Business Intelligence and Decision Support in Recruitment
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Business Intelligence and Decision Support in Recruitment
- 1. BI and Decision Support What is it and how can it be used in modern Recruitment? daXtra
- 2. What is B.I.? Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analysing Business Data – typically for the purposes of reporting, data mining, business performance management, benchmarking and statistical and predictive analytics. (Wikipedia) daXtra
- 3. Why do we need it? “People want access to business information regardless of where it lives.” “The next quantum leap in productivity will come from the use of IT systems that analyse structured and unstructured data... It will contribute to an improvement in all aspects of business operations.” Gartner daXtra
- 4. B.I. uses technology and applications to analyse mostly internal and mostly structured data and business processes Marketing? (online, off-line, the website) Corporate Email Accounting and Finance applications Candidates File Shares Clients Vacancies Placements Leads Contacts RMS daXtra
- 5. Competitive Intelligence is done by gathering, analysing and disseminating mostly external information and data, structured or unstructured daXtra
- 7. Clients
- 8. Contacts
- 9. Jobs
- 10. Financials
- 11. Sales-related
- 13. Organisations
- 14. People
- 15. Jobs
- 16. Financials
- 17. Background
- 18. NewsDSS Analyses Reporting Forecasts and Predictions Data Mining daXtra
- 20. By 2012, business units will control at least 40% of the total budget for business intelligence.
- 21. By 2012, 33% of analytic applications applied to business processes will be delivered through application and data mashups.daXtra
- 22. Information and application mashup dashboard (Person) daXtra
- 23. Information and application mashup dashboard (Company) daXtra
- 25. Do you trust your data? Good decisions can only be made with fact-based Business Intelligence tools, harvesting reliable data consistently from both local and external sources, and strong searching, reporting and analytic tools to run against the data.
- 26. What data is good data? A major new independent report based on detailed feedback from 2,665 respondents reveals that data quality is the most common problem in BI deployments
- 28. Sample tools and technologies daXtra
- 30. Ensure your data is up to scratch – there is nothing to analyse or report on if the data is poor or unavailable
- 31. Tender a number of vendors for additional services and decide based on quality over cost
- 32. Factor in support and development costs when considering bespoke or open sourcedaXtra
- 34. Consultant KPIs – have all assigned requirements been filled, if not then Why
- 35. Marketing Reports – Advertising cost vs Placement revenue, website analytics
- 36. New Business – Companies that your candidates have worked for that are not on your databasedaXtra
- 37. Questions and suggestions ? daXtra
Editor's Notes
- Business data and information resides in disparate data repositories, commonly disconnected and disassociated from each other, making it cumbersome and time- and resource-intensive to retrieve the relevant pieces of information, mash them together and cross-reference them against each other in a timely manner.
- DSS is an application that can on demand retrieve data from various in-house and external sources, mesh it in a way that is requested by the User, in order to form specific business reports.
- A typical scenario is bad business processes, poor data management, and out-of-date or under-utilised tools. Fixing these problems takes money, time and effort, for which investment is extremely difficult to justify, but the rewards can be great