Task definition PROJECT SCENARIOS. The comprehensive approach to data integration

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1 Data Integration Suite Your Advantages Seamless interplay of data quality functions and data transformation functions Linking of various data sources through an extensive set of connectors Quick and easy programming of processes with the interactive Workflow Designer High transparency, because processes can be understood by non-programmers as well The comprehensive approach to data integration The market environment of many companies is characterized by ongoing, sometimes drastic changes in almost every business sector. The working methods and procedures of potential customers and competitors are changing ever more rapidly. The causes are globalisation, economic and ecological crises and a rapidly changing legal situation. Companies are therefore required to react to such challenges more and more flexibly. This will only succeed if all the critical business processes and the underlying IT infrastructure have been appropriately optimized and enable the end user to overcome new challenges quickly and simply. The basis for almost all the decisions made in a company is the company data. This is stored in a whole range of IT applications. This data must be made available to the individual technical and management levels quickly, flexibly and in a high quality. The Uniserv Data Integration Suite offers comprehensive data integration functions for this demand. Process steps for securing a consistently high data quality are easily embedded in the data integration workflows. Task definition The Uniserv Data Integration Suite addresses the following project scenarios and the associated task definitions: PROJECT SCENARIOS Data Quality Initiatives Data Integration Data Migration and Consolidation Data Synchronisation

2 Project scenarios Data Quality Initiatives Plausible company data, i.e. data which stands up to scrutiny on all sides, is the basis for optimized workflows in a company. Duplicate and incorrect data in the company obstructs the processes, increases costs and can lead to incorrect decisions. Once data quality has been achieved (Data Cleansing) and is regularly monitored (DQ Firewall/ Monitoring), it speeds up the existing business processes and creates a competitive advantage which should not be underestimated. TARGET PROJECTS Deduplication Address validation Data enhancement Sanction list monitoring Fraud detection & protection Combatting money laundering etc. Data Integration Central data storage in a Data Warehouse presupposes the integration of all the relevant data from a heterogeneous IT landscape. The goal is to obtain a central and correct view of all the relevant data contents. The optimum basis for Business Intelligence applications, such as Corporate Performance Management, or compliance with legislative requirements or internal rules and instructions (Governance, Risk and Compliance) is thereby provided. TARGET PROJECTS Data Warehouse Business Intelligence Performance Management e.g. Sales / revenue planning Credit check Payables management etc. Data Migration / Data Consolidation Corporate takeovers or spin-offs from the parent group (mergers & acquisitions) or the introduction of ERP and CRM solutions are examples of data migration and data consolidation projects. New IT systems have to be integrated in the in-house infrastructure or existing structures transferred to a new IT infrastructure in a very short time. TARGET PROJECTS Company takeover Company split-up Transfer of old data ERP migration Setup of a CRM system Data archiving 1 Data Synchronisation Data synchronisation is an important prerequisite for setting up a comprehensive Master Data Management system or individual master data domains such as customer master data (Customer Data Integration). TARGET PROJECTS Master Data Management Customer Data Integration Simple system synchronisation 1) powered by Data Migration AG 2

3 Data Integration Suite Wide portfolio of functions All the project scenarios mentioned above can be addressed and implemented using the following features and functions offered by the Uniserv Data Integration Suite: Workflow Designer The Workflow Designer of the Uniserv Data Integration Suite provides both a graphic and a functional view of the underlying data and integration processes. An extensive component library integrated in the Workflow Designer guarantees access to all kinds of sources and destinations required for the processes of data integration, data migration, data consolidation and data synchronisation. Functions Workflow Designer Central Repository Data Previewer & Data Lineage Rules Management ETL Real-time data integration Administration Center Activity Monitoring (Console and Dashboard) A standard function of the Workflow Designer is the provision of components for all kinds of tasks and operations for the data itself as well as the management of the data and the sequence control of the data flow. These components are inserted in a graphic work area via drag & drop, thereby enabling new integration processes to be created very easily. Various data flow control elements assist the user in defining the process execution sequence. These workflows can be stored in the central repository for reuse. Users can quickly monitor the execution and also check and track the performance via an integrated console view. Workflow Designer 3

