Short Posts On Business Intelligence Software – BI uses business analytics, data mining, data visualization and best practices to help enterprises make more effective data-driven decisions. Our HR Analytics Tools Applying Business Analytics to HR deck demonstrates the implementation of business analytics to improve HR activities in an organization. This deck highlights the key challenges facing enterprises that lack effective BI solutions. Provides an overview of the benefits and practices of implementing BI. Covers key business intelligence trends and business intelligence architectural frameworks for modern enterprises. This deck describes the procedure for successfully implementing BI in HR operations. Provides details on how to compare BI tools and choose the best tool based on its key attributes. Finally, it discusses the roles and responsibilities of the BI implementation team, the budget for implementing business analytics in HR operations, and the impact of BI implementation on business operations before and after implementation. Download our template now.
Delight your audience with HR analytics tools, the use of business analytics in HR Powerpoint presentation slides. Increase your presentation threshold by implementing this well-prepared template. It works as a great communication tool due to its well-researched content. It also contains stylized icons, graphics, visual elements, etc., making it immediately attention-grabbing. This complete sixty-two slide deck is everything you need to get noticed. All slides and their content can be modified to suit your unique business environment. Moreover, other components and graphics can also be modified to add personal touches to this prefab kit.
Short Posts On Business Intelligence Software
Slide 5 : This slide presents Procedure to help company executives and business managers to make better and informed business decisions.
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Slide 6 : This slide showcases the importance of business analytics in enabling businesses to gain insight into what their competitors are doing.
Slide 7 : This slide showcases practices through which users can quickly derive core KPIs and patterns from data that enable actionable data-driven decisions. It covers BI implementation best practices such as getting buy-in from the entire organization, planning from the beginning, starting small, etc.
Slide 9 : This slide showcases the problems faced by organizations that do not implement business intelligence to facilitate better decision making.
Slide 10 : This slide presents Gap Analysis which helps organizations to understand the gaps so that they can build effective strategies to address these gaps.
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Slide 11 : This slide presents current trends in the process by which enterprises leverage technology to analyze current and historical data.
Slide 12 : This slide shows Organization Roadmap for Business Analytics Initiatives.
Slide 13 : This slide showcases the benefits of a technology roadmap for collecting, organizing and managing BI data and then making the data available for visualization.
Slide 15 : This slide shows various ways in which business analytics can be used in human resource operations.
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Slide 16 : This slide showcases the importance of people-driven business intelligence in transforming the scope of HR reporting and analytics.
Slide 18 : This slide showcases the responsibilities performed by various key stakeholders at the time of implementing business analytics in an organization.
Slide 20 : This slide presents the objectives to be achieved by the HR department of the organization by implementing Business Intelligence in HR operations. It includes key BI implementation goals such as ensuring continuity, effective leave management, etc.
Slide 21 : This slide presents Key Performance Indicators that should be tracked to monitor the effects of BI implementation in HR operations.
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Slide 24 : This slide shows Business Intelligence Requirements Analysis by the HR department of the organization.
Slide 26 : This slide presents the key requirements that HR should keep in mind while selecting a Business Intelligence tool for HR operations.
Slide 27 : This slide presents Comparison of Multiple HR Analytics Tools on Various Criteria to Select the Best HR Analytics Tool for the Organization.
Slide 29 : This slide presents the roles and responsibilities of people who will conduct implementation testing and make architectural, technical and strategic decisions.
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Slide 34 : This slide presents the workflow of ETL tools that allow companies to consolidate data from various databases into a single repository.
Slide 36 : This slide presents Comparison of Different ETL Tools to help the organization choose the best ETL tool for data integration.
Slide 43 : This slide shows a plan prepared to facilitate employee training on how to use the implemented Business Intelligence software.
Slide 45 : This slide presents Comparison of Current and Past HR Operations Scenario to analyze the impact of Business Intelligence on HR Operations.
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Slide 47 : This slide shows Budget prepared to forecast cash flow and allocate necessary resources for implementing business intelligence in the organization.
Slide 49 : This slide shows KPI Dashboard to track and monitor HR’s talent management.
Slide 62 : This is a Thank You slide with company contact details like office address, phone number etc.
Take advantage of our HR analytics tools. Applying business analytics in HR Powerpoint presentation slides to effectively help you save your valuable time. They are ready to fit into any presentation structure. Business Intelligence (BI) refers to the procedural and technical infrastructure that collects, stores and analyzes data generated by a company’s activities.
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BI is a broad term that includes data mining, process analysis, performance benchmarking, and descriptive analysis. BI analyzes all the data generated by a company and presents easy-to-understand reports, performance measures and trends that influence management decisions.
The need for BI comes from the concept that managers with inaccurate or incomplete information will tend to make worse decisions than if they had better information. Financial modelers consider this “garbage in, garbage out.”
BI tries to solve this problem by analyzing live data, which is ideally presented in a dashboard of quick metrics designed to support better decisions.
Most companies can benefit from implementing BI solutions; managers with inaccurate or incomplete information will tend to make worse decisions than if they had better information.
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These requirements mean finding more ways to capture information that is not already recorded, checking the information for errors, and organizing the information in a way that allows for broad analysis.
In practice, however, companies have unstructured data or data in various formats, which makes it difficult to collect and analyze. In this way, software producers provide business analytics solutions that enable the optimization of information obtained from data. These are enterprise-level applications designed to unify a company’s data and analytics.
While software solutions continue to evolve and become more sophisticated, data scientists still face a trade-off between speed and granularity of reporting.
Some of the insights emerging from big data leave companies scrambling to capture everything, but data analysts can usually filter down the sources to find select data points that can represent the health of a process or business area as a whole. This can reduce the need to capture and reformat everything for analysis, saving analysis time and increasing reporting speed.
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BI tools and software come in a wide range of forms. Let’s take a look at some popular types of BI solutions.
There are many reasons why companies implement BI. Many people use it to support functions as diverse as hiring, compliance, production, and marketing. BI is a core business value; it’s hard to find an area of business that doesn’t benefit from better information to work with.
Some of the many benefits that companies can experience by adopting BI into their business models include faster, more accurate reporting and analysis, improved data quality, increased employee satisfaction, reduced costs and increased revenues, and the ability to make better business decisions.
BI was created to help companies avoid the “garbage in and out” problem that results from inaccurate or insufficient data analysis.
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For example, if you’re responsible for the production schedules of several beverage factories and sales are showing strong month-over-month growth in a particular region, you can approve additional changes in near real time to ensure your factories can meet demand.
Similarly, you can quickly halt the same production if a colder-than-usual summer begins to affect sales. This manipulation of production is a limited example of how BI can increase profits and reduce costs when used properly.
Lowe’s Corp, owner of the country’s second-largest chain of home improvement stores, is one of the first major users of BI tools. Specifically, it relied on BI tools to optimize its supply chain, analyze products to identify potential fraud, and address bulk shipping fees from its stores.
Coca-Cola Bottling had a problem with its daily manual reporting processes: they limited access to real-time sales and operational data.
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However, by replacing the manual process with an automated BI system, the company completely streamlined the process and saved 260 hours per year (or more than six 40-hour workweeks). Now the company’s team can quickly analyze metrics such as delivery operations, budget and profitability with just a few clicks.
Power BI is a business analytics product offered by software giant Microsoft. According to the company, it enables both individuals and companies to connect, model and visualize data using
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