Competitive Analytics
|
|
|
- Valerie Bruce
- 10 years ago
- Views:
Transcription
1 Competitive Analytics Utilize data to help analyze future scenarios to make more accurate assumptions Ed Allison Compelligence, Inc.
2 Ed Allison Education: Computer & Management Science US Army: Captain Career Cisco Systems Symbol Technologies Juniper Networks Polycom Compelligence Speaker
3 Rules of the road Information Compelligence
4 Compelligence Who we are Intelligent Competitive Sales Strategies Fact Based Messaging Real Time Feedback Win / Loss Analysis
5 Competitive Analytics Utilize data to help analyze future scenarios to make more accurate assumptions Planning and Forecasting is often based on quantitative analysis comparing scenarios based on assumptions of business forces in your future environment. The largest unknown is the future. What if we could use data to help analyze those future scenarios to make more accurate assumptions. Using technology we can analyze trends in the market place, track sales feedback via win/loss analysis and compare offers in a more analytical manner to eliminate uncertainty for planning.
6 Analytics Where did it begin?
7 Analytics Where did it begin?
8 Is this technique becoming more popular?
9 Competitive Intelligence is becoming a Customer Exercise
10 Definition: Analytics The discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight. -wikipedia.com
11 What is an Analytical Competitor Extensive use of data, statistical and quantitative analysis, exploratory and predictive models and factbased management to drive decisions and actions.
12 What is an Analytical Competitor
13 Use of Analytics: What matters The best intelligence in the world is of little use if it is not presented in a manner that makes it credible, compelling and relevant for senior executives. - Ken Sawka Outward Insights (now Fuld)
14 Analytics: Organizational-wide Analytics cannot be utilized only by executives but must be used by all teams regardless if you are designing and building offers, selling them, or leading the organization that does. - Edward Allison Compelligence, Inc.
15 Types of Competitive Deliverables Early Warning Systems (Most likely Course of Action Analysis) Sentiment Analysis / Reputation Analysis Trend / Timeline / Event Analysis Product / Solution Analysis (Feature / Functionality Analysis) Win / Loss Analysis Financial Analysis / Financial Forensics Analysis SWOT Analysis SEO Analysis Strategic Threat Report Feature Velocity Analysis Market Share Analysis Customer Persona Analysis more
16 Examples of Competitive Analytical Reports
17 What do we all have in common?
18 What do we all have in coming? Strategic (Vision) Annual Operating Plan ($) Marketing Plans Product / Solution Planning Account Planning
19 Keys to Success for a Competitive Intelligence Program Executive Sponsorship Start with Sales Cultural Support Centralized Management Distributed Participation & Utilization Metris Driven
20 Competitive Analytical Reports: Executives
21 Example: Competitor Threat Dashboard Access and Reporting (More) Analytics
22 Example: Competitor Threat Dashboard
23 Example: Competitor Threat Dashboard
24 Example: Competitor Threat Dashboard
25 Competitive Analysis Analytics FAROUT Methodology
26 Competitive Analysis Analytics FAROUT Methodology Future Oriented Accurate Resource Efficient Objective Useful Timely
27 Examples of Competitive Analytical Reports
28 Product and Solution Planning Discovery 1 Scoping 2 Business Analysis 3 Development 4 Testing & Validation 5 Launch 6 Post Launch Analysis
29 Competitive Analytics for Discovery Discovery 1 Scoping 2 Business Analysis 3 Development 4 Testing Development & Validation 5 Testing Launch & Validation Early Warning Systems Trend / Timeline / Event Analysis Win / Loss Analysis Product Analytics SEO Analysis Feature Velocity Analysis Market Share Analysis Customer Persona Analysis many more 6 Post Launch Analysis
30 Timeline Analysis / Trend Analysis
31 Timeline Analysis / Trend Analysis Who: Product Management, Product Marketing What: Concept Commit, Product Proposal Meetings When: Phase 1 of NPI Process Where (How): Slides Why: Influence & Build Consensus Problem: Intuition, Bias, Not Metrics Based
32 Going beyond observation: Early Warning Analysis Event Event Event Event Event Environmental Monitoring System Trend 1 Trend 2 Trend 3 Report / Dashboard
33 Real World Intelligence: Fall of the Soviet Union
34 Competitive Analytics: A Practical Application of Prediction
35 Trend Analysis Systems
36 Tools Examples
37 Compelligence: Distributed Intelligent Monitoring & Logging
38 Win / Loss Analysis
39 Win Loss Analysis Who: Sales, Product Management, Product Marketing What: Concept Commit, Post Launch Analysis When: Phase 1 & Phase 6 of NPI Process Where (How): Dashboards, Excel Files, Slides Why: Influence & Build Consensus Problem: Usually not analytics
40 Win Loss Analysis In this book Rick Marcet reveals a new knowledge model that taps into one of the most under utilized sources of business and competitive intelligence your sales staff.
