Resources

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...

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...

Large US Bank Boosts Insider Threat Detection by 5X with StreamAnalytix

Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor...

Top US Airline Boosts Customer Experience Across Channels with StreamAnalytix

Airlines today have access to a wealth of customer data. The ability to analyze this data in real-time can lead to revenue enhancement and effective customer experience management...

A leading Contact Centre builds a Real-Time Call Center Monitoring Solution with StreamAnalytix

Call centers process millions of minutes of calls per day across vast distributed networks around the globe. Real-time monitoring of the IVR system can be a challenge considering...

Hyper-Scale Data Processing and Storage Using StreamAnalytix

Real-time analytics on streaming data can help enterprises offer contextual customer interactions in the moment and drive operational efficiency. Impetus conceived and...

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. The platform enabled:

StreamAnalytix Created $5 Million Annual Savings with a New Agent Monitoring System Leading Wireless & Telecom Services Provider

Real-time monitoring is a far more effective way to track agent performance in contact centers than analyzing a small sample of randomly collected calls. A leading, US based,...

Anomaly Detection with Machine Learning at Scale (India)

Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and...

Automate Your Transformation Journey from EDW to Snowflake

Enterprises moving to Snowflake can experience benefits such as full SQL support, serverless architecture, strong partnerships with BI and ETL tools, and ease of maintenance....

Getting Real Value from Real-Time Streaming Analytics

Enterprises and IoT applications can benefit immensely from real-time streaming analytics by visualizing the business in real-time, cutting preventable losses, detecting urgent...

A Future-Proof Architecture for Streaming Data Analytics

Are you ready to reap the benefits of streaming analytics, but are worried about investing in new technology that could rapidly be surpassed or become outdated?

The Build vs. Buy Decision: Exploring a Third Alternative

As enterprises realize the power of real-time information, streaming analytics platforms are fast becoming a must-have technology for enterprises. This whitepaper explores the...

Real-Time Streaming Analytics

Here is a one stop source for all that you wanted to learn about real-time streaming analytics.

Anomaly Detection with Machine Learning at Scale

Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and...

Driving Business Value from Real-Time Streaming Analytics

Driving Business Value from Real-Time Streaming Analytics Is your data value decreasing with each increment of delay, becoming less a force for rapid response than a resource for...

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...

IoT: The Trigger for Streaming Analytics

An Ovum white paper for Impetus StreamAnalytix The Internet of Things (IoT) is becoming ubiquitous. More than just a curious trend, enterprises have a huge stake in harnessing...

Featuring Forrester - Keys to formulating an effective data management strategy in the age of data

Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a...

An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives

Executing analytical queries on massive data volumes with traditional databases and batch ETL processes is complex, expensive, and time-consuming.

Solving the EDW Transformation Conundrum

Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the...

EDW Transformation - A Retrospective and Outlook

The enterprise data warehouse (EDW) has been the heart of decision support for more than two decades. But the game has now changed. The new age of advanced data analytics is...

Transforming Real-time Customer 360 with Apache Spark

Enterprises have realized that a consistent, complete and real-time view of customers across systems and channels is the key to transform the customer experience. However,...

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...

Apache Spark: The New Enterprise Backbone for ETL, Batch and Real-time Streaming

In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and...

Accelerating Data Warehouse Modernization with OLAP on Hadoop

This webinar presents a blue print for a Modern Data Warehouse that can make migrating from the EDW to Hadoop much less risky, and deliver faster, cost efficient analytics.

Accelerating Hadoop Solution Lifecycle and Improving ROI

This webinar will present Hadoop solution development challenges and provide approaches to avoid failure at every stage / role.

Enterprise 360: Propelling the Data-driven Enterprise with a Unified View

As businesses continue to grow, existing enterprise data warehouses are faced with the challenge of storing and synthesizing increasing data volumes. Legacy platforms are neither...

Automated SAS Workload Transformation to Cloud

Is your organization looking to reduce its dependence on the SAS platform? Offloading your SAS workloads to a distributed processing paradigm will help you cut costs while...

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...

ASSESSMENT: Your First Step Towards a Modern Big Data Warehouse

Ever-increasing data volumes are fast outgrowing existing data warehouses. Enterprises are looking at offloading data and processing to a big data environment to address the...

Teradata Cost Optimization by Transforming Batch and Ad hoc Workloads to Hadoop

Reduce Costs with Data Transformation Impetus helped a U.S.-based multinational retail chain optimize their data warehouse architecture and reduce the current cost of enterprise...

Automated Translation of Complex Netezza Procedures to Hadoop

Cost-Effective Workload Transformation Impetus helped a leading cable service provider minimize data and workload transformation cost with tool-based transformation. The solution...

Automated Workload Transformation from Netezza to Big Data

A major cable company needed to offload its Netezza workloads completely. Impetus helped them do it by transforming to a Hadoop-based storage and retrieval solution. Learn how the...

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...

10/15/2018

Five Things to Consider Before Performing a Workload Migration

Legacy data warehouse transformation is complicated and risky.  A successful migration requires a detailed evaluation on multiple parameters – including queries, tables, sub-...

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...

03/15/2019

11 points to consider for a solid EDW transformation strategy

Making the move from EDW to big data can be daunting. A thorough understanding of requirements, possible scenarios, and processes is crucial to ensure a smooth transition....

08/08/2019

Is hybrid cloud the future of data warehouse modernization?

The need for digital transformation is compelling enterprises to move from traditional data warehouses to the cloud. Gartner  estimates that the worldwide public cloud...

09/03/2019

Five Azure Cloud Migration Challenges That Can Catch You Off Guard

Legacy data warehouses are choking under the weight of new unstructured and fast data sources, and enterprises are struggling to address challenges like secure data access,...