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AIS SharePoint & BI Presentation 24th july 2012

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AIS SharePoint & BI Presentation 24th july 2012

  1. 1. • • • • • • • •
  2. 2. • • • •
  3. 3. – Gartner
  4. 4. Continued • It is the application of knowledge derived from analyzing an organization’s data to effect a more positive outcome
  5. 5. Continued • It transforms data into knowledge
  6. 6. • − − − • − − BI is no longer a luxury afforded by a few large companies — it is now considered an essential part of the IT portfolio
  7. 7. • • •
  8. 8. • • • •
  9. 9. • • − − − − − − • •
  10. 10. • − − − −
  11. 11. • − • − • − • − −
  12. 12. • • • • • • • •
  13. 13. • • • • • • • •
  14. 14. Incremental Integration/ User Composite Value Solutions Platform Reuse Aggregation Empowerment Enablement
  15. 15. • Components • Developers • Security • Component • Business • Federation • Containers Metadata Users • Governance Composition Componentization Composition IT User Capabilities Semantics Requirements Experience
  16. 16. • Components • Office • SharePoint •SharePoint UI Clients Components Foundation • SharePoint Metadata • SharePoint Designer 2010 • Visual Studio IT Composition Componentization Composition Federation & User Capabilities Semantics Governance Experience Requirements
  17. 17. Microsoft SharePoint 2010 Ribbon UI SharePoint Workspace SharePoint Mobile Business Connectivity Services Office Client and Office Web App Integration InfoPath Form Services Standards Support External Lists Workflow SharePoint Designer Visual Studio Tagging, Tag Cloud, Ratings API Enhancements Social Bookmarking REST/ATOM/RSS Blogs and Wikis My Sites Activity Feeds Profiles and Expertise PerformancePoint Services Org Browser Excel Services Chart Web Part Visio Services Web Analytics SQL Server Integration Enterprise Content Types PowerPivot Metadata and Navigation Document Sets Multi-stage Disposition Social Relevance Audio and Video Content Types Phonetic Search Remote Blob Storage Navigation List Enhancements 21 FAST Integration Enhanced Pipeline
  18. 18. Corporate Web Self-service solutions/platform (Tail) Presence • Team dashboards Employee Portal • Divisional BI Portals Knowledge Management Portal Users Regulatory Compliance Repository Sales Division Portal Custom SAP Extranet R&D Division Business Front-End Collab Community Office Intelligence Team “ABC” Project “X” My Site Site Dashboard Site Site “Facebook” Corporate Departments Teams Empowerment
  19. 19. • • • • • • • •
  20. 20. 6: Delivering BI can be to data 3: The warehouse ismay be to the populated from business 2: Datadataareasenablesmirrored/replicated to warehouse improvement 1: Clients needaccessperiodicallydatacontinuousdirty contention 9: 8: 7: a process of warehouse population 5: Manual use accesstoolssources thecleanse data sources 4: Stagingmayvarioussimplify querydirectly reduce data sources may data required to data cleansing warehouse manages datafor analyzing and reporting Data Sources Data Warehouse Data Marts Staging Area Client Access Manual Client Cleansing Access
  21. 21. • • − − • • − − HR Finance Inventory
  22. 22. Call Center CRM Web Apps Finance Inventory Data Warehouse HR ERP
  23. 23. • − − − − − −
  24. 24. • − − − − − • Product Sales Finance Association
  25. 25. • • • •
  26. 26. • • •
  27. 27. • − − • − − −
  28. 28. Reseller sales data by: Sales quota data by: • Product • Employee • Order Date • Time • Reseller • Employee Quarter grain • Sales Territory Day grain
  29. 29. • • • • − • • • Tip: Format the key of the dimension as YYYYMMDD (i.e. 20101201) to make it readily understandable
  30. 30. • • • − − − The concept of Slowly Changing Dimensions was introduced by Ralph Kimball
  31. 31. Type 1 • • LastName update to Valdez- Smythe
  32. 32. Type 2 • • • SalesTerritoryKey update to 10
  33. 33. 1. 2. 3. ETL
  34. 34. Correlate Transform Dimension records source Y New record? N Y Type 1 Update changed change? column(s) N Y Type 2 Expire existing Insert new change? record record
  35. 35. Fact Transform source Lookup dimension key Repeat for each dimension key Y Lookup failed? N Insert new dimension record Insert new record
  36. 36. Technical Product Growth Architecture Selection Planning Business Dimensional Physical Deployment Requirements ETL Modeling Design Definition BI BI Application Application Maintenance Specification Development
  37. 37. • • • • • • • •
  38. 38. • • • • − − − − −
  39. 39. • • • − − Control flow and data flow will be introduced in the following two presentations
  40. 40. • • • • • • • • •
  41. 41. Authoring Reports • − − − • • − − 1 Express edition only supports local SQL Server Workgroup edition supports SQL Server and Analysis Services only 2 Not available in Web and Express Editions
  42. 42. • • − − •
  43. 43. Delivering Reports • − − − • − − • − − − 1 Not available in Workgroup or Express editions 2 Enterprise Edition only 3 Enterprise and Standard Editions only
  44. 44. • − − • − − − −
  45. 45. • • • •
  46. 46. What sales did we expect to achieve in North America for CY 2004 Q1? 5,005,000 Q1 Q2 N/A Q3 Pacific ry to rri Europe Te s le Q4 North America Sa Measures Dimension
  47. 47. • − − − − • − − The Data Mining component will be covered in a later module
  48. 48. • − − • − • − − − − Enterprise Edition only −
  49. 49. • • • • • • • •
