2. Boris Evelson, Vice President, Principal Analyst
WEBINAR Use Forrester’s 10-Step Methodology For Shortlisting BI Vendors
Boris Evelson, Vice President, Principal Analyst
February 24, Call in at 10:55 a.m. Eastern time

4. . . . but anecdotal evidence does not support such a rosy picture.
Most organizations say they use products from just a few BI vendors . . .
. . . but anecdotal evidence does not support such a rosy picture.
Source: “Benchmark Your BI Environment For Continuous Improvement” Forrester report

5. Reasons for multiple BI platforms
Legacy platforms
M&A
Shadow IT

6. BI vendor landscapes are often ineffective
IT-centric versus user- centric is no longer a differentiator.
Data visualization is a feature of all BI platforms.
BI versus analytics differentiation is disappearing. A B C D

7. Source: “Vendor Landscape: Forrester's 10-Step Methodology For Shortlisting BI Vendors” Forrester report

8. Representative vendors
IBM, Infor, Microsoft, Oracle, Salesforce, and SAP

9. Representative vendors
Information Builders and SAS

10. Representative vendors
OpenText Actuate and MicroStrategy

11. Representative vendors
Advizor Solutions, BOARD Int’l, Panorama Software, Qlik, Tableau Software, Tibco Spotfire, and Sisense

12. Representative vendors
1010data, Adaptive Insights, Bime, Birst, GoodData, DataHero, Domo, Klipfolio, Matillion, Rosslyn Analytics, and Salesforce Wave
(in addition to the cloud deployment options from most of the vendors in the other categories)

13. Representative vendors
BPM-Conseil Vanilla, Pentaho, SpagoBI Labs, and Tibco Jaspersoft

14. Representative vendors
BI data prep
too little
ETL
too much
Representative vendors
just right
Alteryx, Birst, Datawatch, Lavastorm Analytics, OpenText Big Data Analytics, Prognoz, Rosslyn Analytics, and Sisense

15. Representative vendors
Exago, InetSoft Technology, JReport (Jinfonet Software), Logi Analytics, Looker Data Sciences, Yellowfin International, as well as OSS BI vendors

16. Representative vendors
Native Hadoop BI platforms: Arcadia Data, Datameer, Kyvos Insights, Platfora, Treasure Data, and Zoomdata
Structured/unstructured data BI platforms: Attivio, IBM Watson Explorer, and Oracle Big Data Discovery
Cognitive BI: BeyondCore and IBM Watson Analytics

18. Leverage Forrester Waves for vendor evaluation and selection
The Forrester Wave™: Enterprise Business Intelligence Platforms, Q1 2015
The Forrester Wave™: Agile Business Intelligence Platforms, Q3 2015

19. Minimum practical number of BI platforms
Enterprise BI platform
Agile BI
Embedded BI
Finance: budgeting and planning
Off-the-shelf BI applications ~5

20. Recommendations: best practices for managing multiple BI platforms
Deploy BI on BI to eliminate redundant and unused objects.
Consolidate/rationalize the data management layer of the BI stack. Data virtualization
Consolidate the metrics management layer of the BI stack.
Deploy a single mobile BI platform.
Build and deploy BI knowledge management application/portal.

21. Boris Evelson bevelson@forrester.com