1. November 2013 HEDA USER GROUP 2013 HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

2. Version 1.0 2 Staff Matters Kogie Moodley-Pretorius – Marketing Director – 1 February Corne Muller – Office Manager - 1 June Stanley Gricius – Operations Manager – 1 January Stephan & Stanley Williams - Married New position – Development, Training & Documentation - 2014 Clients WSU Project University of Venda Mangosuthu University of Technology IDSC web page (www.idsc.co.za)www.idsc.co.za Office Revamp 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

3. Version 1.0 3 Community Engagement Peer Data Sharing Project – PDS Web site with DHET HEMIS and Research DataWeb site Viability HESA FEFS Benchmarking Theology Faculties 9 X Student Bursaries Vessels of Mercy 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

4. 4 IDSC to be a preferred employer HEDA Dashboard and Cube Report use at institutions Planning Structures, Timesheets Central query repository where queries are maintained and shared Report Repository on web (SSRS, Cube reports, Widgets, Dashboards, Queries) Module documentation Modules via the “Cloud” and available as separate web applications Data Level Security on Cube reports ITS Views Warehouse, Student Success Monitor, Peer Data Sharing HEMIS Audit Tool for auditors, Private and FET presence 1 x Publication Client Communication via Skype and each client to visit IDSC for 2/3 days Team Foundation Services, SQL Server Denali, Project Crescent PlanningRequest OverviewNew Modules 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

5. 5 1443 Ad hoc requests during first 46 weeks of 2013 PlanningRequest OverviewNew Modules 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

6. Version 1.0 6 Application Requirement System – Mobi site Bugnet Time Tracker Performance Evaluation Scorecard - web Enrolment Planning Academic Entity Viability - web Programme & Subject Viability - web Staff Activity Monitor ITS Views Warehouse Staff, Subject & Curriculum Audit PlanningRequest OverviewNew Modules 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

7. Version 1.0 7 56% - Licenced 12 Clients 26 Modules 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

8. 8 Specifications Session Session 1Session 2Session 3Session 4 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

9. 9 Specifications Session Session 1Session 2Session 3Session 4 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

10. 10 Session 1Session 2Session 3Session 4 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

11. 11 Open Discussion Session Session 1Session 2Session 3Session 4 2013 IDSC NewsIDSC News 22013 OverviewClients & ModulesUG Programme HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

12. Copyright © IDSC Ltd.12 Research Publication data difficult to obtain Different legacy systems at Institutions No standard formatting or structure No referential integrity RIMS (Research and Information Management System) Common application platform supporting research administration process 23 Universities supporting the initiative Structured data Accessible by Institutions Data can be extracted via templates and exported to Excel Workshop between IDSC, RIMS and UJ Extracting data, integrating with HEDA RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

13. Copyright © IDSC Ltd.13 HEDA Data Import Warehouse XML Templates supplied by IDSC Templates for Excel reports to be exported The final templates and process will be tested in January, documented and communicated XML Templates supplied by IDSC Templates for Excel reports to be exported The final templates and process will be tested in January, documented and communicated Upload XML templates to RIMS Run/ Schedule reports Save as Excel Run/ Schedule reports Save as Excel Upload Excel files to HEDA server Placed in specific folder like Ascii files currently Upload Excel files to HEDA server Placed in specific folder like Ascii files currently Setup Research Data Import on HEDA Dashboard Select years to import Setup Research Data Import on HEDA Dashboard Select years to import Research data imported into HEDA Warehouse Integrated with current Dimensions like Staff detail and Department detail Research data imported into HEDA Warehouse Integrated with current Dimensions like Staff detail and Department detail Integrated Research data available in multi- dimensional Cube Reports Share with users Build own Cube Reports for Ad-hoc queries Integrated Research data available in multi- dimensional Cube Reports Share with users Build own Cube Reports for Ad-hoc queries RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

14. Copyright © IDSC Ltd.14 Demonstration RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

15. Copyright © IDSC Ltd.15 PDS Project was launched in 2006 by IDSC together with UJ to address the needs regarding benchmarking in Higher Education HEMIS data collected from DHET Enriched with some Research data Design and build a Multi-dimensional database Define a number of Indicators and the ‘Indicator Explorer’ Publically available to all institutions on the PDS web site www.heda.co.za/pds RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

