Copyright 2016 Datalynx Pty Ltd. All rights reserved. Datalynx Enterprise Data Management Solution Catalogue

Transcription

1 Datalynx Enterprise Data Management Solution Catalogue

2 About Datalynx Vendor of the world s most versatile Enterprise Data Management software Licence our software to clients & partners Partner-based sales model (local & global alliances) Provide software & project support services

3 Datalynx Data Management Suite (DMS) Datalynx DMS is deployed as a Data Management Hub: Highly versatile technology configured to deliver a broad range of business solutions Operates within and across conventional and Cloud environments Consolidates, matches, correlates and analyses data from virtually any dataset Serves as a configurable integration platform replacing point to point solutions Is highly scalable to process very large data volumes Inbuilt security administration and job management Page 3

4 Enterprise Data Management Solutions Datalynx DMS On Premise Solutions 1 Data Analysis / Profiling 7 Business Intelligence / DW Solutions 2 Data Quality Management 8 Master Data Management 3 Data Migration: One-to-One No Transformation 9 Data Archiving 4 Data Migration: Multiple Source Datasets 10 Data Masking 5 Data Migration: incl. Cleansing & Transformation 11 Auditing and Fraud Detection 6 Data Integration 12 Big Data Integration

5 Data Analysis / Profiling Standard Inbound Interface Data Analysis / Data Profiling.. Analysis to understand the characteristics of a dataset including its structure, level of quality and business use. Typically run against a copy of a dataset. Can be run against a production system. Precursor to most projects, including data migration, data cleansing, data integration, MDM and BI. Provides source data metrics, data quality analysis and information to support subsequent planning activities. Sources Processing Target CRM Sales.csv files (Platform Independent) Business Rules / Profiling Specifications Data Analysis / Data Profiling Profiling Hub Repository Standard Outbound Interface Management Other Applications and Datasets Datalynx Data Hub Analytics Page 5

6 Data Quality Management Standard Interface Data Quality Management Solution for sustainable data quality management. Monitors and reports on data quality and automatically applies data remediation processes to address issues. Supports data governance initiatives as well as ensuring data that has been cleansed continues to maintain its integrity and is fit for purpose over time.. Sources Processing Target CRM Business Rules / Validation Specifications Sales.csv files Data Profiling Data Remediation / Cleansing Data Standardisation Staging DB Data Quality Standard Interface Management Other Applications and Datasets Datalynx Data Quality Hub Analytics Page 6

7 Data Migration: One-to-one - no transformation Standard Inbound Interface Data Migration: One-to-One. Migrating data from a legacy system without any transformation. The target database has the same structure as the source. Moving data to a new platform or database e.g. Mainframe to mid-range, DB2 to SQL Server, Oracle to PostgreSQL etc. Applications continue to work without the need for modification..csv files DB2, Sybase Mapping Rules / Specifications Data Mapping & Standardisation Validation Staging DB Standard Outbound Interface.csv files DB2, Oracle SQL Server, Mainframe, legacy dataset Datalynx DMS Migration Hub New System / DB Page 7

8 Data Migration: Consolidation of Multiple Source Datasets Standard Inbound Interface Data Migration: Multiple Sources requiring consolidation before migrating.. Migrating data from disparate legacy systems with standardisation & transformation processing. The target database has a different structure to the sources. Moving data to a new application database e.g. multiple legacy systems to one new system. 1 2 HR.csv files (Platform Independent) Consolidation Rules / Specifications Consolidated DB Business Rules / Specifications Data Validation Data Mapping Standardisation Transformation Validation Staging DB Standard Outbound Interface.csv files Target DB or Staging Tables.. Other Legacy systems / datasets Datalynx DMS Migration Hub New System / DB Page 8

9 Data Migration: Cleansing & Transformation Standard Inbound Interface Data Migration: Data Cleansing & Transformation. Migrating data from a legacy system, incorporating data quality enhancement and data transformation. The target database has a different structure to the source. Moving data to a new platform or database, commonly when implementing a new application. Source data quality is enhanced via data cleansing and standardisation to be fit for purpose and restructured for the target model..csv files DB2, Sybase Interim DB (Copy of source) Business Rules / Specifications Data Profiling Data Validation Data Cleansing Transformation Data Mapping & Standardisation Staging DB Validation Standard Outbound Interface.csv files DB2, Oracle SQL Server, Legacy system(s), legacy dataset(s) Datalynx DMS Migration Hub New System / DB Page 9