41 Typical Win / Loss Report
42 Win Loss Analysis Example 12,000 10,000 8,000 6,000 4,000 2,000 Why Polycom Wins Government (Non USA) Transportation To be Determined Telecommunication equipment/ services Telecom Technology Technology Systems Integrator State & Local Government (USA & No Service Provider Pharmaceuticals Petroleum Petroleum Other Manufacturing IT Consulting/Services Information Technology - Price Quality/Reliability Relationship (Channel) Relationship (Polycom) Technology Hospitals Higher Educ (University/College)
43 Tools Example: Primary Intelligence
44 Transaction Data & Intelligent Win / Loss Analysis to build a Dataset
45 Win / Loss is a component of Analytics Often an organizational issue, not an analyst issue
46 . What if you were RIM?
47 Examples of Competitive Analytical Reports
48 Competitive Analytics for Discovery Discovery 1 Scoping 2 Business Analysis 3 Development Early Warning Systems Trend / Timeline / Event Analysis Win / Loss Analysis SEO Analysis Product & Feature Velocity Analysis Market Share Analysis Customer Persona Analysis more 4 Development 5 Testing & Validation 6 Post Launch Analysis
49 Product & Feature Velocity Analysis
50 Typical Tools (Excel) are Descriptive
51 Dynamic Objective Product Analysis Excel s Conditional Formatting can be useful
52 Product Analytics to Help Sales Win
53 Analytics enables Silver Bullets for Sales
54 Analytics is required to face a new changing Competitive Landscape
55 Questions
Keynote: Competitive Sales-Enablement Not Your Father s CI Program
BUSINESS FORECASTING AND INNOVATION FORUM 2015 September 17-18, 2015 Boston, MA September 18, 9:45 AM Keynote: Competitive Sales-Enablement Not Your Father s CI Program Tools, tactics, and techniques that
SCIP UNIVERSITY CERTIFICATIONS
SCIP UNIVERSITY CERTIFICATIONS Featuring the Best in Interactive Online Programs and Interactive In-person Global Workshops THIS DOCUMENT CONTAINS INFORMATION ON OUR ONLINE SOLUTION STYLE COURSES ONLY
TEXT ANALYTICS INTEGRATION
TEXT ANALYTICS INTEGRATION A TELECOMMUNICATIONS BEST PRACTICES CASE STUDY VISION COMMON ANALYTICAL ENVIRONMENT Structured Unstructured Analytical Mining Text Discovery Text Categorization Text Sentiment
Global Oil & Gas Suite
IHS ENERGY Global Oil & Gas Suite Comprehensive analysis and insight on upstream opportunities, risk, infrastructure dynamics, and downstream markets Global Oil & Gas Suite Make optimal decisions about
Getting 'Gartnered': How Vendors Can Work With Gartner
Getting 'Gartnered': How Vendors Can Work With Gartner Gareth Herschel and Matthew Goldman Notes accompany this presentation. Please select Notes Page view. These materials can be reproduced only with
LEAD GENERATION IN 2013
LEAD GENERATION IN 2013 BEST PRACTICES ACROSS THE DIGITAL MARKETING LANDSCAPE Philippe Taza DIGITAL ANALYST Higher Education Marketing [email protected] Slide 1 TODAY S PRESENTATION
9 Reasons Your Product Needs. Better Analytics. A Visual Guide
9 Reasons Your Product Needs Better Analytics 02 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 A Visual Guide Better Analytics for Your Users Table of Contents Introduction... 2 As a product
Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices
September 10-13, 2012 Orlando, Florida Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices Vishwanath Belur, Product Manager, SAP Predictive Analysis Learning
THE STATE OF Social Media Analytics. How Leading Marketers Are Using Social Media Analytics