16. Version 1.0 16 RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

17. Version 1.0 17 RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

18. Version 1.0 18 RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

19. Version 1.0 19 RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

20. Version 1.0 20 1.Replace the current PDS site with a HEDA Dashboard Dynamic design and layout Grids, Charts, Rich-text, Sections Latest Dashboard functionality Access to HEDA Explorer Documents Reports Links Tabs Latest Cube Report functionality My Cube Reports 2.Integrating PDS data with HEDA/Institutional data RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

21. Version 1.0 21 1.Default Dashboard Layout, design, indicators, information, links Cube Reports SQL Server Reports HEDA Explorer Documents Links RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

22. Version 1.0 22 2. Integrating PDS data with HEDA/Institutional data Benchmarking RIMSProcessCubePDSCurrent 1Current 2PivotsIndicatorsFutureNewPDS Integration RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

23. 23 The HEDA ITS Views Warehouse Module enables institutions using the ITS Operational System to obtain detailed data in an integrated manner from the following core processes: Curriculum, Applications, Enrolment Quotas, Qualification Enrolments, Subject Enrolments, Bursaries, Residence, Graduates, Staff, Budget and Actual Financials. SSRS Report Templates My Cube Reports RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

24. Copyright © IDSC Ltd.24 Single Sign-on 1Single Sign-on 2 RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

25. Copyright © IDSC Ltd.25 Single Sign-on 1Single Sign-on 2 RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

26. 26 This module is an easy web application which assists all staff in capturing their time spent on a particular HEMIS programme over a period of time. Data is automatically stored in the database and the quality of data is maintained through the process of checks and balances in the data entry. This data is also used for the HEDA Programme Viability module and assists in the generation of the HEMIS Staff ASCII files. Need to link Staff Member to Subject and Qualification RIMS & PDSITS ViewsSign-onTime Sheets HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

27. 27 A number of different dashboards can be created. Layout Security Widgets Detail data X 3 Navigation Filter DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

28. Copyright © IDSC Ltd.28 PurposeOverviewFunctionalityMy Cube Reports DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

29. Copyright © IDSC Ltd.29 PurposeOverviewFunctionalityMy Cube Reports DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

30. Copyright © IDSC Ltd.30 PurposeOverviewFunctionalityMy Cube Reports DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

31. Copyright © IDSC Ltd.31 PurposeOverviewFunctionalityMy Cube Reports DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

32. 32 Key Elements Business focus Intuitive user interface Metadata dictionary Training on data and self service applications Self-Service BI: Definition Self-service business intelligence is an approach to data analytics that enables business users to access and work with institutional information without IDSC’s involvement. The self-service approach lets end users create personalized reports and analytical queries Self-Service BI: It’s Not Just a Tool The BI tool vendors imply that if you buy their product, your business community will reap the benefits of self-service BI. Don’t kid yourself. There’s a bunch of work that has to get done before your business users can leverage this fabulous capability. Be realistic about how much work there is, and how much time and resources it’ll take to deliver great self-service BI to your user community Source: http://searchbusinessanalytics.tech target.com/definition/self-service- business-intelligence-BI ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

33. 33 Data Management Applications Reporting ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

34. 34 Audited HEMIS Data Student, Staff, Space Enrich with Finance & Other ITS Views Warehouse Student, Staff, Finance Operational Data Institution specific Research data (RIMS) PDS data ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

35. 35 ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

36. 36 VariableValue IDV005 DescriptionQualification type Definition LinkClick here for the Valpac definition. In UseYes Friendly NameQualification Type description Dashboard FilterYes Value Query SELECT DISTINCT QD_005 AS [Code], QD_005 AS [Desc] FROM HEDA_Warehouse.dbo.QUAL_DIM Base TableHEDA_Datastore.dbo.V005 SSRS List BoxYes TypeGrouping,Filter ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

37. 37 ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

38. 38 Tables Views ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

39. 39 SSRS Templates SSRS Dynamic Parameters Data Element definitions My Web Cube Reports Excel Pivot tables Dashboard layout Query building Formatting/Themes FAM, Viability, Enrolment Planning….. Quick Starts, Training Power Points Key Elements Business focus Intuitive user interface Metadata dictionary Training on data and self service applications ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

40. 40 What is the need of the clients? Will the clients use the self service capabilities? IDSC’s Focus Points Wizards Validations Dynamic Help Documentation Training? ConceptsOverviewData SourcesIntegrationMeta DataAutomationUser Friendly ViewsOtherClient need? DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

