Gradient

Automating BI Analytical Tasks with Anomaly Detection and NLG Summation

Anomaly detection with NLG summation solutions use machine learning to identify inconsistencies in data — many of which hard to find through manual analysis — and articulates those insights in words anyone can understand.

Enterprises are adopting these solutions to generate faster, more accurate and consistent data analysis, and communicate the findings more effectively with minimal human intervention. This augments, rather than replaces, analysts, so they can become more effective, efficient and valuable to the company.

Read this white paper to learn

  • real-world business use cases for anomaly detection and NLG summation;
  • how anomaly solutions work;
  • how to implement and gain business value from these solutions;
  • Boardwiser NLG’s approach and how it creates value for the organization.

Thank you, download your white paper below!

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Enterprise-Scale AWS Cloud Migration

Our client, a Fortune 50 energy company needed to migrate all their existing data and analytics platforms to Amazon Web Services and redesign the existing architecture to leverage AWS-native technologies. This was an initiative to optimize performance and reduce long-term operation costs by taking advantage of recent advancements with AWS cloud-native solutions.

AWS Cloud Migration

A proven framework for flexible and effective enterprise-scale migration, supported by customizable proprietary automation tools to enable clients to quickly realize the benefits of the cloud and fully leverage AWS-native solutions and services to achieve operational efficiency and competitive advantage.

Azure Data Lake

We design and implement data lakes to analyze data in distinct ways, gain insights and create value out of the data your organization generates and imports. Our standard BI Data lake solution implemented on Microsoft Azure platform is based on Lambda Architecture providing flexibility to process either structured data coming from traditional SQL databases or semi/non-structured data ingested from IoT devices, logs, documents.

Data Marketplace Architecture

A leading investment management firm improved
the performance of its data marketplace with a new
architecture leveraging Snowflake and dbt.