iway Software: Information Management and roadmap Transforming data into business value

Transcription

1 iway Software: Information Management and roadmap Transforming data into business value Fateh NAILI Enterprise Solutions Manager August, 23 rd 2018

2 Agenda Introduction and Context Information Builders Solutions Data Integration Data Quality Master Data Management Roadmap Wrap-up

3 Introduction and Context 3

4 Information Builders Focused on Modern Challenges and Opportunities 4

5 A complete data & analytics software platform Intelligence BI Portal Embedded InfoApps Mobile Predictive Analytics Infographics Search Performance Management Natural Language/ Narrative BI Write-Back High-Performance Data Store Data Discovery Reporting Dashboards Location Analytics Scheduling and Alerts In-Document Analytics Integrity Integration Data Quality Data Governance Master Data Management Batch ETL Real-Time ESB Hadoop-Based Legacy Systems Applications Relational/Cubes Big Data IoT Columnar/In Memory Unstructured Social Media Web Services Trading Partners

6 Omni Data Hub Modern Data Management platform to generate trusted data Data Accessibility Data Quality Problems Data Inconsistency Multi-sourced Data Structured & Unstructured Big Data IoT/Machine Generated Accessible Integrated Real-time Accurate Consistent Governed Compliant Trusted 6

7 A well defined implementation approach Data Distribution Analyse Propagate Communicate Data Mastering Match Merge Build Data Governance Data Quality Standardise Enrich Improve Manage Control Share Data Integration Data Analysis Connect Orchestrate Explore Profile Get Know 7

8 Data Integration 8

9 Introduction to iway Service Manager iway Service Manager Unique and powerful Integration Platform Real time and Batch Processing Compose, Orchestrate and Automate complex integration processes Drag and drop interface for pre-built components Expose processes as reusable Services (Web Service, REST, API Management ) 300+ Pre-Built Adapters Bi-directional Data, Application, Industry, etc Use any messaging infrastructure 9

10 Key features iway Service Manager Open standard-based solution Backbone for all data processing Data Quality, Master Data Management, Data Governance, WebFOCUS can all be stacked on top of the engine for complete data access. Native XML and JSON processing Automatically transform A2A and B2B messages (IoT) Complete end-to-end security authentication, authorization, encryption Full API support Generate and consume API/REST Cloud and on-premise deployment 10

11 Tools and components iway Service Manager Operational Time iway Operational Tools iway Web Console IWay BAM IWay Sentinel BI Application BPM Application Event Driven Real Time Processing SWIFT Adapter iway Service Manager MySAP Adapter Run Time Web Service Application iway Process Flows Oracle Adapter Application Server REST, API Mgt, Web Service Routing Transform Security XA CICS Adapter iway Adapter Framework. Design Time iway Integration Tools iway Designer iway Transformer iway Application Explorer Applications, ERP, CRM, Mainframe Data, Applications and Transactions Databases, Data Warehouse, Files, Excel CSV, XML SWIFT, HIPAA, EDI Formats iway Repositories 11

12 Data Quality 12

13 Introduction to Omni-Gen DQ Edition Omni-Gen DQ Edition Business based solution designed to optimize the integrity of information throughout the enterprise Packaged with comprehensive, fully customizable business rules and a portfolio of libraries Collaboration Well defined approach DQ Profiling DQ Rules DQ Monitoring Remediation 13

14 Components Omni-Gen DQ Edition Data Quality Remediation Omni-Gen Governance Console Data Quality Workbench Data Quality Monitor Administration Auditing Monitoring Governance Source Systems Omni-Gen DQ Server Downstream Systems Applications, ERP, CRM, Databases, EDW Internal Merge Remediation Service Manual Override Service Mainframe SWIFT, HIPAA, EDI Formats Files, Excel CSV, XML Cleanse Service Match Service Merge Service Omni-Gen DQ Repository 14

15 Data Quality Workbench Profile the quality of the data Data profiling shows the presence of errors with Metrics Information Profiling Features include Patterns/Masking Custom Business Rules Extremes Quantities Frequency Analysis Foreign Key Analysis Localization Charting Grouping/Aggregate Drilldown/Interactive Displays Most organizations say data quality issues are detected when reported by employees, customers or prospects. Fewer than 50% of companies conduct proactive data audits to discover data quality issues. 15

16 Data Quality Rules Implement Data Quality rules Data Cleansing and Standardization Data Enrichment Data Scoring Internal/external reference data Matching / Merging Probabilistic and Deterministic Levenshtein distance Golden record John Smith y=f x Id column for Names Alter Format Remove titles Strip Titles Parse Names Guess Name Surname Prepare out values Column Assigner Remove columns Alter Format 16

17 Data Quality Monitoring Analyze data overtime Web-based Business tool Allow organizations to monitor and track their data overtime and map them to the business objectives and risks Defined by user and relevant to data context DQ Key Performance Indicators Complex computation Dimensions and Measures 17

18 Data Quality Remediation Manual correction Operational Dashboard for Data Stewards and Data Supervisors Provide an ability to correct data Cleansing, Matching, Merging, Unlinking Improved reporting, filtering and searches Track data quality issues in real time End-to-end audit trail of all data changes Workflow interface 18