4 Central Repository All the information required in the projects is centrally stored in the repository. All the personnel involved in the integration process can access this information and use it collectively. It goes without saying that access is controlled by a pre-defined authorization concept. Different versions of the individual data objects can be stored in the central repository and made available for reuse. An automatic locking system guarantees that jobs are effectively blocked during the creation process, so that no other user can make changes to the same workflow at the same time. Data Previewer The Data Previewer enables the contents of different source and/or destination systems (files, databases, etc.) to be viewed independently of the application which is normally required for opening them. Examples: Notepad for txt and csv files, SQL Query browser for database tables, MS Excel for xls files etc. The Data Previewer saves users a great deal of time, since they can view an extract from the source data without further ado. Data Lineage Changes to data can be tracked very easily by means of the Data Lineage function. Data Lineage documents the changes and enables the user to track the effects his changes have on dependent process data. The result is shown in a report, in which the changes and their effects on dependent process data can be tracked. Rules Management Geschäftsregelmanagement The Uniserv Data Integration Suite supports the user in defining, creating and configuring in-house business or data quality rules. Business rules can be quickly and directly created by means of a graphical editor and can be flexibly edited at any time. Different versions of the rules can also be created and changes administered. These rules can then be imported to the Uniserv Data Integration Suite and made available for direct use in workflow definitions. ETL z.b. ERP EXTRACTION Old data 1 Old data 2 ETL-Process Source systems TRANSFO Syntactic Formal aspects Syntax modification Data conversion ETL (Extraction, Transformation and Loading) is a standard function of the Uniserv Data Integration Suite. This function was especially developed for use in heterogeneous IT environments and enables the integration of a great variety of technologies in source and destination systems (Web Service, files, databases, business applications, etc.). The Uniserv Data Integration Suite has more than 550 connectors available. The connectors also allow direct access to generally used application systems such as SAP, Oracle (incl. PeopleSoft, etc.), Salesforce, Microsoft and many more besides. This function can be used in batch and real time processing. Several ETL processes can be carried out in parallel, in order to speed up the execution. Real-time data integration Users can be provided with better information more quickly and therefore make result-oriented, business-relevant decisions by means of a low latency solution (short timelag) for processing data in real time. The real-time data integration enables the user to react to events in real-time which he would normally only find out about hours or even days later. Work 4

5 Data Integration Suite RMATION Semantic Correction of contents Key modifications Decomposition area LOAD z.b. CRM z.b. DWH / BI Destination systems Administration Center The Administration Center is a browser-based application. It supports the personnel with responsibility for an integration project in the administration of users, projects, user privileges, licences, etc. The project authorisation can be assigned to each user without any difficulty (support of LDAP directories). Users receive authorization to access the project in accordance with their function by this means. Users can then use repository objects (workflows, meta data for the DB connection, etc.) for the projects for which they are authorized together with other users. Activity Monitoring Console and Dashboard A classic example is Master Data Management. This function is a prerequisite for MDM projects, i.e. a data record is e.g. created locally in a system, extracted in real-time, cleansed centrally, enhanced and subsequently made available to other personnel working locally (worldwide). The Activity Monitoring Console offers a comfortable graphic user interface and is a central monitoring tool. It enables detailed monitoring to consolidate the collected log data, understand the underlying job interactions, prevent unexpected errors and support decisions concerning the system administration. The Activity Monitoring Console monitors job events (successes, errors, warnings, etc.), execution times and data volumes from a central point via a single console. The Activity Monitoring Dashboard supplements the AM Console in a meaningful way with graphical preparation of the collected data. The Dashboard provides diagrams for the execution performance and status indicators, by means of which all those concerned can view both the current and an historical status of the integration processes. Activity Monitoring 5

