SAS - Further Information

The Bloor data governance market update covers trends in the market and assesses the innovators, challengers and champion vendors.

Bloor has published its Market Update for Data Quality 2023, covering the main trends in the market and assessing the key vendors.

Market Update of the Data Quality Enterprise Software Market in 2022, including data profiling, merge matching, data enrichment, data cleansing, monitoring.

Streaming analytics extracts actionable insights from streaming data in real-time. This report discusses the streaming analytics space and its solutions.

SAS ESP is an event stream processing platform that enables streaming analytics by applying SAS’s existing analytics capabilities to data in motion.

This report is about assuring the quality and provenance of your data from both internal and external perspectives.

AnalyticOps is about the reduction of friction around the delivery, operationalisation and ongoing monitoring and (change) management of analytic models.

SAS offers a variety of products (Model, Decision and Workflow Managers) built around the idea of operationalising your analytics.

This document provides a snapshot of the current state of the Data Quality market.

Predictive analytics refers to the ability to predict events before they occur, allowing you to take remedial action in advance. Prescriptive analytics extends this concept by either suggesting the actions you should take or automating those actions.

How does ML/AI work, who are the vendors and why you should care?

This Market Update considers both stream processing platforms upon which you might build analytics as well as streaming analytics platforms per se.

SAS has been offering stream processing for a number of years, especially for fraud applications. However, a major driver is now the Internet of Things (IoT) and applications such as predictive maintenance and smart “anything”.

Streaming analytics enables businesses to respond appropriately and in real-time to context-aware insights delivered from fast data.

There have been significant changes in this market over the last twelve months.

By data quality we mean both data cleansing (matching, deduplication, error correction, enrichment et al) as well as data profiling and discovery.

The market for data governance is diffuse. Historically, there have been, and remain, several different sectors...

There are several distinct market sectors within data migration. For example, there are specific application migrations to, for example, the latest version of SAP.

While there are trends towards including more discovery capability and towards supporting NoSQL the vendors are significantly fragmented at present.

This document provides a snapshot of the current state of the Master Data Management (MDM) market.

Some latest news from vendors in the Hadoop and/or big data space

Preventative maintenance and asset optimisation are not the same thing