Resources

Webinar

Ensure successful data ingestion on the cloud: Strategies for 2021

Despite investing heavily in infrastructure and solutioning, enterprises often struggle to efficiently process their data on the cloud and derive value from it.

Webinar

Eliminate cybersecurity threats using data analytics - Build a resilient enterprise during COVID-19

The current pandemic situation has fueled an unprecedented rise in digital transactions across the globe. This has led to a surge in cyberattacks and malicious online activities....

White Paper

Build and operationalize machine learning models

Seamless training, testing, scoring, and model management with StreamAnalytix

Webinar

3 marketing success stories leveraging hyper-personalization

Across industries, understanding customer needs is the key to effective marketing.

Webinar

Next-best-action marketing analytics

Learn how a Fortune 100 enterprise used automation for upselling and customer retention

Webinar

Accelerate your journey from data to decisions - A Unified analytics platform for ETL, ML, and BI

Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...

Case Study

Enabled 2x faster application deployment with AWS Kubernetes

Digital customer journey experience company reduced bootstrap time significantly

Blog

StreamAnalytix 4.4.0 release – Powerful enhancements for ETL workload transformation, CDC, Google Cloud support, and more

The latest release of Impetus’ self-service data and analytics platform, StreamAnalytix, offers a host of power-packed updates aimed at empowering users with greater speed,...

Solution Brief

Build a high-performing data ecosystem for ETL, ML, and BI — Accelerated and Unified

Transform the decision-making capabilities of your business with accelerated insights from all your data. Our end-to-end solution helps you build a single, integrated pipeline to...

Case Study

Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider

A cost-effective, highly available, and fault-tolerant data analytics solution for smart manufacturing

Case Study

How a telecom giant fast-tracked their data lake implementation

Modern machine learning implementation on the data lake led to 6% increase in customer acquisition

Solution Brief

Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix

Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases of change in code or data, with extensive...

Blog

Detect and prevent insider threats with real-time data processing and machine learning

Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to...

Blog

Five Important Movements in the Data Analytics Landscape in 2019

Business is booming in the data industry. Investments have grown exponentially in recent years and according to industry experts, the trend is expected to continue. As data...

Solution Brief

Building a Single Source of Truth across the Enterprise – An Integrated Solution

Data-driven decision making is changing the way businesses operate, and the data warehouse is at the core of an enterprise’s big data and analytics strategy. Existing data...

Webinar

Operationalizing Enterprise 360 - Create a Single Source of Truth

Complex and fragmented data systems make it challenging to define a 'single source of truth' for data that provides a comprehensive single view of the enterprise. Enterprises are...

Case Study

Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix

Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a...

Case Study

Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

Auto insurance companies are increasingly investing in garnering data driven insight to offer simplified, transparent, and flexible products and pricing options. This leading...

Blog

Data Trends for 2018

Data is a powerful corporate asset that enterprises are now beginning to fully harness. Enterprises are looking to derive breakthrough value through investments in cloud-migration...

Case Study

Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix

StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data.

Blog

Using Zeppelin to Build Data Science Models for StreamAnalytix

Data scientists use different applications like R, Python or Scala (with notebook tool like Apache Zeppelin) to develop data science models. For example, some prefer R to create...

White Paper

Data Science for Real-Time Streaming Analytics

Are you looking to extract business value in real-time from data in motion? Data analytics forms a crucial part of Real-time Streaming Analytics (RTSA) that allows for the...

Webinar

Ensure successful data ingestion on the cloud: Strategies for 2021

Despite investing heavily in infrastructure and solutioning, enterprises often struggle to efficiently process their data on the cloud and derive value from it.

Webinar

Eliminate cybersecurity threats using data analytics - Build a resilient enterprise during COVID-19

The current pandemic situation has fueled an unprecedented rise in digital transactions across the globe. This has led to a surge in cyberattacks and malicious online activities....

Webinar

3 marketing success stories leveraging hyper-personalization

Across industries, understanding customer needs is the key to effective marketing.

Webinar

Next-best-action marketing analytics

Learn how a Fortune 100 enterprise used automation for upselling and customer retention

Webinar

Accelerate your journey from data to decisions - A Unified analytics platform for ETL, ML, and BI

Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...

Webinar

Operationalizing Enterprise 360 - Create a Single Source of Truth

Complex and fragmented data systems make it challenging to define a 'single source of truth' for data that provides a comprehensive single view of the enterprise. Enterprises are...

White Paper

Build and operationalize machine learning models

Seamless training, testing, scoring, and model management with StreamAnalytix

White Paper

Data Science for Real-Time Streaming Analytics

Are you looking to extract business value in real-time from data in motion? Data analytics forms a crucial part of Real-time Streaming Analytics (RTSA) that allows for the...

Solution Brief

Build a high-performing data ecosystem for ETL, ML, and BI — Accelerated and Unified

Transform the decision-making capabilities of your business with accelerated insights from all your data. Our end-to-end solution helps you build a single, integrated pipeline to...

Solution Brief

Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix

Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases of change in code or data, with extensive...

Solution Brief

Building a Single Source of Truth across the Enterprise – An Integrated Solution

Data-driven decision making is changing the way businesses operate, and the data warehouse is at the core of an enterprise’s big data and analytics strategy. Existing data...

Case Study

Enabled 2x faster application deployment with AWS Kubernetes

Digital customer journey experience company reduced bootstrap time significantly

Case Study

Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider

A cost-effective, highly available, and fault-tolerant data analytics solution for smart manufacturing

Case Study

Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix

Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a...

Case Study

Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

Auto insurance companies are increasingly investing in garnering data driven insight to offer simplified, transparent, and flexible products and pricing options. This leading...

Case Study

Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix

StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data.

Blog

07/20/2020

StreamAnalytix 4.4.0 release – Powerful enhancements for ETL workload transformation, CDC, Google Cloud support, and more

The latest release of Impetus’ self-service data and analytics platform, StreamAnalytix, offers a host of power-packed updates aimed at empowering users with greater speed,...

Blog

09/02/2019

Detect and prevent insider threats with real-time data processing and machine learning

Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to...

Blog

01/22/2019

Five Important Movements in the Data Analytics Landscape in 2019

Business is booming in the data industry. Investments have grown exponentially in recent years and according to industry experts, the trend is expected to continue. As data...

Blog

04/06/2018

Data Trends for 2018

Data is a powerful corporate asset that enterprises are now beginning to fully harness. Enterprises are looking to derive breakthrough value through investments in cloud-...

Blog

07/20/2017

Using Zeppelin to Build Data Science Models for StreamAnalytix

Data scientists use different applications like R, Python or Scala (with notebook tool like Apache Zeppelin) to develop data science models. For example, some prefer R to...

Oops.. no record found.