Right Insight - Further Information

An Enterprise Information Architecture can be viewed as the operating system of the Enterprise by means of which all applications are deployed and executed.

Alation is a modern data catalog product with artificial intelligence underpinnings.

Generative AI has many use cases across industries as well as some limitations.

Generative AI is the latest computing technology to take the world by storm. In this report, we discuss various data architectures for generative AI.

Teradata ClearScape Analytics refers to the analytic capabilities that are available within Teradata Vantage and that underpin all Vantage deployment options.

The future of DevOps is a vital business concern. A current issue is transforming DevOps agility into real Business agility.

Observability is a child of DevOps. It is a collection of tools, techniques & best practices. It allows SREs, SecOps and ITOps to understand how app code behaviour affects business services.

IT is critical for financial services companies & often the prime or only source of competitive advantage.

Learn how Gathr is used in automotive insurance for breakthrough success, including customer analytics, CRM analytics, churn prediction, and more.

Vertica is a unified analytics platform built on top of a SQL data warehouse.

Teradata Vantage is a data warehousing and analytics solution with a variety of deployment options. This report examines it as a cloud solution specifically.

The World Economic Forum has characterized AI driven automation as the lynchpin of a Fourth Industrial Revolution.

Rumi is a software platform that enables enterprises to embed rich, real-time analytical data processing directly into their transactional applications.

Virtana is a SaaS based modular platform for migrating and optimizing capacity, performance, and cost across cloud environments.

KeyLines is a graph visualisation product that allows you to examine relationships between entities and/or events.

Time-series databases represent the fastest growing database sector over the last two years.

TrendMiner is a self-service analytics solution designed for domain experts within the process manufacturing space.

Teradata Vantage is the only product that we are aware of that has all the 4D capabilities that you might need.

Trendalyze describes its core capability as the discovery of motifs (micro-trends) and anomalies within time series data.

Spotfire is a broad, general-purpose analytics offering that encompasses data visualisation, business intelligence, analytics and data preparation.

Interana is a self-service platform for “behavioural discovery and analysis” that is intended for use by business analysts.

VictoriaMetrics offers long-term remote storage for Prometheus, which is a Linux Foundation open source time-series database and monitoring system.

TimescaleDB is built on top of PostgreSQL as a database intended to specifically support the requirements of time-series data.

This paper explores “dimensional analytics”, by which we mean analytics that requires an understanding of the dimensions of time and space.

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

TIBCO Data Science is an analytics and data science platform with a notably broad remit. This focuses on the model management capabilities of the product.

Teradata AnalyticOps Accelerator is a software and services offering comprised of best practices, proven design patterns, and tried-and-tested code.

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

IBM Watson OpenScale is a platform that is specifically targeted at operationalising AI (augmented intelligence) models.

Experian PowerCurve is a decision management platform upon which the company delivers a variety of customer-centric and analytically driven decision solutions.

CHAOSSEARCH is a cloud-native, long-term log and event analytics service running on Amazon S3.

This paper discusses DataRobot, an automated machine learning platform targeted at the enterprise.

Limited, or no, technological capability with respect to AI is holding many companies back. This paper discusses how IBM Cloud Pak for Data can help.

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?

While this paper focuses on Software AG Apama it is not a review of Apama per se, but rather of Software AG’s approach to IoT Analytics.

Ixiwa might best be described as a data lake management product that covers everything from automated ingestion, through discovery and cataloguing to data preparation.

Memgraph is a property graph database targeted primarily at hybrid analytic and transactional environments.

The Cray Graph Engine is an RDF database that runs on a variety of Cray hardware platforms.

ArangoDB is a multi-model database that supports document (JSON), key-value and property graph capabilities with one database core and one declarative query language.

Neo4j is a labelled, property graph database with a native engine that is targeted at operational and hybrid operational/analytic use cases.

Grakn is a graph-based platform for developing cognitive and other applications leveraging artificial intelligence.

This paper focuses on the synergies between the products that SentryOne has been developing and marketing since it was founded, and those which it gained when it acquired Pragmatic Works Software in April 2018.

This paper compares different approaches to reporting against the Oracle E-Business Suite (EBS). Originally published in 2013, revised in 2015, and now in 2018.

A look at how by combining CPM and BI capability, Board International offers insight that separate technologies cannot match.

Trendalyze describes its core capability as the discovery of motifs (and anomalies) within time series data. You can think of a motif as a micro-pattern but it is more accurately a shape. Once a motif of interest is discovered, or…

The UK government has little option but to rethink the way it operates by moving beyond digital transformation to digital reinvention.

Zizo provides analytics as a service with its solution targeted at all classes and sizes of organisations.

The Internet of Things can best be imagined as a concentric series of capabilities that start at the edge with sensors and devices of various kinds.

While the distinctive features of financial reporting are re-iterated (briefly) from the previous version of this paper the focus is on EPM.

This paper initially started as an investigation into comparative pricing for BI solutions and then evolved into a consideration of TCO for such environments.

NuoDB is a very interesting product, both from a conceptual and an architectural point of view.

IBM is in the vanguard for what it calls an enhanced 360° view and it is clearly well positioned to capitalise on the future growth of this market.

In this paper we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended it represents an opportunity.

InterSystems Ensemble is not quite like any other product in the market ...

There has been some significant criticism of the concept of big data recently, notably in the Harvard Business Review criticising the Google Flu Trends...

Bloor was asked by InsightSoftware.com to conduct a survey into the costs and benefits of different financial budgeting and planning solutions...

This paper examines approximate query processing (AQP) as an approach to particular types of query where approximations are appropriate.

Bloor Research was asked to compare the performance capabilities of the leading business analytic platforms.

Maximising your information resources means being able to access all of your data, regardless of where it resides and irrespective of the format it may be in.

This paper is about how business intelligence complements analytic processes and applications - and how both of these are complemented by data governance.

In this paper we will explore some of the use cases around investigative analysis and how that can be applied to the Internet of Things.

This paper compares different approaches to reporting against the JD Edwards (Oracle) EnterpriseOne and World ERP application suites.

In this paper we will describe some of the key analytic areas that are important to telecommunications companies and discuss the argument in favour of using third party analytic application providers.

Usage-based billing services, and provision usage analytics input as a service, will be an important feature of the next-generation software-driven and service-oriented businesses.

Sybase IQ is a column-based relational database that has been designed specifically for analytics and business intelligence applications.

Interactive Medica's SaaS-based Application Suite is optimised for Life Sciences companies. CRM, KAM embedded analytics and KPI dashboards are included.

The basic theme of this paper is to provide a comprehensive comparison of IBM and Oracle's offerings for data warehousing and OLTP.

Whether it is to better understand customer behaviour, optimise your supply chain or to recognise and prevent fraud, it should be clear that there is significant value to be derived from advanced analytics and in-database analytics as a discipline.

In-place analytics processing will mean that network bottlenecks can be eliminated, while the high performance processing should deliver significantly faster time to insight.

There is significant value to be derived from advanced analytics and its implementation in-database.

There are certain rules that all suppliers of embedded database products to OEMs and ISVs must follow.

In this white paper we are concerned with analytic environments where it is important to be able to include web-based data within your analyses.

The primary value in analytic warehouses is in supporting complex and ad hoc analytic queries with sufficient performance to meet business needs and support service level agreements.

The value of business intelligence software as a decision support tool is well established but is presently a long way short of what it might be.