THE STATE OF Social Media Analytics May 2016 Getting to Know You: How Leading Marketers Are Using Social Media Analytics» Marketers are expanding their use of advanced social media analytics and combining
user experience interaction design web design web development web: www.meda.co.uk email: [email protected]
We believe User Experience (UX) is at the heart of any project providing the necessary focus to produce truly engaging user driven solutions like no one else. Our strategy is to help you identify your
Customer Experience Strategy and Implementation
Customer Experience Strategy and Implementation Enterprise Customer Experience Transformation 2014 Andrew Reise, LLC. All Rights Reserved. Enterprise Customer Experience Transformation Executive Summary
ETCIC Internships Open to Sophomores:
ETCIC Internships Open to Sophomores: If interested in applying for any of these positions, please email [email protected] with your resume (and cover letter if required) by Sunday, 9/20 at 11:59pm.
ADVANCED DATA VISUALIZATION
If I can't picture it, I can't understand it. Albert Einstein ADVANCED DATA VISUALIZATION REDUCE TO THE TIME TO INSIGHT AND DRIVE DATA DRIVEN DECISION MAKING Mark Wolff, Ph.D. Principal Industry Consultant
Metrics that Matter Security Risk Analytics
Metrics that Matter Security Risk Analytics Rich Skinner, CISSP Director Security Risk Analytics & Big Data Brinqa [email protected] April 1 st, 2014. Agenda Challenges in Enterprise Security, Risk
A Sample Proposal. By Krish Srinivasan. A Trusted Client Partner Email [email protected]
A Sample Proposal By Krish Srinivasan A Trusted Client Partner Email [email protected] inclination of IT Client towards a nascent entry into Healthcare Management Systems (HMS) & Clinical Information
IBM Global Business Services Microsoft Dynamics CRM solutions from IBM
IBM Global Business Services Microsoft Dynamics CRM solutions from IBM Power your productivity 2 Microsoft Dynamics CRM solutions from IBM Highlights Win more deals by spending more time on selling and
Technological Tools Trends:
Technological Tools Trends: Prediction Models, Business Intelligence, Big Data and Multichannel Communications James Grace, Contact Center Consultant What is Big Data? Tema según el cronograma What is
Data Analytics in Organisations and Business
Data Analytics in Organisations and Business Dr. Isabelle E-mail: [email protected] 1 Data Analytics in Organisations and Business Some organisational information: Tutorship: Gian Thanei:
Social Media Week. Social Analytics & Dahboards. Your opportunity to be the company hero
Social Media Week Social Analytics & Dahboards Your opportunity to be the company hero Who am I? Morten Blumensaadt Digital Strategist Propeople/Bysted [email protected] +45 22718969 01 Why do Dashboards
A Guide to Customer Journey Mapping
A Guide to Customer Journey Mapping About This Guide What s Inside Getting Started with Customer Journey Mapping An Introduction Today, customer experience is at the forefront of company strategy across
The 2-Tier Business Intelligence Imperative
Business Intelligence Imperative Enterprise-grade analytics that keeps pace with today s business speed Table of Contents 3 4 5 7 9 Overview The Historical Conundrum The Need For A New Class Of Platform
C O N S U L T C O N N E C T - C H A N G E. Does CRM Really Work?
C O N S U L T C O N N E C T - C H A N G E Does CRM Really Work? TABLE OF CONTENTS DOES CRM REALLY WORK?... 3 WHY THE RESISTANCE TO CRM?... 3 HOW DO YOU SELL CRM?... 4 CRM IS NOT JUST ABOUT TECHNOLOGY...
What the Hell is Big Data?