10 Data Integration Standard Interface Data Integration Configurable Data Integration Hub for data exchange between enterprise systems, external systems and adhoc datasets. Platform for ingesting, validating and standardising data. Provides configurable integration between disparate systems, to support data loading, extraction, synchronisation, updates etc. Source / Target Processing Source / Target CRM Sales Enterprise & External Systems API Integration DMS Plug-ins Business Rules / Specifications Data Validation Data Consolidation Quality Management Data Mapping Transformation & Standardisation Datalynx DMS Data Integration Hub Staging DBs Validation DMS Plug-ins Standard Interface API Integration EDW Other LoB systems Cloud / Enterprise and External Systems Page 10

11 Master Data Management (MDM) Standard Interface Master Data Management Multi-domain MDM solution utilising the Datalynx DMS Master Data Repository. Encompasses creation of master records and ongoing maintenance. Supports Analytical (BI) MDM and Operational MDM with synchronisation of master records (and associated transactions) across operational systems. Can be configured for any data domain, including Clients, Persons, Vendors, Products, Employees etc. Master Record Creation & Mapping Master Data Repository CRM Sales Data Validation Data Cleansing De-duplication Transformation Standardisation Transaction Update DMS Hub Repository Validation Standard Interface Management Enterprise Systems Datalynx DMS MDM Hub Analytics Page 11

12 Business Intelligence: DW and Analytics Standard Inbound Interface Business Intelligence: Data Warehouse & Analytics solution. Datalynx DMS scalable Rapid BI for configuring BI / Analytics / solutions. Establishing Enterprise Data Warehouses, Data Marts and Analytics platforms, incorporating data integration and optional data quality management, Master Data Management, Metadata Management etc. CRM Sales Enterprise Systems Master Record Creation & Mapping Data Validation Data Cleansing Transformation Standardisation Metadata Management Master Data Repository DMS Hub Repository Metadata Repository Datalynx DMS Data Hub Transaction Update Validation Standard Outbound Interface EDW / Data Marts Data Marts & Qlik, Tableau Business Objects SAS, Page 12

13 Data Archiving Standard Inbound Interface Data Archiving Rules-based selection, extraction of records / transactions for archiving from operational systems and data stores. Supports Data Lifecycle Management by extracting data from operational systems, migrating to an archive repository or read-only data store for subsequent querying and reporting. Includes optional source data purging. CRM EDW Source System Updates Assessment Specifications / Archiving Rules Data Analysis / Data Profiling Data Transformation Data Migration Process Results Hub Repository Standard Outbound Interface Archive Repositories Querying & Enterprise Systems Datalynx DMS Data Hub Archive & Page 13

14 Data Masking Standard Inbound Interface Data Masking Solution for creating working datasets with masked / obfuscated Personally Identifiable Data (PII) / Sensitive Personal Information (SPI). Establishing testing environments with masked data that retains all source system characteristics, such as referential integrity and data relationships. Production of de-identified datasets for publication to external stakeholders. CRM Sales Enterprise Systems Master Record Creation & Mapping (optional) Interim DB (Copy of Source) Master Data Repository Data Validation Standardisation Data Masking Process Results Datalynx DMS Data Hub Data Masking Business Rules Hub Repository Standard Outbound Interface EDW Testing Environments External Stakeholders.. Masked Data Target Environments Analytics & Page 14

15 Data Auditing & Fraud Detection Standard Inbound Interface Data Auditing / Fraud Detection Detailed analysis of master data (Clients, Vendors, Employees etc.) and associated transactions within and across systems. Business Assurance via automated, business-rule driven auditing of all transactions to verify compliance with business policies and process controls and early detection of erroneous and potentially fraudulent activities. Finance HR Master Record Creation & Mapping (optional) Interim / Consolidated DB Master Data Repository Data Consolidation Data Standardisation Data Analysis / Data Auditing Audit Business Rules / Validation Specifications DMS Repository Standard Outbound Interface Management Enterprise Systems Datalynx Data Hub Analytics Page 15

16 Big Data: Integrating Enterprise Systems with Hadoop Standard Interface Big Data Integration Sourcing transactional data from multiple enterprise systems and external datasets. Preparation and transfer to Hadoop. Providing data that has been standardised, validated and optionally deduplicated to a Hadoop repository for more effective and accurate analytics. Master Data Management (optional) CRM Sales Data Consolidation Data Transformation Data Standardisation Data Analysis Staging Files Standard Interface Hadoop Analytics Enterprise Systems Datalynx Data Hub Hive Page 16