1 Ministry of Forests and Range Understanding Key Applications: The “Big Picture” of application inter-connections Sponsored by the Information Management.

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Presentation transcript:

1 Ministry of Forests and Range Understanding Key Applications: The “Big Picture” of application inter-connections Sponsored by the Information Management Group Version 6.1, March 2008 Original Version - Summer 2004

2 Goal & Objectives Increase awareness of applications which support key MoFR business processes For each application, you will learn: Basic business process Linkages How the same data is shared & accessed among multiple applications Target user groups Critical data elements within database tables Key data dependencies between applications Note: application = computer system (e.g. FTA, RESULTS, SPAR, etc.)

3 Understanding the Applications Confused about how the applications fit together ? This presentation will help you understand how key applications are the building blocks for the Ministry of Forests and Range’s business!

4 Planning to Free-Growing Registration and Tenuring Planning Pricing Post Harvest Cutting Permit Application Road Permit Application Harvest/Roads Range/Rec Scaling/Billing Administration Management Resource Management Spatial Data / Registries (ILMB) Electronic Data Submission Authorization/Approval Risk Analysis Inspect/Enforce Evaluate Report Ministry of Forests & Range “Free growing” PlanActivity Notify Report Licensee, incl. BCTS

5 APT MAX FRMA FSP BCAS CLIENT EDRMS SCS BCTS Admin ESFCRS ECAS GAS GBS HBS WASTE CIMS ERA FREP IAPP RESULTS SPAR NSA Understanding the Applications’ Grouping LEXISFTA GENUS VRIMS FNIRS EMS CRM CAS FCS ARM CHIPS CONSEP L-TRACK EXCOR Other Applications (non-integrated and/or non-ministry) OSDB LRDW ILRR SeedMap TUT/ArcMap MapView Note: Grouping is for the purposes of this presentation only

6 Data Storage Corporate Integrated Production Database – sample tables Cut Block Table Forest Client Table Org Unit Table

7 Understanding Critical Data Elements What are critical data elements? Pieces of information that you must enter, update, & maintain correctly and in a timely manner Why are critical data elements important? They affect other applications Critical for improved, accurate, & reliable business decisions Imperative for government to meet legal requirements If you are working on a new or existing application, explore and research other existing applications What is a common critical data element shared between many ministry applications?

8 Electronic Submission Framework (ESF) Approximately Users

9 Corporate Reporting System (CRS)

10 Planning Applications Planning Applications include: Apportionment System (APT) MAX Performance Management Application (MAX) Forest Roads Management Application (FRMA) Forest Stewardship Plan Tracking System (FSP) BC Timber Sales Cost Accounting System (BCAS)

11 Apportionment Application (APT) Tenure Status Enforcemt Client

12 MAX Performance Management Application Approximately 1000 users Position # Incumbent Accounting

13 Forest Roads Management Application Spatial Roads Client Tenure Approximately 200 Users

14 Forest Stewardship Plan Tracking System (FSP) Approximately 300 Users FSP Licence # Client FSP Stocking Standards Boundaries District Stocking Standards

15 BC Timber Sales Cost Accounting System Salary Invoices Blocks & Roads Status Approximately 160 Users

16 Review of Critical Data Elements The FSP Tracking System is the only planning application that establishes critical data elements--specifically: FSPs and amendments Stocking standards Forest Development Units and identified areas

17 Sample Data Dependencies (cont.) FSP Tracking System Stocking standards must be entered into the FSP application to become available for use in RESULTS (e.g., assignment to openings) C&E personnel may not have the correct information for conducting inspections if FSP and/or amendments are not properly entered into FSP

18 Sample Data Dependencies RESULTS If ESF submission fails, data never enters FTA/RESULTS If ESF submission passes, but contains erroneous data, then poor data in FTA/RESULTS

19 Resource Management Applications Resource Management Applications include: Forest Tenures Administration (FTA) Log Exemption Information System (LEXIS) Genus Vegetation Resource Inventory Management System (VRIMS)

20 Forest Tenures Administration (FTA) Approximately 300 users

21 Log Exemption Information System Approximately 200 Users Application TM Client Validation Verification Formerly known as the “Log Export Information System”

22 GENUS Approximately 800 Users

23 Vegetation Resource Inventory Mgmt Sys. Approximately 20 Users Veg. Inv. Spatial

24 Review of Critical Data Elements Critical data elements established in the Resource Management Applications: Timber Mark Unique Business Key Identifier(s): Licence, Cutting Permit, Cut Block, Road Permit ID, etc. Area Road Length & Road Section Organizational Unit Management Unit ID Application, Permit and Package Numbers Dates of data entry are also important!

