Introducing 2-Tier BI and Analytics

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Brook Craig
6 years ago
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1 Introducing 2-Tier BI and Analytics

2 A couple quick questions 1. Part of your mission is to drive a data-driven organization? 2. Have some sort of common version of the truth? 3. Good idea to let business users answer their own questions? Is it hard to do # 2 and #3 at same time to drive #1? 2

3 The trade off Data Governance Business Agility 3

4 Unprecedented convergence of opinion 4

5 Next? Move Beyond the Pendulum Agility Governance 5

78 individual countries with consistency of one company Challenges Rapid international growth with 50% Net Revenue from rest of the world Each country POS and data systems unique, no common way to

6 78 individual countries with consistency of one company Challenges Rapid international growth with 50% Net Revenue from rest of the world Each country POS and data systems unique, no common way to get reporting/analytics across them Lack reliable sell in / sell out visibility and analytics Initial Implementation Complete view of sales > distributor > shop > customer Deploy rapidly across 78 countries, with minimal IT involvement Results Optimized sell in to sell through Rapid country stamp, customize, go deployment Instances in US, Dublin, Singapore and on-premise This is the first analytics implementation with the performance and data breadth that we see will get universal adoption Wilmer Peres, Head of BI and Analytics 6

7 How it works 7

8 User Data Tier: the foundation User Data Tier Live Access Automated Data Refinement Semantic (Governance) Layer User-ready Data Store Live Access Enterprise Data Tier ERP, CRM, SCM Data Warehouse Existing Data Stores Apps + Big Data 8

Columns Logical Dimension Tables Logical Measure

9 Live Access Mapping data where it lies Mappings can exist for both managed and external tables Logical Columns Logical Dimension Tables Logical Measure Tables Hierarchies Physical Tables Physical Columns Joins 9

10 Automated Data Refinement (ADR)*: Enabling rapid production of user-ready data The physical data warehouse structures are automatically modeled and deployed Data extract processes are automatically deployed A logical multi-dimensional semantic layer is automatically mapped onto the physical tables in the relational data warehouse ü Model used to generate queries automatically vs. write them manually ü Normal business users can click around and Birst generates complex, multi-pass SQL to generate the results 10

11 2-Tier BI & Analytics 11

12 Adaptive User Experience required for enterprise Every consumer becomes a producer" " Fit your current Experience" " Adapts to your modern mobile work style 12

13 Open client interface #1 Spreadsheet Application #1 Visual" Analyst Tool #1 Predictive Analyst Tool Driving the Use of Analytically Ready Data Everywhere 13

14 Virtual BI 14

15 Yesterday single tenant BI BI Instance 1 (e.g. Sales Dev) BI Instance 2 (e.g. Sales UAT) BI Instance 3 (e.g. Sales Prod) BI Instance 6 (e.g. Sales Forecasting Prod) BI Instance 4 (e.g. Sales Forecasting Dev) BI Instance 5 (e.g. Sales Forecasting UAT) BI Instance 7 (e.g. Sales Prod Cluster) 15

16 Virtual BI Architecture enables Networked BI Traditional Desktop Discovery Networked BI Central BI Marketing Manager Bookings list Sales forecast Employee hiring Sales Ops Sales Analyst Finance & HR 16

17 Today Birst multi-tenant 2.0 Unification of enterprise data + local data resources Global Business Models & Spaces Sales Marketing Finance Global Users Global Data Sources Country Users LOB 1 LOB 1 Subsid Distrib Local Data Sources Different Territories and Lines of Business 17

18 Next generation BI architecture Yesterday Monolithic Single Instance/Single Use Governed OR Self-service Waterfall or Desktop Analytical Data Silos Today Virtualized Logical Instance/Multi-tenant Governed AND Self-service Agile development for organization-wide problems Networked Data 18

19 2-tier in the real world 19

20 Video of RB CIO Darrel Stein 20

21 Networked BI: fastest growing global CPG Global Business Models & Spaces Sales Marketing Finance Global Users Global Data Sources Country Users Brazil China Russia India Local Data Sources Different Territories and Lines of Business 21

22 Cloud agility for modern enterprise Centralized global data blended with 22 local markets Month January February March April May June July August September Octobe Priority Drivers Market Wave PM TE SIR 5- Jan 12- Jan 19- Jan 26- Jan 2- Feb 9- Feb 16- Feb 23- Feb 2- Mar 9- Mar 16- Mar 23- Mar 30- Mar 6- Apr 13- Apr 20- Apr 27- Apr 4- May 11- May 18- May 25- May 1- Jun 8- Jun 15- Jun 22- Jun 29- Jun 6- Jul 13- Jul 20- Jul 27- Jul 3- Aug 10- Aug 17- Aug 24- Aug 31- Aug 7- Sep 14- Sep 21- Sep 28- Sep 5- Oct Turkey 0 Y Y SIR 2.0 Nigeria 0 Y Y SIR 2.0 * NIGERIA/AFRICA/KENYA WILL ALL BE IN ONE SPACE South Africa 0 Y Y SIR 2.0 MENA 0 Y Y SIR 2.0 Brazil** 0 Y Y SIR Pakistan 1 Y SIR 2.0 India* 1 Y Y SIR Indonesia 1 Y SIR Kenya 2 Y SIR 2.0 Mexico 2 Y China/HK 2 Y Y N Africa 2 Y Thailand 3 Y Argentina 3 Chile 3 Japan 4 Korea 4 Costa Rica 4 Colombia 4 BD/SL 5 Phillipines 5 Malaysia 5 22

23 About Birst 23

24 Who is Birst? 2015 Critical Capabilities for Business Intelligence and Analytics Platforms Leader in Cloud BI & Analytics Founded by BI industry veterans Disrupting traditional BI models Defining the next generation standard for enterprise BI* Bridging the gap between centralized and " decentralized analytics Support thousands of global companies Birst has defined the pioneering vision of what a set of cloud BI and analytics capabilities should look like. 24

25 1000s of global companies using Birst Sales Marketing Customer/Service Enterprise-Wide BI Finance Operations Embedded 25

Modernize your BI now Learn more at www.birst.

26 Modernize your BI now Learn more at View other customer testimonials, see product in action Download our 2-tier whitepaper at info.birst.com/2-tier-wp Contact us for Modern BI Jump Start program Identify a use case and see value in weeks Watch a live demo See Birst in action info.birst.com/livedemo 26

27 Thank you 27

INTRODUCING BIRST INFOR S GO-FORWARD BUSINESS INTELLIGENCE SOLUTION

INTRODUCING BIRST INFOR S GO-FORWARD BUSINESS INTELLIGENCE SOLUTION BIRST BI & ANALYTICS Connecting organizations through analytics Nick Cicero Regional Sales Director Rob Krause Sr. Solution consultant