  50. 50. Excel & PowerPivot Add-in Visio & Visio Services Excel Services Community BI Report Builder Chart Web Parts & Status Indicators PerformancePoint Services Reporting Services Self-Service & Organizational Personal BI BI
  51. 51. INSIGHTS Performance Chart Web Business Point Excel Services Visio Services Parts & Status Connectivity Services Indicators Services
  52. 52. • • • • •
  53. 53. Sparklines for better data visualization Interactive PivotTables
  54. 54. • upports server-side calculation and browser-based rendering of Excel workbooks • Centralizes shared workbook content across organization • Supports the following scenarios: − Display entire workbook as-is or display selected portions of workbook − Perform what-if analysis by accepting user input through parameters − Integrate workbooks with analytical applications
  55. 55. • • • •
  56. 56. • • Consolidates data from multiple data sources • Provides visualization of multidimensional data using a decomposition tree • Supports the following scenarios: − Monitor organizational progress towards established goals − Perform interactive browser-based analysis with analytical reports
  57. 57. Detailed KPIs & decomposition tree Visual scorecards integrated with SharePoint
  58. 58. Analytics Monitoring
  59. 59. • • • • • • • • • •
  60. 60. PowerView Excel with PowerPivot Predictive Analytics Embedded BI Familiar End User Tools S S SSAS R S BI Platform Hadoop On Windows Azure Connectors Hadoop On Windows Server Microsoft EDW Sensors Devices Bots Crawlers ERP CRM LOB APPs Unstructured and Structured Data
  61. 61. Better Storage Options • Database Engine • SMB support for database / backup files (Windows Server 8 Storage Spaces…) • New UTF-16 database character encoding support • Improved database table/index partitioning (15K max partitions) • Improved database FILESTREAM scale and performance • Improved database FILESTREAM access via FileTable • Spatial data type improvements • Analysis Services • Increased OLAP string store limit (4 GB) • New “Tabular Server Mode” adds VertiPaq engine support (same engine as PowerPivot) • New partitioning and paging support for VertiPaq Engine Improved Indexing and Search (Database Engine) • New columnstore index technology • Improved full-text search • New statistical semantic search • Automatic term extraction from content • Discover semantic similarities between documents 7
  62. 62. Security • Database Engine • New contained database support eliminates server login dependencies • DAC support for permissions and role membership • Improved database server roles support customization • Improved database default schema support for groups • VertiPaq Engine (Analysis Services / PowerPivot) • New role-based security model High Availability • Database Engine (AlwaysOn) • Integrated solution across shared and non-shared storage • Support for multiple secondaries • Support for multi-site failover clusters • Support for FILESTREAM • StreamInsight: New checkpoint support Resource Utilization • Database Engine • AlwaysOn: readable secondaries (reporting, backups, etc.) • Improved online operations • New local database runtime support in SQL Server Express 7
  63. 63. Manage Efficiently at Scale • Supportability • Windows Server Core support • Setup support for slipstream upgrade • Database Engine • AlwaysOn: New availability groups support application-centric failover • DAC Fx: Support for in-place database schema upgrades • New Database Recovery Advisor • Support for extended event tracing and distributed replay • Analysis Services • Sysprep support • Integration Services • New management / diagnostics tools • Reporting Services • Improved SharePoint Integration Governance • Database Engine: Improved Audit • Data Quality Services: Support for end user, rule-based data cleansing 7
  64. 64. Rich Modeling Capabilities • New BI Semantic Model • Unified model for reporting, analytics, scorecards and dashboards • Support for relational and multidimensional APIs • Model can be cached (VertiPaq) or pass through (DirectQuery) Self-Service Reporting, Analytics and Alerting • New PowerPivot release • Usability improvements • Improved DAX expression and query language • New Power View thin client in Reporting Services / SharePoint • Presentation-ready at all times • Visual, interactive design experience • Rich metadata-driven interactivity • New support for Data Alerts in Reporting Services / SharePoint • Defined directly within reports • Intuitive Alert rules • Alerts self-managed through SharePoint 7
  65. 65. Productive Database Development • Improved Transact-SQL Programmability • New ANSI-Standard support for results paging (OFFSET / FETCH) • New ANSI-Standard support for sequence generators • New THROW statement addresses RAISERROR limitations • Robust metadata discovery • Service Broker improvements • Improved deployment and upgrade with Data-tier applications (DAC Fx) • Improved SQL Server / SQL Azure parity • Support for more Transact-SQL constructs (e.g. sequence generators, spatial types / indexes) • Support for both schema and data • Improved Entity Framework ORM functionality • Code first support • Improved SQL Server support (Spatial types, stored procedures, table-valued functions) • Improved performance, scale and diagnostics • REST access via WCF Data Services and Odata • Improved StreamInsight CEP functionality 7
  66. 66. joann@microsoft.com William.Pearce@appliedis.com

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