25 Sample Data Dependencies FTA, RESULTS, & WASTE Tenure data being reported on by RESULTS and WASTE must exist in FTA If cut block in FTA and Opening in RESULTS are not established in a correct and timely manner, the work of people using other applications is seriously affected If critical dates are not entered in a correct and timely manner, it is impossible to conduct workflow analysis

26 Resource Monitoring Applications Resource Monitoring Applications include: Compliance Information Management System (CIMS) Enforcement Action, Administrative Review and Appeal Tracking System (ERA) Forest and Range Evaluation Program (FREP) Invasive Alien Plant Program (IAPP)

27 Compliance Info. Management System Approximately 1000 Users Site ID Inspec. # Silviculture Client FSP Case Name Tenure status

28 Enforcement, Review & Appeal Information Approximately 400 Users AAC Tenure Inspec. ID Invoicing Client Outside Appeals AAC Tenure status Inc. report Penalty Invoicing

29 Forest & Range Evaluation Program Approximately 100 – 500 Users Tenure Silviculture Opening ID Client

30 Invasive Alien Plant Program (IAPP) Approximately 300 Users Map Display

31 Review of Critical Data Elements Critical data elements established in the Resource Monitoring Applications: Case ID – this links the CIMS case to ERA & visa-versa

32 Sample Data Dependencies CIMS & ERA Incorrect Tenure or Client data can lead to: the inspection being thrown out of court duplicate efforts for inspectors Incorrect data may mean high risk sites are not inspected or penalties not invoiced

33 Sample Data Dependencies FREP If RESULTS’ Net Area Reforested (NAR) and Gross Area data is not accurate, FREP analysis of the status of some resource values can be compromised If FTA’s Cut Block ID or tenure status is inaccurate, evaluations can be compromised

34 Pricing & Billing Applications Pricing & Billing Applications include: Electronic Commerce Appraisal System (ECAS) General Appraisal System (GAS) Harvest Billing System (HBS) General Billing System (GBS) Waste System

35 Electronic Commerce Appraisal System Approximately 4,500 Users Appraisal Tenure Client Submission Appraisal

36 General Appraisal System (GAS) Approximately 50 Users Tenure Appraisal Client Appraisal Stumpage

37 Harvest Billing System (HBS) Approximately 2,800 users Rate Tenure Client Scale Harvest Volume A/R Assessmt

38 General Billing System (GBS) Approximately 250 users Validate Client Invoice

39 WASTE System Scale Assessmt Client Cut blockBilling Approximately Users

40 Review of Critical Data Elements The critical data elements are established in the Pricing & Billing Applications: Harvest Volume X Stumpage Rate = $ billed Values Invoices Harvest History Information Appraisal Data

41 Importance of accurate & timely data HBS & GBS HBS is dependent on accurate and timely data in other systems, otherwise scale is unbilled. These are: CLIENT - for matching and correct Client Number FTA - for valid and accurate tenure info ECAS and GAS - for the processing of appraisal data and stumpage Poor data in either GBS or HBS impacts billing & collections

42 Sample Data Dependencies CLIENT, ECAS, FTA, GAS, & HBS: Appraisal data may be submitted by Licensee or BCTS into ECAS without the Timber Mark existing in FTA; However, Timber Mark must exist in FTA when district sends the appraisal onto the region in ECAS; If the Timber Mark in ECAS & FTA do not match, the appraisal data will not load into GAS; If the data does not load into GAS, HBS cannot produce an invoice for the Timber Mark; and, If HBS is unable to bill for scaled wood, liability is created, and revenue is delayed

43 Forest Regeneration Applications Forest Regeneration Applications include: Reporting Silviculture and Land Status Tracking System (RESULTS) Seed Planning and Registry (SPAR) Nursery and Shipping Admin System (NSA)

44 Reporting Silviculture & Land Status Tracking System Approximately 3,000 Users Tenure Submission Client Spatial Stocking Standards Tenure Opening ID Veg. Inv. Spatial Seedlot Opening ID

45 Seed Planning and Registry (SPAR) Approximately 500 users Tenure Opening Client Spatial Seed SeedLot Invoice SeedLot Spatial Request SeedLot