41. 41 The Enrolment Planning module assists institutions in the planning of future student enrolments, monitoring and reporting on planned vs. actual enrolments and automatic generation of the DHET Enrolment and Scarce Skills tables. Methodology for the six year projection:  Is based on a default first time cluster growth percentage  Uses historical throughput and retention statistics in determining the projected returning enrolments and graduates per programme  New planned programmes can be added and historic retention and throughput rates can be adjusted based on evidence of previous interventions DashboardsMy Cube ReportsSelf Service BIEnrolment Planning HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

42. 42 The data is presented in a dynamic data grid and various chart components and is structured as follows:  Financial data (direct related and indirectly distributed (Institutional Overheads)  Academic data (Student-related and Staff-related)  Ratios and Norms Academic EntitiesProgramme & SubjectStaff Activity Viability HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

43. 43 The main focus is at Module Level with the following data components:  Financial data direct related (tuition fees, government subsidies, other levies, salary expenses from academic staff timesheets)  Financial data indirectly distributed (owner department – institutional overheads and other income and expenditure)  Academic data (student and staff related)  Ratios and Norms Programme Level data is provided as a summary of all the Module Level data Academic EntitiesProgramme & SubjectStaff Activity Viability HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

44. 44 Academic EntitiesProgramme & SubjectStaff Activity Viability HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

45. Copyright © IDSC Ltd.45 PurposeData SetsModulesStatussesFunctionalityAudit Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

46. Copyright © IDSC Ltd.46 PurposeData SetsModulesStatussesFunctionalityAudit Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

47. Copyright © IDSC Ltd.47 PurposeData SetsModulesStatussesFunctionalityAudit Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

48. Copyright © IDSC Ltd.48 PurposeData SetsModulesStatussesFunctionalityAudit Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

49. Copyright © IDSC Ltd.49 PurposeData SetsModulesStatussesFunctionalityAudit Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

50. Copyright © IDSC Ltd.50 PurposeData SetsModulesStatussesFunctionalityAudit Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

51. 51  Show progress towards reaching targets outlined in the institutional goals whether quantitative or qualitative  Allows for a “bottom-up” approach where the actual measurement occurs at the lowest level and then summarised upwards. Each level entry is given an importance weighting which is used in determining the weighted score.  Once institutional objectives have been specified and allocated to specific managers within the institution, the HEDA Scorecard will produce individual plans for managers.  The managers can then monitor their progress towards the attainment of their goals – both for those responsibilities assigned by management and other responsibilities or personal development initiatives that need to be tracked  Provision is made for objectives to be prioritised for performance management purpose by incorporating an order and a weight. The order of priority and the weight attached to an objective will be agreed between the respective manager and staff  There is provision for self-evaluation by the staff, provisional evaluation by the manager and a final agreed evaluation Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

52. 52 The Cohort Tracking module is a great tool to track student mobility and provides an analysis of student tracking from a management and programme management perspective. By using Cohort Tracking, institutions are able to evaluate specific cohorts. The tracking also allows for the meaningful evaluation and interpretation of data, which ultimately defines qualitative future planning and decision-making. The Cohort Tracking module has two distinctive processes: Management (a number of predefined cohorts can be identified such as student numbers, campus/faculty etc. The predefined cohort datasets is automatically generated during a data refresh process and accommodates benchmarking between other institutions in terms of retention, throughput and dropout rates. Programme Planning is based on HEMIS or Operational data. The notion of first time cluster enrolment which is different to first time entering enrolment forms the basis of the programme planning perspective. Reporting is available which indicates to a programme owner the detail composition of a cohort in terms of retention, throughput, dropout and progression statistics. Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

53. Version 1.0 53 Interrogator supports an institution in their annual data management process and specifically the HEMIS data submission to the DHET. It further assists the HEMIS staff member(s) in: Submitting a submission on time Validating that the data is correct (Valpac error queries) Distributing records in error to the appropriate personnel/ departments to be rectified Currently a HEDA Module installed and running at the Institution BackgroundCloud ServiceConceptFeasibility Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

54. Version 1.0 54 Interrogator Cloud service Aimed at Institutions looking for a ‘lite’ version No Interrogator installation at Institution necessary No HEDA installation at Institution necessary No local resources/ hardware necessary Lower cost of ownership Minimum setup required, depending on level of usage BackgroundCloud ServiceConceptFeasibility Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

55. User responsibility Version 1.0 55 Distributions Upload Interrogator Validate & Process Email Hierarchical structures BackgroundCloud ServiceConceptFeasibility Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

