Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short

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Abner Smith
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1 Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short Vijay Anand, Director, Product Marketing

2 Agenda 1. Managed self-service» The need of managed self-service» Issues with real-world BI implementations» The ideal solution, and its benefits» How to incrementally implement managed self-service» Why other vendors fail with Managed Self-Service 2. MicroStrategy s approach to managed self service» Self-Service capability» Implementing managed/governed self-service 3. How to ensure success and improve adoption 2

ideal solution, and its benefits» How to incrementally implement managed self-service» Why other vendors

Enterprise Capabilities are Necessary for Self-Service Success By 2015, enterprise buyers of BI platforms will predominantly purchase platforms that support both strong and broad

3 Enterprise Capabilities are Necessary for Self-Service Success By 2015, enterprise buyers of BI platforms will predominantly purchase platforms that support both strong and broad business-user-accessible data discovery capabilities and IT-driven enterprise features for data reuse, governance, security, and scalability MQ for BI and Analytics Platforms 3

business-user-accessible data discovery capabilities and IT-driven enterprise features for

4 What is Managed Self-Service Empowering Fast and Easy Trusted Empowers users with world-class data selfservice analytics. Deploys rapidly. Makes it easy for everyone to get started quickly. Delivers trusted, reliable data and analytics. Comprehensive Scalable Does more than just basic data discovery. Doesn t hit a performance wall with Big Data analytics or large user volumes. 24/7 Seamless access on web, mobile, or desktop. 4

Delivers trusted, reliable data and analytics.

5 Market Dynamics within Organizations Challenges with real-world BI implementations VS Business guy. Needs answers fast. IT guy. Concerned about security and governance. 5

6 Unmanged Vs Managed Self-Service Analytics A number of small analytical silos emerge to satisfy the one-off or quick data analysis needs of business Enterprise-wide data model The centralized BI project acts as a system or record reporting environment for important applications 6

needs of business Enterprise-wide data model The centralized BI

7 Issues Arising from Unmanaged Self-Service Short Term Victories Lead to Long Term Issues Issues for IT Spreadmart of analytical silos with conflicting information Adoption of the enterprise BI system is affected Issues for Business Conflicting KPIs Redundant data analysis Business gets a subject-oriented view of information Strategic Issues Long-term analytical maturity of business is affected 7

is affected Issues for Business Conflicting KPIs Redundant data analysis Business gets a

8 Ideal Approach to Managed Self-Service Centralized Enterprise-wide Schema Layer data model Data Warehouse Data Marts Operational Databases Multi-Dimensional Databases 8

9 Ideal Managed Self-Service Deployment 9

10 Ideal Managed Self-Service Deployment 10

11 Ideal Managed Self-Service Deployment 11

12 Ideal Managed Self-Service Deployment 12

13 Ideal Managed Self-Service Deployment 13

14 Ideal Managed Self-Service Deployment 14

15 Ideal Managed Self-Service Deployment 15

16 Ideal Managed Self-Service Deployment 16

17 Ideal Managed Self-Service Deployment 17

18 Ideal Managed Self-Service Deployment 18

19 How to Incrementally Implement Managed Self-Service Enterprise-wide data model

20 MicroStrategy s Approach Managed Self-Service 20

21 MicroStrategy Self-Service

22 Self-Service Governance Cycle MicroStrategy offers Enterprise Capabilities to Achieve Managed Self-Service 22

23 Governance Cycle CONFIGURE Prepare your BI Self-Service Environment Obtain Appropriate Licenses for Data Import, Visual Insight Features Capabilities available with MicroStrategy Web Product Identify potential ad-hoc users and provide them access to Data Import ACL to allow/deny access to Data Import Functionality Govern Data Import memory of ad-hoc users Max size of file imported per user Max memory usage per user Setup the project to suit your unique organizational needs Single Server and single project Multiple servers multiple projects 23

24 Governance Cycle CONFIGURE Prepare your BI Self-Service Environment SOR AD HOC SINGLE PROJECT SOR AD HOC SOR AD HOC Fewer Resources Easier to Setup, Manage, Replicate Resource Contention Separate Infrastructure Additional Tools to Manage Object Transfer Increased Flexibility for Users 24

25 Governance Cycle MONITOR Observe and Track Ad-hoc Usage Acquire Automated Monitoring Capabilities Enterprise Manager is available with MicroStrategy Server Product Setup Monitoring Infrastructure Setup Statistics Database Create Enterprise Manager Reports Track Most Popular Ad-hoc Scenarios Cubes with maximum hits Reports Accessed most frequently Most Active Ad hoc users 25

26 Governance Cycle MONITOR Observe and Track Ad-hoc Usage Enterprise Manager Sample Dashboard

27 Governance Cycle MONITOR Observe and Track Ad-hoc Usage Enterprise Manager Sample Dashboard

Governance Cycle IDENTIFY Identify Applications Best Suited for Certifications Prioritize Applications based on Usage How beneficial is this Use Case Are the Number of consumers significant Overall