46 Nursery and Shipping Admin (NSA) Approximately 150 Users Seedling Requests

47 Review of Critical Data Elements Critical data elements established in the Forest Regeneration Applications: Seedlot & Vegetative Lot ID Seedlot Collection Source Seedling Requests Opening Location Actual Harvest Start Date & Completion Date Location of Planted Seedlots Reforestation Milestone Obligations Forest Cover Land Status Attributes & Location (e.g. NSR, Stocked, Free Growing Stands)

48 Sample Data Dependencies RESULTS Poor data causes post harvest information to be incorrect in FTA & CIMS, and missed in VRIMS C&E staff may have difficulties completing silviculture inspections if opening information (e.g. area of NAR, amendments) are not properly added to RESULTS Affects government and licensees who depend on Vegetative Inventory information Missing Standard Units & Actual Harvest Dates causes issues within RESULTS Poor data could cause an overestimation of available timber

49 Sample Data Dependencies (cont.) SPAR Poor client data causes incorrect invoicing information & billings for the wrong client NSA relies heavily on SPAR data. If data is incorrect in SPAR, this has significant effects on NSA

50 Sample Data Dependencies (cont.) NSA Incorrect or unknown seedling lift or shipping data could result in seedlings being mis-managed Could result in seedling disposal before they reach the planting site

51 Administration Applications Administration Applications include: Client Management System (CLIENT) Scaling Control System (SCS) Enterprise Documents Records Management System (EDRMS) BCTS Administration System (BCTS Admin)

52 Client Management System (CLIENT) Approximately 5,000 Users

53 Scale Control System (SCS) Approximately 250 users TM Scaling Client Scaling Site Inspec

54 Enterprise Document Records Management All employees have access on their desktop

55 BCTS Admin Client Upset Rate & Tenure Status & Owner Approximately 60 Users

56 Review of Critical Data Elements Critical data elements established in the Administration Applications: Client # & Client Location Scale Site Scaler Scale Site Inspections Electronic records

57 Sample Data Dependencies CLIENT An error in CLIENT data can have numerous repercussions (i.e. invoicing, enforcement actions, inability of client to submit data) SCS Poor data in SCS will impact invoicing in HBS EDRMS Unmanaged records can lead to lost records, confusion over versions, and increased search and retrieval time

58 Spatial Applications Spatial Data Stores Spatial Data Viewing & Editing OSDB LRDW MapView TUT/ArcMap SeedMap

59 Understanding the flow of spatial data

60 Review of Critical Data Elements Critical data elements referenced in the Spatial Applications: Spatial location of cut blocks and roads – this is established in LRDW Spatial location of Forest Development Units and identified area boundaries (from FSP) Spatial location of Openings for “cut in” on existing vegetation data Spatial location of forest cover Spatial location of seedlot collection source

61 Summary of Critical Data Elements

62 Understanding the MoFR Business Flow Registration and Tenuring Planning Pricing Post Harvest Cutting Permit Application Road Permit Application Harvest/Roads Range/Rec Scaling/Billing Administration Management Resource Management Spatial Data / Registries (ILMB) Electronic Data Submission Authorization/Approval Risk Analysis Inspect/Enforce Evaluate Report Ministry of Forests & Range “Free growing” PlanActivity Notify Report Licensee, incl. BCTS ESF APT SPAR MAX APT FRMA GENUS FSP BCAS ECAS GAS GENUS BCTS Admin FTA GENUS FTA FRMA HBS GBS SCS BCTS Admin SPAR RESULTS Waste LEXIS NSA CIMS ERA FREP LEXIS, FTA, Genus, VRIMS Client, EDRMS, SCS, BCTS LRDW, OSDB, ILRR, TUT/ArcMap, MapView, SeedMap CRS -10 yrs0 yrs20+ yrs

63 Summary Understanding system inter-dependencies is critical to the success of the business Correctly entering & updating critical data elements is key to data sharing between applications Timely entry of data is just as important as the data entry itself Understanding “The Big Picture” is just as important as knowledge of each application

64 IMG’s Business Information Centre (BIC) Do you need more information on a MoFR Application? Visit the Business Info. Centre Resource for 10 key systems Organized lists of all MoFR systems Links to systems documentation Links to training documentation gww.for.gov.bc.ca/his/bic/System/index.htm