Presentation What the Hell is Big Data? Bernard Marr www.ap-institute.com 1 Background 2 Navigating to Success 3 Navigation Today 4 The Global Data Revolution 5 The Intelligent Company Model Strategic
Data Driven Security Framework to Success
Data Driven Security Framework to Success Presented by Leonard Jacobs, MBA, CISSP, CSSA Founder, President and CEO of Netsecuris Inc. 1 Topics The Explosion of Security Data Threat-centric Security vs.
MEASURING THE IMPACT OF TRAINING: A FOCUS
MEASURING THE IMPACT OF TRAINING: A FOCUS ON SALES READINESS THOUGHT LEADERSHIP SURVEY RESULTS TABLE OF CONTENTS STUDY OVERVIEW 2 KEY FINDINGS 2 ANALYSIS: MEASURING SALES READINESS 3 ANALYSIS: MEASURING
JOYN is a digital marketing consultancy for lifestyle brands.
Facts are sacred. The potential of social media to reduce marketing costs and increase profits is well understood, but with your Inbox littered with social media experts, finding advice on how it all fits
Using Predictive Analytics to Increase Profitability Part III
Using Predictive Analytics to Increase Profitability Part III Jay Roy Chief Strategy Officer Practical Intelligence for Ensuring Profitability Fall 2011 Dallas, TX Table of Contents A Brief Review of Part
Voice. listen, understand and respond. enherent. wish, choice, or opinion. openly or formally expressed. May 2010. - Merriam Webster. www.enherent.
Voice wish, choice, or opinion openly or formally expressed - Merriam Webster listen, understand and respond May 2010 2010 Corp. All rights reserved. www..com Overwhelming Dialog Consumers are leading
Building for the future
Building for the future Why predictive analytics matter now William Gaker Goals for today Growth and establishment of the people analytics field Best practices for building a people analytics function
Pulsar TRAC. Big Social Data for Research. Made by Face
Pulsar TRAC Big Social Data for Research Made by Face PULSAR TRAC is an advanced social intelligence platform designed for researchers and planners by researchers and planners. We have developed a robust
actionable big data. maximum roi. Making Analytics Make Actionable Sense: PART 2
actionable big data. maximum roi. Making Analytics Make Actionable Sense: PART 2 Why read this paper? The Big Data explosion has had a major fallout component: how do I track and measure all this data
Social media Content Coordinator (online marketing manager)
Social media Content Coordinator (online marketing manager) We serve private, non profits and governmental agencies. We are seeking to grow our digital media department as well as the company s digital
3. Provide the capacity to analyse and report on priority business questions within the scope of the master datasets;
Business Intelligence Policy Version Information A. Introduction Purpose Business Intelligence refers to the practice of connecting facts, objects, people and processes of interest to an organisation in
Accenture Intelligent Security for the Digital Enterprise. Archer s important role in solving today's pressing security challenges
Accenture Intelligent Security for the Digital Enterprise Archer s important role in solving today's pressing security challenges The opportunity to improve cyber security has never been greater 229 2,287
Be Prepared. For Anything. Cyber Security - Confronting Current & Future Threats The role of skilled professionals in maintaining cyber resilience
Cyber Security - Confronting Current & Future Threats The role of skilled professionals in maintaining cyber resilience Mike O Neill Managing Director Graeme McGowan Associate Director of Cyber Security
Research Brief. Using the Model. Category One: Strategy
The Sirius Directions in Services Model The Sirius Directions in Services Model groups sales, marketing and product service providers and agencies into five categories: strategy, reputation, demand, sales
Threat Intelligence: The More You Know the Less Damage They Can Do. Charles Kolodgy Research VP, Security Products
Threat Intelligence: The More You Know the Less Damage They Can Do Charles Kolodgy Research VP, Security Products IDC Visit us at IDC.com and follow us on Twitter: @IDC 2 Agenda Evolving Threat Environment
B2B opportunity predictiona Big Data and Advanced. Analytics Approach. Insert
B2B opportunity predictiona Big Data and Advanced Analytics Approach Vodafone Global Enterprise Manu Kumar, Head of Targeting, Optimization & Data Science Insert Agenda Why B2B opportunities are hard to
Tools for Managing and Measuring the Value of Big Data Projects
Tools for Managing and Measuring the Value of Big Data Projects Abstract Big Data and analytics focused projects have undetermined scope and changing requirements at their core. There is high risk of loss
Health Data Analytics (HDA) Build the organizational capabilities to create value from HDA
Health Data Analytics (HDA) Build the organizational capabilities to create value from HDA Health Data Analytics (HDA) Webinar Presenter Celwyn Evans Moderator Joe Crandall Objective: Review a pragmatic
2 Day In House Demand Planning & Forecasting Training Outline
2 Day In House Demand Planning & Forecasting Training Outline On-site Corporate Training at Your Company's Convenience! For further information or to schedule IBF s corporate training at your company,
Tapping the Power of User Trials - The Story of Motorola's Web-Based TRYMEMOTO User Feedback System
Tapping the Power of User Trials - The Story of Motorola's Web-Based TRYMEMOTO User Feedback System Arleen Macaraeg-Denque, Motorola Stephen Lawe, Resource Systems Group Presentation Overview Why TRYMEMOTO?
