Welcome!

@DXWorldExpo Authors: Elizabeth White, Yeshim Deniz, Pat Romanski, Liz McMillan, Zakia Bouachraoui

News Feed Item

Risk Decisions Increases Competitive Advantage with Pentaho

Established leader in enterprise risk management is first to market with geo-mapping

LONDON, Oct. 22, 2013 /PRNewswire/ -- Delivering the future of analytics, Pentaho Corporation announces today that its UK customer Risk Decisions has successfully embedded Pentaho Business Analytics to deliver the industry's first enterprise risk management solution with integrated geo-mapping capabilities. The new solution is called Global Risk Reporting Capability and is part of Risk Decisions' Predict! 4.4 software. It benefits global project, programme and enterprise risk management professionals by enabling them to immediately visualise where risk 'hotspots' are located see on a map so they can focus time and materials on the areas that matter most.

(Logo: http://photos.prnewswire.com/prnh/20131022/FL93613LOGO )

One of the greatest challenges for large companies and government organisations managing large, complex capital projects is the number of stakeholders involved. Recognising this, Risk Decisions sought to make its Predict! software communicate much more visually and intuitively than others in the market to reduce ambiguity and help guide optimal decision-making. Risk Decisions chose to integrate Pentaho Business Analytics for its reporting and data visualisation capabilities, including geo-mapping, its ad-hoc reporting capabilities and the fact that it was based on open standards and therefore easy to integrate into Predict!.

Increasing competitive advantage for Predict!

According to Val Jonas, CEO Risk Decisions, "Integrating Pentaho into Predict! has given us a competitive edge. Its ease of integration has meant we've been able to focus developer time on the innovative risk management capabilities Predict! is famous for."

Davy Nys, VP EMEA & APAC Pentaho commented, "One of our strongest growth areas is with companies like Risk Decisions who are seeking to gain competitive advantage by embedding advanced analytics and data visualisations into their existing software. Although Predict! is already an established market leader, it saw a new opportunity to stretch its lead by offering its customers geo-mapping and ad-hoc reporting."

Learn more about why Risk Decisions embedded Pentaho and how they integrated geo-mapping to their product. Read the case study http://www.pentaho.com/customers/risk-decisions

About Pentaho Corporation

Pentaho's integrated data integration and analytics platform prepares innovative companies of all sizes for big data analytics efforts today and in the future. Pentaho's open source heritage drives its continued innovation in a modern, integrated, embeddable platform built for the future of analytics, including diverse and big data requirements. Powerful business analytics are made easy with Pentaho's cost-effective suite for data access, visualisation, integration, analysis and predictive analytics. For a free evaluation, download Pentaho Business Analytics at www.pentaho.com/get-started.

About Risk Decisions

With 28 years in the industry, Risk Decisions has been built with a passion for risk management by both its management team and employees. It has a well-established reputation for helping major corporations and government organisations worldwide achieve improved business performance through embedding best practice risk management and analysis. Its Predict! software is implemented across the globe with key customers including the Australian Department of Defence, Femern, Navantia, AWD Alliance, Lend Lease (Athletes Village) Babcock, BAE, Lockheed Martin and the UK Ministry of Defence.  The company also boasts six of the top ten defence and aerospace companies on the Forbes 250 global list as its customers.  Its flexibility to adapt to the way users manage risk and opportunities has made Predict! a leader in its field. For more information, visit www.riskdecisions.com.

SOURCE Pentaho Corporation

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

DXWorldEXPO Digital Transformation Stories
"We do one of the best file systems in the world. We learned how to deal with Big Data many years ago and we implemented this knowledge into our software," explained Jakub Ratajczak, Business Development Manager at MooseFS, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addres...
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.