6 Data Quality Connectors (DQ Connectors) The Uniserv DQ Connectors link the Uniserv Data Quality product range with the Uniserv Data Integration Suite. The Uniserv DQ Connectors for the Uniserv Data Integration Suite are available free of charge. Incorrect addresses and duplicates falsify the information content e.g. of ERP, CRM or BI systems and reduce their effectiveness and cost efficiency. Important customerrelated performance indicators are distorted and require superfluous manual research and correction. The reliability of reports and forecasts decreases, which adversely affects corporate planning. Consignments cannot be delivered, marketing campaigns are without effect and customer satisfaction is put at risk. The costs of an integration project are made clear with the Uniserv Data Quality Connectors. The DQ Connector for single record customer data validation and correction is suitable for real-time use and batch use. In the duplicate search, prospects can be automatically searched for in the database (e.g. during the transfer from the Internet portal) and marked as potential duplicates. The updating of a special index pool for the errortolerant search ensures that the new prospective customer is immediately available for further searches. Lists with black sheep can be administered and suspicious prospects marked as cases for investigation. A second DQ Connector enables the integration of highperformance batch jobs which are defined and executed in the Uniserv DQ Batch Suite. Typical ETL processes can therefore be supplemented with data quality functions in conjunction with the DQ connectors, e.g. customer databases can be loaded from an old IT system, the data cleansed and the results loaded to the new CRM system. In addition to this, data from different systems can be periodically consolidated and cleansed while being loaded to a Data Warehouse. EXTRACTION UNISERV DATA INTEGRATION SERVICES TRANSFORMATION LOAD... SOURCE SYSTEMS Data Quality Audit UNISERV DATA QUALITY SERVICES WORK AREA Cleansing with Uniserv reference data Duplicate check Review (data correction, duplicates, etc.) Data appending (external data) (address check, name check, bank check, etc.) DESTINATION SYSTEMS Interaction of data integration and data quality 6

7 Data Integration Suite Scalability The Uniserv Data Integration Suite is highly scaleable and is available to the user in completely different versions depending on the task in hand. Workstation Advanced Server Standalone solution for smaller projects. Client/server solution for medium-sized projects with up to 6 servers and up to 6 user licences. Entry Server Enterprise Server Client/server solution with one server and up to 3 user licences. Enables effective collaboration. All the employees use one server and therefore one repository, the Designer can be used on several workstations. From 6 users upwards. The number of servers can be varied depending on the capacity requirements. Several servers can be combined to form a virtual server to increase the performance. Data Quality Service Hub The Uniserv Data Integration Suite can be used as a standalone solution or fully integrated as a component of the Uniserv Data Quality Service Hub. The Data Quality Service Hub combines all the functions of data quality with those of data integration under one umbrella, thereby clearly underlining the overall data management strategy of Uniserv GmbH. Analytical business applications Business Intelligence Data Warehouse Corporate Performance Management Governance, Risk & Compliance Operative Business Applications Enterprise Resource Planning Customer Relationship Management Supply Chain Management Supplier Relationship Management Master Data Management Customer Data Integration 7

8 DATA INTEGRATION SUITE Data quality from the European market leader Uniserv is the largest pure-play supplier of Data Quality Solutions in Europe with an internationally usable software portfolio and services for data management. Data management combines data quality assurance with data integration. Uniserv s solutions enable it to support its customers in initiatives for data quality and projects for data integration, data migration and consolidation and data synchronization, e.g. in the environment of CRM applications, ebusiness, direct and database marketing, CDI/MDM applications, Data Warehousing and Business Intelligence. With several thousand installations worldwide, Uniserv serves the expectations of a comprehensive solution for all business data over the entire data lifecycle. The company employs a total of more than 110 people at its headquarters in Pforzheim and its subsidiary in Paris, France, and serves a large number of prestigious international customers from all sectors of industry and commerce, including Allianz, Amazon, Dell, Deutsche Bank, ebay, EDE- KA, E.ON, France Telecom, Johnson & Johnson, Lufthansa, OTTO, Siemens, Time Warner, TUI and Volkswagen. Further information is available at UNISERV GmbH Rastatter Str. 13, Pforzheim, Germany T: , F: E: Uniserv GmbH, Pforzheim, All rights reserved

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