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, 2016. Call in at 10:55 a.m. Eastern time

. . . 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

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

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

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

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

Representative vendors Information Builders and SAS

Representative vendors OpenText Actuate and MicroStrategy

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

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)

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

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

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

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

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

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

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.

Boris Evelson bevelson@forrester.com http://www.forrester.com/Boris-Evelson http://blogs.forrester.com/boris_evelson https://www.linkedin.com/in/bevelson https://www.facebook.com/ForresterBI Twitter: @bevelson