56. Version 1.0 56 Is there a need for a service like this? Which Institutions will make use of this service? BackgroundCloud ServiceConceptFeasibility Audit ApplicationsPerformance EvaluationCohort AnalysesInterrogator Pro HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

57. 57 IDSC Business Model What do you pay for Proposed Changes in the Way we do business Discussion Points There is a reason why we need to change the way we are doing business! ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

58. 58 1443 Ad hoc requests during first 46 weeks of 2013 ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

59. Version 1.0 59 “to serve with Integrity and provide Integrated Institutional Planning and Reporting Tools for the Education Sector through Innovative Solutions” To be a sustainable company who focuses on client satisfaction through excellent support and innovative and cost effective products Sustainable products Client service Innovation Impartiality Integrity Reliable Loyal Focused on a partnership and based on a “win win” strategy ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

60. 1. Client Support (66%) 1.1 HEDA Module Maintenance Maintenance Enhancements Bug fixes 1. 2 User Support Ad hoc queries Report/dashboard building Data Imports… 1.3 User Training Training material Training sessions Help documentation 2. New Developments (6%) New HEDA Modules 3. Consultation (8%) Additional Support needed by Client 4. Other (20%) AdministrativeMarketingCommunity Challenge is to apply our effort at the same time to all 4 processes without impacting the quality and outputs There seems to be a need that IDSC must take on a more prominent role as Business Analysts ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

61. 1. HEDA Module Maintenance 60% 2. User Support 30% 3. User Training 10% 1.Fixed Annual support hours wrt Support and Training per licenced HEDA Module 2.Base HEDA Module price (Impact of between +6% and -6% over 12 clients) HOURS UJ VEN CPUT WSU TUT UNISA NWU UCT MUT UOFS CUT UL User Support 1751121291671811071757947151107115 User Training 664248636840663017574043 % Diff Fee -3%3%-1% 3%-2%1%-2%-6%2%6%3% ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

62. 62 Realign Resources to fit Processes Allocate time for IDSC to do technical training Work within a schedule/Project Plan After Hours Support = 2.5 * Support Hour Manage the Role of the Institution during the Support Process Manage the period and number of unfunded HEDA Module implementations Manage client visits Implement a process so that the client can monitor support hours Implement a Satisfaction Survey – (In-time, In-spec, Value added, Overall rating) Proposed Changes 1Proposed Changes 2 ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

63. 63 1.Discuss Open Source Modules 2.Discuss Cloud Solutions 3.Consultation with User Group in determining annual licence fee increase 4.All clients pay on same date – 1 st March 5.Notion of Post level 6/60 is not relevant anymore 6.Major Developments to be Approved by User Group Proposed Changes 1Proposed Changes 2 ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

64. 64 Page 1Page 2Page 32014 Priorities2014 Priorities cont ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session 1.2014 Priorities 1.Cube Reports (Data level security, Sharing interactively) 2.Dashboard (Default filters, default dashboard, indicator images, Bells & Whistles)Repository of objects (Dashboards, queries, widgets) 3.RIMS 4.PDS Website (Dashboard, Integration, Single Sign-on) 5.ITS Warehouse – IDSC Warehouse 6.Enrolment Monitor/Planning 7.Timesheets/Workload 8.Self-service BI (Interface) 9.Curriculum, Subject Audit (Integration and enhancements) 10.Performance Evaluation Scorecard 11.Viability/ Finance user group 12.Business Plan Generator 13.Central Applications 14.Data Mining 15.Interrogator Cloud Service

65. 65 Page 1Page 2Page 32014 Priorities2014 Priorities cont ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session 1.Bursaries

66. 66 Page 1Page 2Page 32014 Priorities2014 Priorities cont ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session 1.aa

67. 67 Staff Time Sheets UJ Staff Schema’s RIMS Data Dashboards New Widgets Enhancements Enrolment Planning – Web Business Plan Generator – Web Interrogator Pro Cloud Service Page 1Page 2Page 32014 Priorities2014 Priorities cont ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session

68. 68 Cube Reports Data Level Security Mobile Platform Viability Performance Evaluation Scorecard Page 1Page 2Page 32014 Priorities2014 Priorities cont ContentsReasonIDSCProcessesClient SupportChangesDiscussion Points HomeWelcomeData Management & AdminReportingDecision SupportMonitoring & EvaluationOpen Session