The Microsoft platform for Financial Business Intelligence and informed decision making

Transcription

1 The Microsoft platform for Financial Business Intelligence and informed decision making Myladie Stoumbou Manager, Solution Sales Team 22 nd, November 2012

2 Agenda Business Intelligence today The Microsoft Approach Customer Stories Demo

3 Today: Complex Challenges, New Opportunities

4 Our customers say Help us Take advantage of social media & mobility to attract new generations of customers Improve sales behaviors and service levels for organic growth Gain greater insight to financial risks and business performance across the organization Modernize the core operating systems for business ease of use and improve IT cost ratios

5 Technology Trends in our Industry Matter Data Explosion Cloud Computing Consumerization of IT Natural Interactions

6 Business Intelligence matters Financial Administrative and Operational Because you can only manage what you can measure Sales / Customer Service

7 Reality of BI in Today Difficult to use Unfamiliar tools inhibit adoption and use. Fragmented Narrowly deployed without a complete view. Rigid Costly and time-consuming to change. Costly $ Too Too expensive expensive for broad for broad deployment. deployment.

8 The Present Future State of of BI BI Have 100% 20% Have Not Managed Collaborative Self-Service 80%

9 The Microsoft Approach Specialization Actionable Insights for Everyone

10 BI for Everyone Traditional BI Self-Service BI Provision Analysis Reports Dashboards & Scorecards End Users Data Staging ETL/Data Quality Analysis Cubes Data Warehouse Spreadsheets Specialized Tools Existing Data LOB Applications Data Marts Files IT Pro

11 Agility of Self Service BI End User IT Professional Find & Access Connect & Provision Mash-up & Analyze Monitor & Manage Share & Collaborate Deploy & Future Proof Agility Control

12 Self-service analysis is Familiar Integrated Visually rich Enterprise Ready Presentation Ready Mobile Providing business insights to all employees leading to better, faster, more relevant decisions SAP ORACLE LOB APPS DATA FEEDS

13 Collaborative decision making Scorecards KPIs Userspecific Site Social Feeds Focus Gauges Map based reporting Interactive Charts

14 The benefits are obvious Get deeper insight in business Improve productivity and efficiency Informed decision making Analyze data in a business meaningful way Optimize cashflow and increase profitability Enhance team sharing and collaboration Improve Customer Service and Satisfaction Enforce regulatory compliance Increase flexibility and agility Streamline budgeting and planning

15 Complete and Integrated BI Solution

16 Analyst Reviews Leader in Magic Quadrant for Data Warehousing (Feb 2012) Leader in Magic Quadrant for Business Intelligence (Feb 2012) Microsoft exhibits one of the best value propositions on the market with a low cost and a highly favorable price / performance ratio - Gartner, February 2012 Leader in Forrester Wave for Self-Service BI Platforms (June 2012) [Gartner, Inc., Magic Quadrant for Data Warehouse Database Management Systems Magic Quadrant, Mark A. Beyer, Donald Feinberg, Merv Adrian, Roxane Edjlali, February 6, The Magic Quadrant is copyrighted 2012 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

17 Microsoft Confidential Mission Critical Value Proposition SQL Server continues to lead in lowest security patches across the major DBMS vendors Fewer vulnerabilities translates to less time spent patching servers and inherently more secure databases 80 Series1 Series2 Series3 Series Source: ITIC 2011: SQL Server Delivers Industry-Leading Security Notes: Update as of 1/18/2012 inclusive. Chart counts NIST CVE Reported Software Flaws by published date, utilizing the NIST NVD. SQL Server Query = Vendor Name: Microsoft Corporation; Product Names: sql_server, sql_server, sql_server_desktop_engine, sql_server_express_edition, sql_server_reporting services, sql_srvsql_srv_desktop_engine; Oracle Query = Vendor Name: Oracle; Product Name: Any, all CVEs where Vulnerable software and versions lists a database product; DB2 Query = Vendor Name: IBM; Product Names: db2, db2_content_manager, db2_content_manager_toolkit, db2_server, db2_universal_database; MySQL Query = Vendor Name: mysql, mysql-ocaml, mysql_auction, mysql_eventum, mysql_quick_admin, mysqldumper, mysqlnewsengine; Product Name: Any 17

18 Leadership & ROI $1,066,348 The Microsoft Advantage Microsoft Mega-Vendor Average without Microsoft Using/Planning to Use Evaluating/Not Using Five-Year BI Platform Cost $220,804 MICROSOFT 55% 45% ORACLE (INCLUDING HYPERION AND SIEBEL) 42% 58% SAP BUSINESSOBJECTS 40% 60% IBM COGNOS (INCLUDING TM1) 38% 62% Are You Using, Planning, to Use or Evaluating BI Products from the Following Vendors? Source: Gartner 2010 BI Platforms Licensing Models & Negotiation Strategies Source: InformationWeek Analytics 2010 BI and Information Management Survey

19 Data Explosion The use of big data will become a key basis of competition and growth for individual firms. From the standpoint of competitiveness and the potential capture of value, all companies need to take big data seriously. In most industries, established competitors and new entrants alike will leverage data-driven strategies to innovate, compete, and capture value from deep and up to real time information. Indeed, we found early examples of such use of data in every sector we examined. Mckinsey, Big Data report, May 2011 Information volume is growing worldwide at a minimum rate of 59% annually with 15% of that data as structured data and the rest comprised of new complex data types all helping contribute to Big Data. - Donald Feinberg, Gartner IT Symposium, October 2010

20 What is big data? Velocity Volume Data Variety Variability Big Data is defined by Cheaper storage & new sources 80% non-relational Real-time analytics needed Challenging to analyze New Data Sources Non-traditional Data Types Large Data Volumes New Technologies New Economics New Questions & New Insights

21 Microsoft s Approach to Big Data Insights to all users by activating new types of data

22 Customer Stories: Large Greek Mobile Operator

23 Customer Stories: Large Greek Insurance Company

24 Customer Stories: Samsung Electronics Deployed an 80-terabyte equipmentmonitoring system We can analyze 10 times more data and make more efficient and innovative decisions about energy management using trend statistics and histograms." Mr. Keith Clarkson, Electronics Infrastructure Technology Center

25 Customer Stories: VOLVO Car Corporation Boosts Operational Efficiency and Reduces costs With SQL Server 2012 and Power View, we will be able to empower our users to significantly reduce the time for analysis in some areas. Business Analyst Volvo expects togradually implement the system for up to 5,000 users.

26 Customer Stories: LG Chemicals Reduced reporting time in half and improved operations By taking advantage of Microsoft BI, we ve reduced the time it took to create complex reports from 15 to 7 days. As a result, managers have more time to drill down and analyze performance. Cheol Ki Park, Manager

27 Customer Stories: Konica Minolta Improved customer service efficiency Our business users can immediately gain clear views of data. This increases the speed of decision making and dramatically reduces operational workloads and costs. Mr. Toshihiko Nakazawa, Customer Satisfaction (CS) Planning Director

28 Demo Online : Login with LiveID