Blog

New Study Identifies the Fundamental Challenges That Prevent Organizations from Trusting Their Data

Why executives aren’t leveraging analytics to inform critical business decisions and how to change that. Data analytics can be every company’s greatest asset. It can help corporations drive customer growth, increase productivity, and manage risks. Well, at least in theory. Just like you need to trust your co-workers, your employees, your peers and your partners, in order for analytics to yield the intended benefits, business leaders need to trust the data they have so they…

Risk Dashboard of the Year for 2018!

Imagine Software embedded Panopticon visual analytics into its real-time portfolio, risk management, and regulatory solutions to provide its customers with comprehensive visibility into positions, trading activity, and intra-day risk.  Buy-side and sell-side customers use these dashboards to improve portfolio performance, perform stress tests and limits monitoring, and aggregate firm-wide risk. Imagine Software is a Panopticon Partner. Risk.net named Imagine’s Panopticon-powered dashboard as the Risk Dashboard…

Datawatch Panopticon Joins Confluent Partner Program

BEDFORD, Mass., Sept. 05, 2018 (GLOBE NEWSWIRE) — Datawatch Corporation (NASDAQ-CM: DWCH) today announced that it has become a Technology Partner in the Confluent Partner Program. Confluent has verified that the Panopticon Streaming Analytics platform properly integrates with and supports Confluent Platform and Apache Kafka® along with Kafka’s Streams API. Confluent, provider of the leading streaming platform based on Apache Kafka, designed its partner program to enable a rapidly growing ecosystem around Kafka and Confluent. It…

Improving Self-Service Analytics by Harnessing the Data Swarm

NOTE: This post originally appeared on Dataversity.net and was written by Author at Dataversity, Jennifer Zaino. “Self-Service Analytics is great because it empowers business people,” said Frank Moreno, VP of Worldwide Marketing at Datawatch. But as the trend has taken off, so have disconnected data silos that create challenges in understanding Data Provenance, modifications, and currency. So, as business users worked with reporting or visualization tools such as Tableau, there often was no way…

Datawatch Panopticon Joins Confluent Partner Program

BEDFORD, Mass., Sept. 05, 2018 (GLOBE NEWSWIRE) — Datawatch Corporation (NASDAQ-CM: DWCH) today announced that it has become a Technology Partner in the Confluent Partner Program. Confluent has verified that the Panopticon Streaming Analytics platform properly integrates with and supports Confluent Platform and Apache Kafka® along with Kafka’s Streams API. Confluent, provider of the leading streaming platform based on Apache Kafka, designed its partner program to enable a rapidly growing ecosystem around Kafka and Confluent. It…

When you think of customer satisfaction, do you immediately think of data? Georgia’s Own Credit Union does…

…and their results have been tremendous! At Datawatch, we’re always amazed by the variety of innovative ways our customers use data to advance critical business initiatives (download the full case study here for all the details). Often organizations get entrenched using data for operational reporting only, yet one customer (Georgia’s Own Credit Union) thought outside the box to optimize their data analytics to address a critical business initiative: customer satisfaction. The Challenge We can all…

A Broker’s View: Order Book Depth

This video demonstration shows how brokers for any asset class (Equities, Futures, Credit, FX, Commodities) can monitor and analyze every order event, including new orders, cancels, partial fills, and fills using the Panopticon Streaming Analytics Platform. They can see their order books with full depth, visualize historical data for any time period (from nanoseconds to years), zoom in and resample their trading data to investigate trading anomalies in specific time periods, and subscribe to…

Interactive kdb+ Analytics Workshop in New York

Join Panopticon and AquaQ Analytics for a full day interactive kdb+ Analytics Workshop on Wednesday, September 12, 2018. This course is designed for people who want to make full use of their kdb+ data environments in trading analytics applications. It’s tailored for traders, quants, IT people, and compliance people who wish to learn how to get the most out of kdb+ and about the most efficient ways to visually analyze trading data down to the…

Introducing Panopticon 17

With Panopticon 17, we also introduce a new product: Panopticon Streams, a Kafka-based stream processing engine that requires no coding. This video focuses on the visual analytics components of the Panopticon Streaming Analytics Platform. Panopticon 17 incorporates numerous improvements and new features, including: Enhanced Kx kdb+tick connectivity to support the extraction of nested lists Improved Kafka connector that separates the schema registry host and port from Zookeeper, making it easier utilize the schema registry Improved…

Introduction to Panopticon Streams: Stream Processing with No Coding

Panopticon Streams is the stream processing engine that works with Panopticon Visual Analytics software to form the Panopticon Streaming Analytics platform. Streams connects directly to a wide range of streaming and historic sources, including Kafka, and supports these critical functions: Real-Time Data Prep: Combines streaming data with historic data Calculation Engine: Calculates performance metrics based on business needs Aggregation Engine: Aggregates data as needed Alerting Engine: Highlights anomalies against user-defined thresholds Built for…