A Data Warehouse is a computer system designed for archiving and analyzing an organization's historical data, such as sales, salaries, or other information from day-to-day operations. Normally, an organization summarizes and copies information from its operational systems to the data warehouse on a regular schedule, such as every night or every weekend; after that, management can perform complex queries and analysis on the information without slowing down the operational systems.
In every industry today, businesses feel a fierce urgency to become customer-centric. They want to know what they can do to preserve and expand existing customer relationships and attract the best new customers.
Contact center infrastructure vendors continue to expand their solution offerings to include broader feature sets, including omnichannel routing, and alternative delivery models. Companies should evaluate vendors' technology and ability to deliver in relevant regions.
The world of data centers and IT has been historically been one of gradual evolution, but events and capabilities that have emerged over the past 3-5 years present both a challenge, and opportunity to the IT organization. Click here to read about the IT Metamorphosis.
Why should a CIO or data center manager care if his data center is “next-generation”? Why look for a provider with an “enterprise hybrid solution”? In this Solution Guide, we cut through the marketing hype and answer those questions.
The case for a re-envisioned data center is being made every day, and at an increasingly urgent pace. Growing technology demands, transforming global economics, corporate efficiency initiatives, and required business agility are among the drivers making change not merely a strategy, but a prerequisite for survival.
Join John Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and Heine Krog Iversen, CEO at TimeXtender, for a discussion on how to improve your organization’s responsiveness to business change and how to adapt to a data-driven environment.
Attendees will gain insight on:
How data-driven organizations are changing business and technology
Which data sources are empowering data-driven organizations and challenging IT departments
How IT departments and analytical teams can get ahead of data-driven change
How data warehouse automation enables not only data-driven business stakeholders, but proactive IT departments
This colocation buyer’s guide includes a checklist of important factors to consider before choosing a provider, along with buying criteria to help you make the best decision for your infrastructure needs.
This whitepaper examines some of the short- and long-term issues and challenges that should be part of your due diligence when facing growing demands of your organization’s evolving computing architecture and making major strategic and economic decisions.
The Vatican Apostolic Library implemented the Panduit Integrated Data Center Solution to create a robust and highly available network infrastructure to support the conservation of its literary treasures.
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world.
Big data is fueling a new economy—one based on insight. How can you create the valuable insights that are the currency for the new economy while controlling complexity? Apache Spark might be the answer.
A growing number of enterprises are adopting both private and public cloud computing models. While virtualization, cloud, mobility, data analytics, and the Internet of Things (IoT) are providing tremendous opportunities for businesses, they are also creating new challenges for IT departments.
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries.
Like many, you may find that you lack the time and resources to adequately extend Disaster Recovery (DR) to safeguard all aspects of your organization. As a result, gaps in DR coverage put your business at risk.