Big Data Analytics: 14 November 2013
www.pwc.com CSM-ACE 2013 Big Data Analytics: Take it to the next level in building innovation, differentiation and growth 14 About me Data analytics in the UK Forensic technology and data analytics in
32 Benefits of Pipeliner CRM
SLIDE DECK: 32 Benefits of r CRM www.pipelinersales.com 32 Benefits of r CRM r originally was designed as a tool for sales empowerment. With its newest release r meets the highest requirements for enterprise
2012 Global Security and Network Performance Monitoring Product Differentiation Excellence Award
2012 2012 Global Security and Network Performance Monitoring Product Differentiation Excellence Award 2012 Frost & Sullivan 1 We Accelerate Growth Product Differentiation Excellence Award Security and
A Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data
White Paper A Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data Contents Executive Summary....2 Introduction....3 Too much data, not enough information....3 Only
Virtual Detailing in Life Science Organizations
Healthcare Virtual Detailing in Life Science Organizations Table of Contents Problem Summary Pharmaceutical Life Science Product Sales The Deteriorating Dynamics Life Science Sales & Marketing: Between
DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER?
DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER? [1] Sachin Kashyap Research Scholar Singhania University Rajasthan (India) [2] Dr. Pardeep Goel, Asso. Professor Dean
Beyond listening Driving better decisions with business intelligence from social sources
Beyond listening Driving better decisions with business intelligence from social sources From insight to action with IBM Social Media Analytics State of the Union Opinions prevail on the Internet Social
Big Data Services From Hitachi Data Systems
SOLUTION PROFILE Big Data Services From Hitachi Data Systems Create Strategy, Implement and Manage a Solution for Big Data for Your Organization Big Data Consulting Services and Big Data Transition Services
Architecting your Business for Big Data Your Bridge to a Modern Information Architecture
Architecting your Business for Big Data Your Bridge to a Modern Information Architecture Robert Stackowiak Vice President, Information Architecture & Big Data Oracle Safe Harbor Statement The following
USING DATA DISCOVERY TO MANAGE AND MITIGATE RISK: INSIGHT IS EVERYONE S JOB
USING DATA DISCOVERY TO MANAGE AND MITIGATE RISK: INSIGHT IS EVERYONE S JOB If you manage risk in your organization, you re probably surrounded by paper right now. After all, you need reports to help mitigate
IBM Social Media Analytics
IBM Analyze social media data to improve business outcomes Highlights Grow your business by understanding consumer sentiment and optimizing marketing campaigns. Make better decisions and strategies across
Five Key Outcomes of Social CRM
Five Key Outcomes of Social CRM A look at the business case Social CRM: more than monitoring Take a step back. When contemplating social media initiatives, it s easy to get tunnel vision. The evaluation
Beyond Traditional Management Reporting. 2013 IBM Corporation
Beyond Traditional Management Reporting 1 Agenda From Reporting to Business Analytics Expanding your capabilities set Workspace Authoring Statistical Analysis Predictive Modeling What-if analysis and planning
Unleashing Potential. Building a Career Development Culture to Drive Employee Engagement. Jeneane Blom Senior Consultant Right Management
Unleashing Potential Building a Career Development Culture to Drive Employee Engagement Jeneane Blom Senior Consultant Right Management 2014 Right Management. All Rights Reserved. Right Management Overview
Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer
Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer Terry Bouziotis: Director, IT Enterprise Master Data Management JJHCS Bob Delp: Sr. MDM Program Manager
Hedge Fund Marketing Essentials: Insights, Strategies and a CRM
Hedge Fund Marketing Essentials: Insights, Strategies and a CRM Thursday, November 5, 2015 Today s Experts Jaime Bean Managing Director Ledgex Systems Lauren Colonna Principal & Creative Director Ovis
BPM and Simulation. A White Paper. Signavio, Inc. Nov 2013. Katharina Clauberg, William Thomas
BPM and Simulation A White Paper Signavio, Inc. Nov 2013 Katharina Clauberg, William Thomas Table of Contents 1. Executive Summary... 3 2. Setting the Scene for Process Change... 4 3. Identifying the Goals
Predictive Analytics for Procurement Lead Time Forecasting at Lockheed Martin Space Systems
Orange County Convention Center Orlando, Florida June 3-5, 2014 Session Code: 0204 Predictive Analytics for Procurement Lead Time Forecasting at Lockheed Martin Space Systems Using SAP HANA, R, and the
Customer Experience Management
Customer Experience Management 10 tips for the successful development and execution of Chris Bland Research Director SPA Future Thinking Introduction, sometimes referred to as Customer Feedback Programmes,
How To Listen To Social Media
WHITE PAPER Turning Insight Into Action The Journey to Social Media Intelligence Turning Insight Into Action The Journey to Social Media Intelligence From Data to Decisions Social media generates an enormous
Cis330. Mostafa Z. Ali
Fall 2009 Lecture 1 Cis330 Decision Support Systems and Business Intelligence Mostafa Z. Ali [email protected] Lecture 2: Slide 1 Changing Business Environments and Computerized Decision Support The business
Adobe, shortening the sales cycle.
Adobe, shortening the sales cycle. Digital publishing solutions leader leverages Adobe Digital Publishing Suite and Adobe Experience Manager integration to drive impact with sales enablement app. Adobe
Technology & Applications. Three Technology Must-Haves to Improve Sales Effectiveness and Boost Win Rates
Technology & Applications Three Technology Must-Haves to Improve Sales Effectiveness and Boost Win Rates Executive Summary To drive sales excellence, sales professionals need to monitor their objectives,
How to extend SAP PPM to enable Dashboard Analytics for optimal decision support
How to extend SAP PPM to enable Dashboard Analytics for optimal decision support Ashish Tewari, Deloitte Consulting LLP Gaurav Kanungo, Deloitte Consulting LLP LEARNING POINTS Approach for making informed
SOCIAL LISTENING AND KPI MEASUREMENT Key Tips for Brands to Drive Their Social Media Performance
SOCIAL LISTENING AND KPI MEASUREMENT Key Tips for Brands to Drive Their Social Media Performance With social media marketing, the power is derived from being able to directly communicate with consumers
Tapping the benefits of business analytics and optimization
IBM Sales and Distribution Chemicals and Petroleum White Paper Tapping the benefits of business analytics and optimization A rich source of intelligence for the chemicals and petroleum industries 2 Tapping
Loyalty. Social. Listening
Loyalty Social Listening Listen Understand Engage We integrate Social Listening data with existing research and other data to help our clients drive brand preference and customer loyalty Loyalty Social
EXECUTIVE MASTER IN. Increasing corporate value in today s complex digital world through reputation management and communication with stakeholders.
