategic – rather than operational – level, relying on high-level KPI reports.

How will your users benefit from BI? Think about it. If you can clearly articulate the need, you’ll also be able to decipher the type of questions they’re likely to ask to get that benefit. The type of questions likely to be asked will directly influence the format in which the information should be delivered and determine the most useful core functionality of the product (and thus what kind of training is required).

Will most users simply benefit from instant business monitoring through visual display of data through pre-built reports, dashboards or scorecards? Or will they require more substantial analytical skills?

Some will require reporting capabilities and the skills to perform ad-hoc queries, search for information, sort, filter, drill down, and switch between different data visualization methods to more easily identify patterns, shifts, and trends. Others may even require the ability to predict future events using what-if analysis capabilities.

Checklist For Business Intelligence Software Requirements

The key point to remember is this: Choose one integrated BI solution that offers the full breadth of the above features through a single, intuitive user interface. This gives you the freedom to provide your chosen user groups with whatever options and information their specific circumstances and your company’s require – without added cost or complexity.

Get the latest news from Yellowfin, as well as updates on data, analytics, AI, embedded BI and more. With everything from tips on how to use Yellowfin more effectively to detailed information on what new features the product has dropped, Y Files is definitely the place to be for BI lovers. As the name suggests, business intelligence involves making intelligent decisions using historical data for improvement. existing strategies and outperform the competition. Here is our recommended list of eleven key features of business intelligence tools that will help any organization make a huge impact on their customers and deliver a seamless experience. Get our BI tool requirements template What this guide covers Key BI features Industry-specific benefits Key survey information Key features Some key business intelligence (BI) features include: 1. Reporting With an intuitive platform, you can create and distribute reports on the fly without IT assistance. Automatically schedule reports to ensure delivery at recurring times. Set built-in notifications to distribute messages when you meet specific conditions. Use conditional formatting options to highlight cells in reports when a specific condition is met. Interactive report inclusions allow you to interact with different report views and filter, drill down, pivot, sort, resize rows and columns, add totals, and more. 2. Advanced Analysis Advanced Analysis allows you to perform complex data manipulation and analysis. It facilitates regression analysis to analyze the relationships between dependent and independent variables. If you’re interested in how a future decision will affect your business, you can run what-if analysis using past data to predict potential outcomes. What-if analysis tools give you an objective view of the risks and rewards associated with each decision. Modern BI tools also support scenario analysis to compare potential outcomes based on dynamic parameters. Perform statistical analysis using advanced features such as mean, median, mode, standard deviation, kurtosis, and more. Get our BI Tools Requirements Template 3. Data Visualization Beautiful and interactive data visualizations allow you to present complex information in simple formats. BI tools like Tableau and Power BI can create advanced and sophisticated visualizations that effectively communicate data. Create robust dashboards to analyze data trends. Executive dashboards provide leaders in your organization with real-time insight into your business in the form of charts, tables, summaries and other informational reports. Visibility and accessible visualizations help executives make smarter, faster and better decisions. Drill-down and drill-down capabilities allow you to explore multidimensional, hierarchical data. Additional built-in features such as scaling, sorting, filtering, tooltips, and highlighting allow you to interact with dashboards and extract valuable information. 4. Geospatial Analysis Find places on the fly in the map view with the geographic search function on the map. Location-based applications can take your information and transform it into graphical and cartographic displays, simplifying your geographic data. Find suitable accommodation according to your needs. At first glance, assessing which regions are performing better than others – and which require special attention – is much more manageable. Get our BI Tools Requirements Template 5. Mobile BI Mobile business intelligence refers to accessing data and performing analysis on mobile devices and tablets. Mobile BI provides access to KPIs, metrics and dashboards on the go so you can make smart business decisions. Add comments and share annotated mobile screens to facilitate collaboration between team members. It offers information panels optimized for mobile devices and interactive reports. 6. Data management Data management involves preparing, mixing, examining and cleaning data for analysis. Combine multiple datasets to create a new one. Explore data to uncover trends, patterns, characteristics and points of interest while describing them using visualization tools. Perform OLAP operations such as drill down, drill down, and slice and dice to facilitate deep data analysis. 7. Self-service analytics A robust BI platform should enable anyone in your organization to interact with data and gain meaningful insights, regardless of their abilities. Self-service analytics help you foster a data culture by making information accessible to everyone. The right BI solution creates a secure and managed environment to protect data and ensure integrity without compromising agility and innovation. 8. Data Integration The most powerful BI solution fails if it cannot connect to existing data sources. The right analytics platform provides optimized native connections for faster analytics, no matter where the data resides. You can search the database quickly without writing your own code. It should integrate seamlessly with your existing data strategy without investing in additional products that would disrupt your current data infrastructure. It makes it easy to connect to a variety of platforms, including ERP and CRM tools, eCommerce and big data solutions, cloud file storage systems, and more. Get our BI Tools Requirements Template 9. Predictive Analytics To thrive in the dynamic world of business, you need to make accurate predictions. Predictive analytics uses data mining, machine learning, statistics and artificial intelligence to analyze current and historical data to make accurate predictions. Create accurate forecasts based on historical data. Business Intelligence solutions can use prediction

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