One platform, many benefits. Managing data as a corporate asset. BUSINESS KEY MARKET PLATFORMS

Transcription

1 Datawarehouse

2 CONTEXT BENEFITS Managing data as a corporate asset. The high number of available information held by business companies operating on different areas (Finance, Energy, Industry, Telecommunications, Services), together with the tendency to operate through multichannel logics, determines the need to centralize their management. The introduction of a datawarehouse, which is a computing and data presentation environment, allows the availability of information with the following requirements One platform, many benefits. The implementation of a datawarehouse facilitates the achievement of business and IT benefits: BUSINESS UNIVOCITY USABILITY in business perspective ACCESSIBILITY for all shareholders all corporate information converge from various sources data are processed and organized according to business needs Data are easy to access, thanks to the possibility to create differentiated outputs MARKETING AND SALES AREAS SUPPORT for strategic initiatives management. ROW DATA ANALYSIS AND AGGREGATION through complex logics and their arrangement into ad hoc reports (business dashboards). TIME TO MARKET REDUCTION thanks to the near real time availability of appropriate dashboards containing organized business data. KEY MARKET PLATFORMS There is a large market that offers datawarehouse platforms that covers different needs: in addition to the most recognized platforms, characterized by a higher numerosity and maturity index, many new platforms (some of which are open source) are growing in terms of market share. KEY MARKET PLATFORMS Oracle SAS Microsoft SAP IBM NEW PLATFORMS Qlik Tableau Pentaho ABILITY TO EXECUTE CHALLENGERS Jaspersoft COMPLETENESS OF VISION As of February 04 (fonte: Gartner Inc - 04) Tableau Qlik Microsoft Birst SAP IBM Logy Analytics Tibco Software SAS Information Builders Prognoz Oracle Microstrategy Yellowfin Bitam Pentaho Jaspersoft GoodData Board International Alteryx Panorama Software Salient Management Company Actuate Targit arcplan Pyramid Analytics Infor NICHE PLAYERS LEADERS VISIONARIES DATA ASSURANCE thanks to their centralization and to the reduction of typical errors coming from different systems extractions. SCALABILITY OF TECHNOLOGICAL PLATFORMS that enables the possibility to handle new emerging requirements. ARCHITECTURE RATIONALIZATION through the removal of redundancies. IT

3 CONTEXT BENEFICI Logical architecture and evolution path. A datawarehouse is placed under the enterprise data sources, and it is typically built on a modular structure, based on different levels with specific goals. SOURCE LEVEL CAPTURE AND IMPORT DATA WAREHOUSE LEVEL DATA PROCESSING AND ORGANIZATION EXTERNAL SOURCES INTERNAL SOURCES SOURCE SOURCE SOURCE n SOURCE SOURCE SOURCE n DWH Implementation strategies TOP-DOWN APPROACH LEVEL SOURCE WAREHOUSE LEVEL ENTERPRISE SYSTEMS SOURCE SOURCE SOURCE n SOURCE SOURCE SOURCE n With the first step the central data repository is created, in order to uncouple the company systems from the sources and to reduce information redundancy. In the following step, the business logic are centralized in the DWH, and specific outputs are generated DATABASE DWH SYSTEM SYSTEM SYSTEM 3 SYSTEM N 3 OUTPUT/ANALYSIS LEV. PRESENTATION AND DISTRIBUTION OUTPUT DATAMART OLAP REPORT DASHBOARD CRM MARKETING AUTOMATION RISK MGMT SOURCE LEVEL SOURCE SOURCE SOURCE 3 SOURCE 4 SOURCE 5 SOURCE n DWH PLATFORM IT EXTRACTS, NORMALIZES AND IMPORTS DATA FROM ALL SOURCES. IT CENTRALIZES THE PROCESSING LOGICS AND PHYSICALLY DECOUPLES DATA SOURCES AND MANAGEMENT SYSTEMS FROM THE TOP MANAGEMENT BUSINESS PROCESSING. 3 IT FEEDS WITH CERTIFIED DATA ALL CONTROL AND MANAGEMENT AREAS OF THE COMPANY. A datawarehouse is built following a modular approach, with the aim of: Satisfy, with each module, the specific information needed by all company areas Reduce the time to market Reduce the complexity and the effort that is needed to realise a big-bang approach Analysis of data sources Requirements Analysis Infrastructure Implementation Releases to priority needs Medium priority s releases Analysis of feasible rationalizations New requirements Analysis New requirements analysis and release Database and data feed rationalization Continuous refining BOTTOM-UP APPROACH WAREHOUSE LEV. OUTPUT LEV. DATABASE DWH OUTPUT SYSTEM SYSTEM n With the first step the basic infrastructure is built in order to capture data from several sources and to produce a first specific output. With the following incremental steps new data sources are integrated, company systems are decoupled and new specific outputs are generated.

4 CONTEXT BENEFITS Transversal skills for a 360 support. Lynx, thanks to its know-how and deep knowledge of the main market platforms, offers different types of services. Design, development and maintenance of Customer Intelligence datawarehouse (Oracle DBMS, OWB and BI and reporting through BO), data quality processes and policy data rejuvenation Design, development and maintenance of the Pricing system datawarehouse (SAS) Design of the quality monitoring and customers data consistency system Advanced reporting for consumption and prices monitoring (SAS) PROJECTS Evolutionary and corrective maintenance of the power consumption monitoring system (smart metering). PROJECTS ADVISORY AM OUTSOURCING Design of a complete datawarehouse, anagraphic master and flows monitoring system to centralize and connect all the Bank key information Implementation of new reporting platform Detailed analysis of data sources and needs Architecture design and sizing Data Architecture Design Turnkey realization of the target solution Design and implementation of ad hoc reporting solutions Complete Project Coordination Maintenance and application support of top management systems (SAS datawarehouse) Design of new reports, in order to calculate credit rating Creation and maintenance of the Sales datawarehouse platform AM/OUTSOURCING Complete AMS services on the platform Help desk (I e II level support services) ADVISORY Preliminary quick-assessment Best suitable solution design Software selection and feasibility study Functional analysis Users interviews, in order to collect requirements User training Retail Bank system (loans and cards): evolutionary and corrective maintenance of datawarehouse and ; design and maintenance of all reports Private Banker system: evolutionary and corrective maintenance of datawarehouse and ; design and maintenance of all reports Design of the reporting system dedicated to the analysis of the public transportation and of the statistics (ISTAT and EUROSTAT) related to the local population/economy

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