For Enterprise Architecture Professionals

REPORT: Reclaim Your Semantic Desert To Monetize Your Data

Use Machine Learning Data Catalogs To Automate Semantics At Scale

September 7, 2018Michele Goetz

Data management has relied heavily on the logical and physical aspects of data and systems. The result? Rigid, brittle systems that don't support multiple use cases or adapt quickly to new business scenarios. Adding semantics to the data equation means data isn't stuck waiting to be monetized from the lake — it is ready for activation in the digital business. This report breaks down how data and information architects can hydrate the semantic desert and invest in technology that ensures data lake and big data fabric investments achieve intended business outcomes.

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, 2018Michele 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: Now Tech: Machine Learning Data Catalogs, Q1 2018

Forrester's Overview Of 23 Machine Learning Data Catalogs

March 27, 2018Michele Goetz

You can use machine learning data catalogs (MLDCs) to interpret and optimize the use of disparate data sources, reconcile policies across data use, and democratize data to the edge of business. But to access these benefits, you'll first have to select from a diverse set of vendors — vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) professionals should use Forrester's Now Tech report to understand the value they can expect from an MLDC provider and select vendors based on functionality and role affinity.

For CIO Professionals

REPORT: Use Forrester's AI Activation Framework For AI Results

The AI Operating Model Is About Much More Than Tech

March 23, 2018Michele Goetz

Robots don't come out of the box ready to take on a task. They must learn. And contrary to other analytic capabilities designed and optimized to answer a question or output a result, robots operate in more nuanced and ambiguous business scenarios. You must define them using expertise and experience in their environment. Sound humanlike? That's the point! This report provides CIOs with lessons learned for building an operating model that will create the employee of the year and avoid Frankenstein's monster.

For Enterprise Architecture Professionals

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

February 16, 2018Michele 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.