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Key Performance Indicators (KPI) Examples, Dashboard & Reporting

Key Performance Indicators (KPI) Examples, Dashboard & Reporting
As key performance indicators form the basis for business performance management, executives need to be able to access their sales, crm, finance, hr or it performance indicators in real time. Up to date through a mobile cloud service, without human interference. KPI's visualized according to best practices and accessible at any time with any Internet connected device: smart-phone, tablet, laptop or desktop. KPI Library is a crowd-sourced repository of Key Performance Indicator Definitions. Since 2007 members have suggested over 6500+KPI templates and examples, and participated in KPI benchmark surveys to create the worlds largest library for KPI information. The KPI Library database of 6500+ performance indicators and measures examples and templates is still growing on a daily basis.

http://kpilibrary.com/

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The Reason So Many Analytics Efforts Fall Short Given the role analytics has played in reshaping industries and rewarding innovative adopters over the last two decades, it is surprising how frequently we are asked: “Does this analytics stuff really work?” More often than not, the reason for the skepticism is prior efforts that did not produce the expected competitive advantage. Such skepticism led us to study the impact that analytics has had on our clients over the last 20 years. Our surprising finding: Efforts to adopt analytics upset the balance of power in the C-suite, and this shift often had a negative impact on analytics initiatives. Given the myriad other factors buffeting companies at any given time, the design of our assessment was intentionally simple. We only included companies that had implemented a major analytics initiative with an innovation or similar agenda.

Cloud Personal - Free Business Intelligence for Everyone Analytics Express is a self-service solution built on MicroStrategy's world-class cloud infrastructure. In just a few easy steps, you may connect to your data from anywhere, effortlessly discover insights hidden in your data using interactive dashboards, and then publish and share those insights with anyone. Access Analytics Express from anywhere using an internet browser or an iPad. Build dashboards by choosing from a wide range of interactive visualizations. You can drag and drop your data to customize your view, sort, pivot, drill and use aggregations to apply statistical analysis.

Lessons from Becoming a Data-Driven Organization Chapter 1 How the Data-Driven Organization Takes Shape The data-driven organization can be pictured as a pyramid that rests on a base of well-governed data, partnerships, and sustained commitment from leadership and employees alike. With that foundation in place, the organization can move to the next level, where it treats data as a core asset that is an essential element of strategy, fashions its data into commercial offerings, and uses it to deepen the engagement of employees and customers.

SharePoint Integration with MicroStrategy Recently, while working on one of my project assignments I got to work on the integration of SharePoint 2010 with MicroStrategy 9. The requirement was to pull the report from the MicroStrategy and show that in a web part. We had the MicroStrategy environment set up and also I had my SharePoint development environment set up.Here, I will show you how you can configure the SharePoint environment to pull reports from the MicroStrategy. When you contact MicroStrategy for their portlets, which can be plugged with SharePoint, you will get a .CAB file. This CAB file has two web parts in it 1) ‘MicroStrategy Master Web Part’ 2) ‘MicroStrategy Web Part’.

Matching technology: Optimize your HR department’s recruitment process C'est votre première visite ? Pensez à vous inscrire à notre flux RSS. Merci de votre visite. Vous pouvez également nous retrouver sur Twitter : In today’s digitized world, many of us are questioning the degree of human separation that our digital tools create, and we still don’t completely trust that they can complete a task better than human labor…and some cannot.

Automating big-data analysis Last year, MIT researchers presented a system that automated a crucial step in big-data analysis: the selection of a “feature set,” or aspects of the data that are useful for making predictions. The researchers entered the system in several data science contests, where it outperformed most of the human competitors and took only hours instead of months to perform its analyses. This week, in a pair of papers at the IEEE International Conference on Data Science and Advanced Analytics, the team described an approach to automating most of the rest of the process of big-data analysis — the preparation of the data for analysis and even the specification of problems that the analysis might be able to solve.

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