19 Data Quality Firewall Extending Data Quality Avoid dissemination at root (Upstream vs Downstream correction) Extend the reach of your Data Quality Initiative Create a firewall protecting your systems from bad data 19

20 Master Data Management 20

21 Introduction Omni-Gen MDM Edition Top-down approach centered on business problems Collaboration between the business and IT Simplifies data integration and mapping of source systems Pre-packaged mapping documents Automates key steps in the Data Hub processing data integration, Data Quality and data mastering Facilitates the implementation of data warehousing and data mastering Advanced business user interfaces Master view, source and instance records for full resolution and 360 view 21

22 Key Benefits Omni-Gen MDM Edition Cost/Rapid time to value couple of weeks VS couple of months Shorter development = smaller development costs Simplify Data Warehousing, Master Data or Data Quality in a box Data Integration, Data Quality, Data Governance, Mastering Automation - Model Driven Development Top down development vs. bottom up Flexible Deployment Cloud, departmental and enterprise deployments Data Ownership Provide the LOB tools to own the data 22

23 Omni Designer Omni-Gen MDM Edition Model driven and multi-domain development framework Generate the various components part of your MDM hub Data Model configuration Data Quality setting Reference Data setting Workflow customization editor 23

24 360 Viewer Omni-Gen MDM Edition 360⁰ view of Data Subjects. Centralised view of all attributes belonging to a mastered record. View all instance information and full history. 24

25 Life cycle Omni-Gen MDM Edition Cloud-based systems Legacy assets ERP applications Business partners Cloud-based systems Downstream applications Data warehouses Business partners 25

26 Roadmap Data Integration 26

27 Product Management direction iway 8 Simplicity, Usability & Accessibility at all levels Optimized the automated deployment and maintenance All-in-one Application Projects supporting Team Work Micro-services and API Management platform Blockchain support 27

28 Simple and Streamlined Design Time iway 8 Modern Look & Feel Development environment Rich Object Pallet enables quick access to components Intuitive action based approach Just tell us what you want to do Remote component access Shared Configurations Searchable variables Native JSON support 28

29 API Management and Micro services iway 8 Construct APIs based on RAML or by user interaction Supported security model includes Oauth, IP lists, and others API Management with defined SLAs and versions * API Analyzes based on usage, application, and other measures * Enables Micro services architecture * 2018 Q3 29

30 Application Project iway 8 Application Project provides all-in-one packaged approach for developing, deploying and running your application All components within project are included in final application Apply different configurations to the project Expedites deployment process 30

31 Current Projects iway 8 Swagger support for API Design API Management and Monitoring Versioning Service Level Agreements End-point performance and execution monitoring Library view of available services in the environment Ongoing addition of new components (eg: Twitter, Splunk, ) Amazon Connectors (S3, Dynamo DB, Redshift) IoT update includes MQTT, zeromq, CoAP (Constrained Application Protocol) Big Data connectors (Kafka, HDFS, Avro) iit Process Flow debugger (based on the current line debugger) And much more 31

32 iway Service Manager 8.x Current Projects iway Applications running on Raspberry Pi3 providing great portability Logs written to USB storage upon connection for easy application debugging Easy to manage black box implementation Clustering few together enables parallelism Complements IoT enabling projects 32

33 iway Service Manager 8.x Roadmap Release 8.0 Dec, 2017 New L&F Intuitive Design Environment Local and Remote Component Library New process flow palette & new objects Action/Verb approach for process configuration API Design via RAML Native JSON support and new services Blockchain (Fabric) Python/JS support as part of process flow Release 8.0 SP2 - Fall 2018 Swagger Support API Management and SLAs Docker support Amazon connectors Big Data connectors Updated ism Console Management/Monitoring via Explorer Release 8.0 SP1 Spring 2018 MQTT and Queues update JPATH Builder Blockchain (Ethereum ) Twitter, DynamoDB AD/LDAP Authentication Updates SWIFT/HIPAA updates 33

34 Roadmap Data Integrity 34

35 Omni-Gen Initiatives 2018 Roadmap Workbench Additions Remediation rule builder and case management Q Matching/Merging Rules Q Rule Intelligence - Q Hierarchies/Groups Consumption View Builder Q Omni Edition Additions Omni Personal Edition Q Omni-Customer Edition Q Omni-Supplier Edition Q Omni-Item Edition Q WebFOCUS reports for Omni-Gen Customer and Supplier Q

36 Omni Verticals Jumpstart Out of the Box Omni-Customer, Omni-Supplier, Omni-Item Data Models (Customer, Supplier, Item) Built in reference data (code sets) Integrated master and transactional data Sample table data, load plans & groups Data Quality plans and mastering rules Competitive Distinction Persisting and linking important transactions Consumption WebFOCUS Artifacts Out-of-the-box mastering and remediation 36

37 Omni Verticals Built-in Consumption Sales Improvement Compare total sales dollars and product units year over year Order Accuracy Summarize all sales orders with returns greater than 5 product units, or perfect percentages less than 80%, or on time delivery less than 70* by year, or fill rates less than 95% by week Product Quality Summarize all sales order with returns by total number of returns by product group by week 37

38 Omni-Gen Consumption View Builder 38

39 Thank you! Fateh NAILI Enterprise Solutions Manager