Analytix Mapping Manager

Transcription

1 Analytix Mapping Manager Accelerate Project Delivery Powered by: Analytix Data Services LLC Product Overview

2 Data Mapping Challenges Manual Non-Standard Error Prone Time Intensive Cumbersome Versioning Lack of Visibility Data mappings are currently 100 % manual. Organizations are required to identify a mapping process every time a new project has commenced. Multiple resource manual entry of mapping information often leads to error prone mappings from miscommunications, overwrites, and data entry errors. Data mappings require multiple resources to work iteratively to define accurate mapping rules. Lack of traceability and audit controls. No visibility into mapping assignments and statuses. Difficult for stakeholders to manage and control the mapping process

3 Data Mapping Solution Enables Enable Automation Leverage Industry Standards Enable Collaboration Reduce Resources Enable versioning Enable Visibility Mapping manager enables system metadata lookup and transformation reuse. Mapping manager leverages industry best practices and mapping standards to create a seamless process which does not require resource retraining. Mapping manager allow many users to work and collaborate on mappings with out overwriting or confusing multiple versions. Fewer mapping analysts are required to manage and control mappings due to built in automation and efficiencies. Mapping manager contains version controls which enable better maintenance of mapping specifications. Mapping manager enables all stakeholders access to mapping lifecycle analysis to ensure prompt visibility into data integration projects.

4 Overview Enables accelerated and accurate creation of data mapping specifications Mapping analyst can begin to build accurate mapping specifications by leveraging built in automation to reduce error by eliminating multi-screen toggle and manual entry. Centralized repository to manage, audit, and version data mappings 1 ST enterprise software in SI industryto bring standards, governance, control, audit ability, traceability, versioning & impact analysis across all integration projects within the enterprise Metadata driven Mapping analyst can dynamically build mapping specifications using a drag and drop capability for system source and target metadata information. Automates baseline ETL job creation Enables clean and approved mappings to be handed off to ETL developers for quicker and more accurate implementation. Agnostic complement to existing ETL, profiling, modeling products, DB structures, vendor tools.

5 Product Fit in System Development Lifecycle Project Planning/Require ments Implement/Deploy Database design and modeling QA/TEST Data Cleaning and profiling ETL Define Mapping SPECS (MAPPING MANAGER)

6 USE CASES: Data Movement From Point A to B INTEGRATION PROJECT Data Warehouse/Data Marts Operational Data Stores ERP/Data Conversions (SAP,JDE, Oracle Applications, Etc.) Data Migration/DBMS Re-Platform (SQL Server To Oracle, Etc.) --- Master Data Management Metadata Management Data Governance & Data Quality BUSINESS PROJECTS Reporting Specifications HIPAA Code Conversion (Healthcare) ICD Code Conversion (Healthcare) Swift/ISO Conversion (Financial) Regulatory Compliance (SOX etc) Operations Consolidation Business Process Management Services Oriented Architecture (SOA integration) Data Federation

7 Value Proposition Centralized Repository for Data Mapping Management Streamlines, improves and accelerates the requirements, mapping, and ETL process Centralized Repository for Metadata Management Improves management of information assets and accelerates project delivery. Centralized Repository for Resource Management Accelerates the development process Promotes Cross Team Collaboration & Governance

8 Modules Integrated suite of modules Mapping Manager Resource /Project Manager MODULES System Manager

9 Key Capabilities by Module Resource Manager Add users to the system Create Integration Project System Manager Define, manage and share system information and connectivity specifications Mapping Manager Dynamically create mapping specs using Metadata Browser s Drag & Drop capabilities Allocate users to projects and define roles. Allocate Source & Target Systems to projects Allocate project resources and define roles Easily Load, Manage and Audit Project and SDM Easily load and share any project level documentation at the project level (e.g. SDM, Compliance Documentations, Project Plans, Release Schedules Define manage and share system documentation with multiple users (Data Dictionaries, User Guides etc). Automatically Load, Refresh, Leverage and share metadata (technical and business) via loading directly from Erwin files or automatically loading from DBMS system catalogs. Seamlessly manage metadata and profiling of source and target systems. Accelerate access to source systems connectivity specifications, documentation and metadata. Eliminate duplicate efforts from silo project teams and loss of knowledge capital due to attrition. Import existing Excel mapping specifications via import template/csv files Support one to many mapping relationships and ability to define derived columns; movement of heterogeneous data sets from /to disparate systems Ability to attach files such as advanced detail design specifications at the mapping level. Ability to attach and share files at the project, system, and mapping specification level. Ability to define encryption requirements for SOX, HIPPA, & PHI sensitive data Facilitates definition & governance of mapping standards

