For Enterprise Architecture Professionals

REPORT: The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018

The 12 Providers That Matter Most And How They Stack Up

June 21, 2018 Michele Goetz

In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.

For Enterprise Architecture Professionals

REPORT: The Forrester Wave™: Big Data Fabric, Q2 2018

The 15 Providers That Matter Most And How They Stack Up

June 12, 2018 Noel Yuhanna

Big data fabric, an emerging platform, accelerates insights by automating ingestion, curation, discovery, preparation, and integration from data silos. Forrester identified the 15 most significant big data fabric vendors — Cambridge Semantics, Cloudera, Denodo Technologies, Hitachi Vantara, Hortonworks, IBM, Informatica, Oracle, Paxata, Podium Data, SAP, Syncsort, Talend, TIBCO Software, and Trifacta — and researched, analyzed, and scored them against 26 criteria. This report shows how each vendor measures up and helps EA pros make the right choice.

For Enterprise Architecture Professionals

REPORT: Now Tech: Big Data Fabric, Q2 2018

Forrester's Overview Of 18 Big Data Fabric Vendors

April 17, 2018 Noel Yuhanna

You can use big data fabric to provide a comprehensive view of data resources, secure big data sources, and accelerate big data initiatives. But to access these benefits, you'll first have to select from a diverse set of vendors — vendors that vary by size, geography, and vertical market focus. Enterprise architecture (EA) professionals should use Forrester's Now Tech report to understand the value they can expect from a big data fabric provider and select vendors based on size.

For Customer Insights Professionals

REPORT: Q&A: Six Questions To Ask Before Diving Into Text Analytics

Make The Most Of Your Textual Enterprise Data

April 4, 2018 Boris Evelson, Elizabeth Cullen

Your company's understanding of its customers will be incomplete unless you can harness all types of enterprise data — structured and unstructured. While customer insights (CI) pros are comfortable with structured data analysis, they are only beginning to explore opportunities to use text analytics. In this report, CI pros will get answers to six key questions before they start on an often perilous journey of mining and analyzing unstructured enterprise data. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy. We have elaborated on the uses cases and methods for text analytics in this update.

For Enterprise Architecture Professionals

REPORT: Battle Of The Data Lakes: Customer Insight Versus Enterprise Platform

February 16, 2018 Michele Goetz

The race for the most compelling customer experience (CX) is intensifying, and customer insights are the rocket fuel for CX engines. But internal battles over the "right" scope for a data lake — enterprisewide versus customer focused — are getting in the way of many firms' progress. Enterprise architecture (EA) pros should read this report to learn Forrester's strategy for a productive and effective data lake coexistence strategy.