As has often been reported, human error is one of the largest factors in data center outages. Since estimates of the average cost of an outage now exceed $740,000, the ability to reduce or eliminate man-caused outages can make a substantial impact on the organization’s bottom line. In this presentation, Jose Ruiz, VP of Engineering Operations for Compass Datacenters, will present a case study on how the introduction of wearable technology has enhanced one customer’s operational performance substantially.Read more >
Learn how to implement operational analytics in NoSQL environmentsRead more >
In this webcast, learn the top 5 IoT use cases of Datameer customersRead more >
Es el momento de replantearse la forma en la que abordamos los eventos. En lugar de considerarlos como simples operaciones de bases de datos o transacciones, pensemos en ellos en su contexto. ¿Cómo afectan a los clientes, proveedores y usuarios? ¿Cuáles son las consecuencias si los eventos fallan?
Operational Intelligence complementa al Business Intelligence, aportando inteligencia operativa en tiempo real. De este modo las acciones pasan a ser proactivas en lugar de reactivas, y se traslada a los usuarios la información que necesitan, cuando la necesitan.
Payment fraud losses amounted to $16.31 billion last year — with card-not-present fraud responsible for nearly 40 percent of that total at $6.4 billion. Investigating those cases (and resolving those disputes) is a major burden for card issuers; what’s essential to improving the process is to automate investigation and minimize operational overhead.
Join Ankur Karer, Head of Global Pre-Sales of CA Technologies, and MPD CEO Karen Webster for a digital discussion on the best practices for implementing the ideal case management system that can help to improve operational efficiency by prioritizing cases and reducing inbound call volume.
Risk Management is not a standalone activity carried out by a company’s risk experts; it is part of the responsibilities of management and a concern to all of the organization’s stakeholders. Risk identification and management are vital to strategic planning, project development and change management. Correctly instituted, Operational Risk Management (ORM) is a cross-functional and dynamic process that is critical in helping decision-makers reach informed choices based on facts and data, not opinions. It helps management prioritize actions and distinguish the best route amid alternative courses of action. Securing information and assets is not a silo within the security or IT business unit.
The benefits are many, but ORM, once implemented, facilitates reducing operational and compliance costs and provides a detection system that will help reduce future exposure to risk. Ultimately it means a more resilient organization.
Some industries are under more regulatory pressure than others, but the federal government is now also pushing forward risk-based frameworks. Organizations dubbed as “Critical Infrastructure” will need to ensure they have the controls and processes in place to meet requirements outlined by risk-based frameworks such as the NIST Cybersecurity Framework.
Attendees will learn:
- How risk based security is defined and harmonized internationally
- What ORM look like in real life business models
- The importance of the combination of People, Process and Technology in reducing risk
- How Operational Risk Management fosters Operational Resilience
Join the webinar to discuss five key steps to achieve marketing operational excellence, including planning, production, execution, measurement, and optimization.
HP Operational Analytics provides real-time and historical analysis of raw (unstructured) and structured machine, log, monitoring and event data. Join us to learn how OpsAnalytics can help you:
•Collect, store and analyze everything
•Consolidate in a single dashboard
•Correlate to understand impact and root cause
•Easily search logs and events for improved services and better decisions
How can you take advantage of new insights to transform your organization?
The IT landscape is changing. Devices and applications generate data every millisecond of every day. The Internet of Things (IoT), Machine-Generated Data (MGD) and the 3rd Platform are changing the datacenter game for new crops of applications when it comes to accessing valuable business data. The push to support this digital transformation requires different mechanisms to consume and deploy data services in new ways. Traditional data analysis, infrastructure and management solutions are not engineered for this high-volume, high-velocity and highly diverse data.
Join Shaliesh Manjrekar, Director of Big Data Products, Emerging Storage Solutions at SanDisk and Chris Tsilipounidakis, Manager of Products and Technology Evangelist at Tegile as they discuss the ways that customers can take advantage of new insights to transform their organizations and create new business value like never before.
In this webinar, you’ll learn:
· Pain points associated with traditional data analysis approaches
· What is big data analytics and why its important for organizational success
· Real-time analytics as an operational intelligence data platform
· SanDisk and Tegile’s jointly developed IntelliFlash HD platform
This is the second webinar in a 2 part series focused on the operational and legal aspects of the Integration between Health and Social Care.
This webinar will provide practionioner's experience on challenges and apporaches in communicating and integrating data between Hospitals and Social Care establishments.
You will learn about
- the operational challenges and approaches in communicating and
integrating data between Hospitals and Social Care establishments
- When can you share data and what are the Confidentiality and data
protection laws in practice?
- The Interoperability Charter; what it is, why it’s important and how to
- Rajesh Seedher, Information Governance Manager, Brent Council
- Eleanor Tunnicliffe, Associate - Healthcare Regulatory & Public Law
DAC Beechcroft LLP
- Natalie Bateman, Head of Health, Social Care and Local Government
Learn about new technology for payments, branch digitization and disruptive imaging plus keep security & fraud controls in-step with industry changes.
A typical bank teller's day should focus on generating sales revenue, whilst securely processing customer transactions in parallel. However, disruptive imaging technologies and evolving strategies for how banks provide payment & In-branch operating models to stay in step with customer demands are taxing banks to step up their operational rigor.
We’ll discuss how new teller operating models and remote deposit are changing the way customers interact with their branch and what considerations to mitigate risk need to be taken.
To maximize the opportunity presented by SDN and NFV we need to start planning operational tasks from a new perspective. In this session Alcatel-lucent will highlight how Lean principles are being applied to the operationalization of NFV to enable efficient and automated dynamic services. The session will outline a framework for network and service orchestration followed by a demonstration of Lean NFV operations launching VPN and VoLTE services using an OpenStack based platform.Read more >
Business intelligence (BI) applications are playing an ever increasing and important role in driving and optimizing daily business operations. This trend is leading to major changes in both the functionality and the usability of BI-related technologies and products. Developing an operational BI strategy in this dynamic and constantly changing environment is not a simple task.
This seminar shows how you can extend the traditional business intelligence environment to include operational BI capabilities. Also covered will be the steps to help you get started, things to watch out for, and other considerations for your implementation. The result is an operational BI environment that enables companies to build a smart and flexible business decision-making environment for optimizing operational business processes.
In this webinar, you will learn:
- Definition and characteristics of operational BI
- Developing an operational BI strategy – extending the data warehouse environment
- Operational BI technologies
- Getting started
In any endeavor, having clear line of sight of the road ahead is better than “driving blind.” The constant struggle in the IT service support and IT operations disciplines is how to move from fighting day to day fires, of repeating the same tasks over and over, to one where we become more strategic, less reactive, and have the ability to anticipate and avoid problems in the future.
Join us as we discuss how to better utilize the operational data that exists at the Service Desk to mature Incident and Problem management, to elevate our service levels by the use of end user experience monitoring and analytics, and to advance by taking advantage of new big data possibilities.