10 Value Added Capabilities MAPPING MANAGEMENT Quickly create & maintain accurate Source- To-Target Mappings (STM) Analyze Data Lineage Quickly document GAP analysis Quickly define accurate data requirements Quickly analyze and profile data. Manage & collaborate upon Enterprise Metadata (system & Database) METADATA MANAGEMENT Define Enterprise Reference & Code Definitions (SOX, HIPA, SWIFT/ISO etc Data Quality) Define & Maintain Valid Values (Governance & Data Quality) Create, Manage & Maintain Data Dictionaries (Metadata Management) Create & manage Enterprise Transformations (Data Quality) Quickly create reporting specification Data Preview Capabilities (SQL Editor)

11 Solution Implementation Process flow Users Project Sponsor Project Manager Mapping Analyst Tester Supported data sources/targets ETL Developer Mapping Manager Process 1. Auto Scan Sources and Targets 2. Upload existing excel source to target mappings 3. Manage, update, add new mapping rules. 4. Manage transformations 5. Export mapping specs and auto generate baseline ETL jobs Report outputs Mine repository for Custom reports Canned Reports 1. Project Report 2. System Report 3. Mapping Specification Report 4. Impact analysis Report Table Column Business Rule

12 Benefits Promotes Excellence in Mapping Standards (Metadata & Standards Based) Accelerates Delivery & Improve Quality. Governance. Best Practices. Standards. Versioning. Traceability. Audit-ability. Impact Analysis. Data Lineage Collaboration & Programmatic Excellence Cross Team Collaboration & Planning Integrates & Compliments ETL, SOA, MDM Tools.

13 Benefits Continued Streamlines, improves and accelerates the requirements and discovery process (Project Start-up) Eliminates all the inefficiencies of MS Excel and improves accuracy of requirements Better management of the change control process and impact to project delivery Promotes mature integration standards via management of data dictionaries and enterprise access to metadata. Allows for quick impact analysis of changes to operational systems Accelerates the requirements and discovery process (Sensitive Data Handling Requirements)

14 Benefits Continued Accelerates the development process Brings management and discipline to the QA & testing process Ability to view full data lineage reports without analyzing code. Allows management insight into the real status of the integration project & promotes accountability at all levels. Open Source repository Advanced integration analytics Ability to define and govern transformation rules (shared and re-usable) at an enterprise level Ability to run impact analysis on tables, columns and transformations rules

15 Benefits Continued Ability to run data lineage reports across the enterprise. Ability to create, maintain and consolidate data dictionaries for all enterprise systems Ability to monitor and review enterprise standards for naming conventions and federation of data. Facilitates Cross-team Collaboration & Governance

16 Benefits Continued Ability to assign data stewards to promote accountability for information quality Ability to manage and improve data security Ability to comply and track on compliance with regulatory demands Ability to manage and promote data consistency and user confidence in data quality

17 Application Efficiencies Driving ROI 1 Time savings from creation of all mapping specs. 2 Time savings managing mapping changes and versions 3 Time savings conducting re-work of Mapping, ETL Jobs and Test Cases 4 Time savings coordination, liason and project management of mapping and statuses (reduces burden on PM's and Coordinators) 5 Time savings with reusability of system analysis, document tracking and approvals 6 Time savings managing versions through releases 7 Time savings system access, data profiling and managing data dictionaries 8 Time savings managing transformations and code-sets at the enterprise & project level 9 Time savings resulting from standardizing upon 'industry' mappings (e.g. ISO, X.12 standards,etc.) 10 Time savings from training resources on excel based mapping spec templates 11 Reduced costs through less technical resource requirements to work in mapping 12 Reduced costs through fewer BA's and ETL Developers needed to deliver integration projects 13 Time savings resulting from automating ETL Jobs 14 Reduced project licensing costs for other tools such as: Erwin & Toad (SQL Query Tools) etc

18 Screenshots

19 Login Screen

20 Sample Mapping Specification Load

21 Module Screen Orientation Project & Mapping Browser Mapping Manager Module (Screen Orientation) Dynamic Integrated Mapping Data Grid Export & ETL Tool integration Capabilities Metadata Browser (System Catalog) Enables Drag and Drop Mapping capability Built in Versioning for iterative mappings DRAG & DROP to GRID 21 Technical & Business Properties Mapping Spec Details Tabs : Source Extract Rules, Update Rules, Testing Dispositions, File Documents, Workflow & Resource Status Assignments

22 Manage and Maintain Shared/Reusable Transformations Enterprise Transformations are shared, reusable across all projects and versioned and trackable throughout the change process

23 System Manager Module Scan and Manage System Metadata System Details:Manage share and collaborate upon all technical system specifications System Documents: Share and collaborate on system documentation System Environments: Automatically scan Metadata from heterogeneous DBMS systems and flat files across multiple development, test and production environments