28 Governance Cycle IDENTIFY Identify Applications Best Suited for Certifications Prioritize Applications based on Usage How beneficial is this Use Case Are the Number of consumers significant Overall purpose Is there Cross functional Impact Prioritize Based on Data Source and Content Does Data Exist in Certified Environment Does Data conform to existing BI structure Create Best Practices for Data unavailable in Certified Environment 28

Governance Cycle PROMOTE Consolidate Data Sources into Certified Environment Incrementally add Self-Service Data to SOR Data Blending No Architecting required Multisource Architecting Required

29 Governance Cycle PROMOTE Consolidate Data Sources into Certified Environment Incrementally add Self-Service Data to SOR Data Blending No Architecting required Multisource Architecting Required Single DWH Architecting is recommended (cross functional reporting) Recreating dashboards - VI to RSD Added BI functionality, and enterprise reporting capability Mobile functionality Improve performance 29

30 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis 30

31 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis MONITOR IT Maintains Data Governance and gradually grow BI projects IT Maintains Data Governance and gradually grow BI projects 31

32 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Business Users Continue Using their Dashboards MONITOR IT Maintains Data Governance and gradually grow BI projects 32

33 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Dashboards continually used till certified copies are ready MONITOR IDENTIFY IT Maintains Data Governance and gradually grow BI projects 33

34 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Dashboards continually used till certified copies are ready MONITOR IDENTIFY PROMOTE IT Maintains Data Governance and gradually grow BI projects 34

35 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Dashboards continually used till certified copies are ready Business starts using certified copies MONITOR IDENTIFY PROMOTE IT Maintains Data Governance and gradually grow BI projects 35

Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Dashboards continually used

36 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Dashboards continually used till certified copies are ready Business starts using certified copies MONITOR IDENTIFY PROMOTE IT Maintains Data Governance and gradually grow BI projects 36

37 Sustainable Enterprise Data Discovery Business do not have to wait and wants agility Business users create their own analysis Dashboards continually used till certified copies are ready Business starts using certified copies MONITOR IDENTIFY PROMOTE IT Maintains Data Governance and gradually grow BI projects 37

Sustainable Enterprise Data Discovery Communicate the strategic benefits to Executives Communicate benefits to Business & Partner Actionable & modeled data is a valuable corporate asset No wait,

38 Sustainable Enterprise Data Discovery Communicate the strategic benefits to Executives Communicate benefits to Business & Partner Actionable & modeled data is a valuable corporate asset No wait, clean data, reliable KPIs, cross-functional visibility Managed self-service is long-term data analysis strategy No more redundant analysis and data extraction Data silos are short-term wins with bad long-term effects Identify analytics leaders, form analytics competency group Identify the users who will benefit the most from Managed self-service Incrementally deliver value by implementing the governance cycle Static report Consumers Centralized/ Controlled The dull side Interactive report consumers Ad-hoc query/ OLAP users Self-service BI Data Explorers Decentralized/ Autonomous One-off data analysts The dark side Measure success 38

39 MicroStrategy Self-Service World

Enterprise Data Discovery Hands-On Workshop Track 13 Intro to Enterprise Data Discovery Access Any Data and Prepare for Analysis Analyze Your Data

web pages Create Advanced Metrics & Integrate D3 library Connect to Server for Governed Data Discovery Integrating R into Enterprise Data Discovery

40 Enterprise Data Discovery Hands-On Workshop Track 13 Intro to Enterprise Data Discovery Access Any Data and Prepare for Analysis Analyze Your Data and Visualize the Insights Share Your Dashboard and Collaborate Advanced Enterprise Data Discovery Connect to Advanced Data Sources Scrape data from web pages Create Advanced Metrics & Integrate D3 library Connect to Server for Governed Data Discovery Integrating R into Enterprise Data Discovery Build Metrics using 300+ inbuilt Analytical Functions Set up and use R Advanced Analytics Functions Visualize Advanced Analytics with D3 Visualizations

Data Data Wrangling Personal/Departmental Cloud

41 Early Adopter Program MicroStrategy 10 Self-Service Capabilities MicroStrategy Modeled Data Data Wrangling Personal/Departmental Cloud Databases Big Data BRAND NEW HTML 5 UX FOR FASTER EXPERIENCE

42 Visualization Challenge Exhibit Hall 42

43 MicroStrategy 9s Free recommended Security upgrade Contact us to find out what programs we have for you. 43

Deploying Governed Data Discovery to Centralized and Decentralized Teams. Why Tableau and QlikView fall short

Deploying Governed Data Discovery to Centralized and Decentralized Teams Why Tableau and QlikView fall short Agenda 1. Managed self-service» The need of managed self-service» Issues with real-world BI