EXECUTIVE MASTER IN CORPORATE COMMUNICATION Increasing corporate value in today s complex digital world through reputation management and communication with stakeholders. COURSE DESCRIPTION At a Glance
CUSTOMER EXPERIENCE DESIGN CUSTOMER EXPERIENCE DESIGN
02 03 FIFTH QUADRANT Established in 1998, Fifth Quadrant is a Management Consultancy and Analyst Organisation specialising in: METHODOLOGIES USED CUSTOMER EXPERIENCE STRATEGY CUSTOMER EXPERIENCE RESEARCH
ProClarity Analytics Family
ProClarity Analytics Platform 6 Product Data Sheet Accelerated understanding The ProClarity Analytics family enables organizations to centrally manage, store and deploy best practices and key performance
BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA
BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA Agenda Promise Definition Drivers of and for Big Data Increase revenue using Big Data Power Optimize operations and decrease costs Discover new revenue
Dashboards as a management tool to monitoring the strategy. Carlos González (IAT) 19th November 2014, Valencia (Spain)
Dashboards as a management tool to monitoring the strategy Carlos González (IAT) 19th November 2014, Valencia (Spain) Definitions Strategy Management Tool Monitoring Dashboard Definitions STRATEGY From
PRACTICAL USE CASES BPA-AS-A-SERVICE: The value of BPA
BPA-AS-A-SERVICE: PRACTICAL USE CASES How social collaboration and cloud computing are changing process improvement TABLE OF CONTENTS 1 Introduction 1 The value of BPA 2 Social collaboration 3 Moving to
Executive Coaching Services Description of Program Components
Executive Coaching Services Description of Program Components Coaching is essential to ensuring successful, engaged leaders with the skills necessary to meet current and future challenges. At Fenestra
Taking A Proactive Approach To Loyalty & Retention
THE STATE OF Customer Analytics Taking A Proactive Approach To Loyalty & Retention By Kerry Doyle An Exclusive Research Report UBM TechWeb research conducted an online study of 339 marketing professionals
Elevate Customer Experience and Engagement in the New Digital World
Elevate Customer Experience and Engagement in the New Digital World John Chan CRM Solutions Lead, Microsoft Business Solutions Microsoft Asia Customer buying behavior has fundamentally changed therefore,
Achieving customer loyalty with customer analytics
IBM Software Business Analytics Customer Analytics Achieving customer loyalty with customer analytics 2 Achieving customer loyalty with customer analytics Contents 2 Overview 3 Using satisfaction to drive
Judgement. You make thousands of decisions every day, from the mundane to the momentous. How many will you get right? hoganjudgement.
Judgement You make thousands of decisions every day, from the mundane to the momentous. How many will you get right? hoganjudgement.com hoganjudgement.com 2014 Hogan Assessment Systems PERSONALITY AND
Designing a Metrics Dashboard for the Sales Organization By Mike Rose, Management Consultant.
Designing a Metrics Dashboard for the Sales Organization By Mike Rose, Management Consultant. Metrics can serve as critical measures of success for any organization and, in particular, the sales force
TURN BIG DATA INTO A BIGGER ROI BIG DATA ANALYTICS FOR IMPROVED HEALTHCARE ROI
TURN BIG DATA INTO A BIGGER ROI BIG DATA ANALYTICS FOR IMPROVED HEALTHCARE ROI 90% of the world s data has been created in the last TWO years! PART OF THE PROBLEM IS TOO MUCH INFORMATION 95% of this data
RETHINKING DIGITAL SELLING
RETHINKING DIGITAL SELLING BEST PRACTICES FOR MAXIMIZING RESULTS AND ROI Guiding Principles For Rethinking Your Digital Selling Strategy It s been nearly four years since reps started using tablet-based
T O O L K I T. 5 Steps to Build a Hosting Business. Hosting Business Tool Kit
5 Steps to Build a Hosting Business HOSTING BUSINESS T O O L K I T Strategies and Tactics to PLAN, GROW and PROFIT as a Hosting Service Provider Internet Names for Business Inc. All rights reserved. Page
Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions
Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions Overview The main thrust of the tutorial is to compare and contrast Business Intelligence (BI) Platforms to develop business
BI STRATEGY FRAMEWORK
BI STRATEGY FRAMEWORK Overview Organizations have been investing and building their information infrastructure and thereby accounting to massive amount of data. Now with the advent of Smart Phones, Social