Microsoft Crm Analytics

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    Notes on slide 1

    06/06/09 07:36 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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    Microsoft Crm Analytics - Presentation Transcript

    1. Nic Smith BI Solutions Marketing Microsoft Corporation
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    3. Executives Managers End-users USERS OBJECTIVES Tactical Strategic Business Scorecard Operational Analysis Embedded Guidance Analytic Needs Differ by Role and Objective
    4. When Do I Need Analytics? Key Indicators
      • I spend too much time compiling, importing, and analyzing data
      • My team has to call the IT department for every database and reporting issue
      • I have to drill deeper into the data to gain sufficient insight
      • Customers don’t care about our internal processes and inefficiencies
      • We need granular, real-time data to make better decisions faster
      • I don’t have the tools and information that I need to effectively analyze sales data
      • We end up with disparate systems and ineffective communication channels
      • We’re not leveraging our investments and capabilities
      • Develop accurate forecasts
      • Achieve revenue goals
      • Increase close rates
      • Increase customer satisfaction (CSAT)
      • Reduce customer service costs
      • Drive revenue through service channels
      • Drive campaign ROI
      • Increase response rates
      • Improve marketing agility
      Helps each organization to achieve their objectives MARKETING SALES SERVICE
      • Monitor Marketing Performance
      • Analyze Pipeline Performance
      • Drive Conversion Rates
      • Push Intelligence to Point of Interaction
      Full spectrum of business intelligence capabilities ranging including Excel, performance dashboards, ad hoc reporting, OLAP, predictive modeling, and data mining.
      • Monitor Sales Performance
      • Analyze Process Performance
      • Predict Customer Behavior
      • Push Intelligence to Field
      Full spectrum of business intelligence capabilities ranging including Excel, performance dashboards, ad hoc reporting, OLAP, predictive modeling, and data mining.
      • Monitor Service Performance
      • Analyze Process Performance
      • Predict Customer Behavior
      • Push Intelligence to Point of Interaction
      Full spectrum of business intelligence capabilities ranging including Excel, performance dashboards, ad hoc reporting, OLAP, predictive modeling, and data mining.
    5. More Agility More Customer Loyalty Empower employees with customer metrics that guide employees to make decisions that will help build customer trust . More Revenue Prioritize marketing and sales initiatives in those that show the greatest return on investment. More Productivity Strategically align all customer-facing operations and empower employees from the top down to quickly adjust to changing environments . Eliminate learning curve issues while realizing fast adoption rates by delivering familiar applications that work the way your employees work.
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    11. “ ” The true value of Microsoft Dynamics is about how successful the tool can make employees in their jobs.” Greg Lush, Chief Information Officer, The Linc Group Microsoft Dynamics enables multinational service provider to optimize customer relationship management, and increase sales.
      • CRM solution with powerful out of the box BI capabilities that integrate with familiar tools such as Excel and Outlook.
    12. The Magic Quadrant is copyrighted February, 2008 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. Gartner, Inc. “Gartner Magic Quadrant for Business Intelligence Platforms, 2008,” James Richardson et al., Feb. 1, 2008
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    14. Mainframe/ Departmental Systems END USER TOOLS AND PERFORMANCE MANAGEMENT APPLICATIONS BI PLATFORM (RDBMS, ETL, OLAP, Reporting) DELIVERY
    15. What happened? Reporting, Consolidation What is happening? Scorecards and Dashboards Why did it happen? Analytics What will happen? Forecasting What do I want to happen? Planning, Budgeting
    16. Microsoft Business Intelligence Vision and strategy
      • Complete and integrated BI and Performance Management offering
      • Agile products that adapt to your information needs
      • Built on a trusted part of your IT backbone

    + Nic SmithNic Smith, 2 years ago

    custom

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