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Boardwiser NLG

Boardwiser NLG Anomaly Detection and Summation

Boardwiser NLG incorporates best-in-class machine learning and natural-language generation (NLG) to ensure that the relevant driver factors behind KPI changes are detected and communicated without the need for manual analysis. It automatically and accurately identifies report-worthy outliers and summarizes them for easy subsequent analysis and reporting.

Key Benefits

Speed up reporting

Automatically receive natural-language-generated explanations and summaries of key events in an easy-to-consume way.

Improve human input

Free up analysts from manually digging through countless dashboards so they can focus on tasks where human input adds the greatest value.

Get reliable insights

Ensure that all relevant changes in your data are identified and explained clearly and in a timely manner, without unnecessary noise.

Drive innovation

Provide a constant stream of insights to uncover opportunities for improving systems, processes and products.

What Boardwiser NLG Does

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Key Features

Flexible and portable

In addition to enabling quick implementation, Boardwiser NLG’s architecture makes it suitable for a broad variety of use cases. And since the solution doesn’t necessitate hard-coding processes, it’s easily adaptable to additional processes within the organization.

Configurable to your insight needs

Boardwiser NLG is highly configurable to ensure that you always get the data that’s relevant to you. For example, you can set it up to always produce insights so that even the smallest anomalies get highlighted and explained or get only the most impactful details.

On-demand, easy-to-consume data

Insights are delivered on demand, in the format of your choice — in a dashboard, via email, etc. — with human-like, non-repetitive fluency and high fidelity to make the information accurate and easy to understand.

Automates and streamlines analytical tasks

Boardwiser NLG highlights the driving factors behind the anomalies that it detects to improve reporting speed without compromising quality, and even enables users to drill down into the data, all the way to the smallest relevant data point.

Architecture

Boardwiser NLG Architecture

Boardwiser NLG can use various kinds of input data (structured text, database, etc.) and has configuration storage as well, which can store parameters for the anomaly detection, the credentials for a database, etc. The scheduler triggers the solution to run the underlying algorithms, find relevant details and create a textual summary. It can also use external data sources to enrich the organization’s proprietary data. Boardwiser NLG’s output can be used in different ways, including sent via email or embedded in a dashboard or a webpage.

The Starschema Difference

Proven onboarding methodology

With standard processes for deployment, knowledge transfer, and integration with ticketing systems, Starschema ensures faster time to value.

Experience in large environments

Fortune 100 companies trust Starschema to keep their data pipelines robust, resilient, and reliable.

Flexible service models

Starschema offers Platform management and DataOps for entire, multi-vendor data pipelines or specific components.

Tools-based approach

Starschema deploys open source and proprietary frameworks, methodologies and tools to provide effective, accurate, and repeatable solutions and services.

Complete data lifecycle management

From ingestion to consumption, our teams of database administrators, data engineers, ETL developers, and data visualization experts can provide a seamless solution for your complete data pipeline.

Ask the Expert

Balazs Zempleni

Data Scientist at Starschema

Balazs specializes in digital image and signal processing, and in recent years he has focused on developing a natural-language processing solution to improve internal business processes based on textual data. In addition to his work, Balazs is an avid presenter at data science meetups and conferences.

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