Data Management

The Digital Marketing Maturity Guide helps organizations determine the level of sophistication within their digital marketing operations. Dimensional Research to conducted a global survey of 700 marketing professionals gauging the level of digital marketing maturity across various verticals and company sizes. Use these findings to benchmark your organization against other groups.

This paper discusses advanced technologies and tools that enable greater pipeline integrity, particularly computational pipeline monitoring (CPM) methodologies as a means to identify anomalies that signal a possible commodity pipeline release.

This paper discusses how an automated system helps pipeline operators comply with new federal regulations by safely reducing demands placed on controllers and the fatigue often associated with their tasks.

Mimecast conducted a whaling attack survey with 500 organizations around the globe and the results were alarming.

A spear-phishing attack could bring your company to its knees – today. For all you know, you may already be under attack. That could result in a data breach that lands your company in the glare of the news cameras – and in hot water with your customers, partners and investors.

Welcome to the future of 24/7, any-time, anywhere access to digital content - where dynamic publishing solutions are the mantra. Is your organization ready for this brave new world of digital content distribution? This whitepaper explores how to prime your organization to leverage rapid digital content consumption as a key to business intelligence.

The most cost-effective, easiest to provision, and easiest to manage line of SBCs on the market. Sangoma’s Vega Enterprise SBC VM/Software provides full-featured protection and easy interconnection at the edge of enterprise networks.

The newest edition of this unique report is filled with survey findings from over 4,000 individuals responsible for the resilience and protection of AIX and IBM i (i5/OS) environments. Discover if and how your peers are meeting recovery-time and recovery-point objectives, disaster recovery plans and more.

Acronis® Backup & Recovery™ 10 Server for Windows is the next-generation disaster recovery product, designed to back up and protect stand-alone Windows Servers. Download this demo software to learn how Acronis Backup Recovery™ 10 Server for Windows can help you recover the operating system, applications and all data in minutes after any unforeseen event.

Based on Acronis' patented disk imaging and bare metal restore technologies, Acronis Backup & Recovery 10 Advanced Server is the next generation of the Acronis True Image disaster recovery family for physical and virtual environments. Register below to receive access for a free trial version.

Journaling? RAID? Vaulting? Mirroring? High availability? Know your data protection and recovery options! Download this information-packed 29-page report that reviews the spectrum of IBM i (i5/OS) and AIX resilience and recovery technologies and best practices choices, including the latest, next-generation solutions.

For IT departments looking to bring their AIX environments up to the next step in data protection, IBM’s PowerHA (HACMP) connects multiple servers to shared storage via clustering. This offers automatic recovery of applications and system resources if a failure occurs with the primary server.

This white paper explores how the power of an information availability solution can unlock the latent potential of your IT environment and deliver new value for your organization. It includes an Action Worksheet to use in discussions with your IT executives.

If you need more than tape backup to protect your critical applications running on AIX operating environments, download this white paper and learn your options and strategies, including how new technologies have significantly improved the recovery time and data recovery points for AIX.

When it comes to audience engagement, the landscape has been completely rewritten. Media and entertainment companies need to embrace new technologies to achieve revenue goals. The Adobe guide, Play to Win in Audience Intelligence, shows you how. Read the guide to learn: • How to bring your data sources together into a unified view of the customer • How to move beyond basic demographic attributes to behavior attributes • How to use look-alike modeling to improve customer targeting and acquisition

In the Media and Entertainment industry, it all comes down to acquiring and retaining audiences. The higher the audience value, the better. Our guide, Acquisition Evolved, gives you a four-part framework to identify and engage high-value audience segments across channels that drive engagement, subscriptions, and advertising opportunities. Read the guide to learn: • Tips to accelerate your data-driven marketing • How to overcome audience acquisition and engagement obstacles • How to identify the right marketing technology for audience acquisition

Learn to evaluate avenues best with democratized yet trusted analytic insights using IBM Cognos Analytics for your business decisions here.

The report argues top-down and bottom-up BI are flip sides of same coin that needs an harmony. This also describes the rise of data discovery tools as a bottom-up reaction to heavy handed BI and have crushed the top-down camp's monopoly of BI, that has unleashed a bevy of data silos.

Analytics relies on BI, Big Data, and data discovery to provide reporting, trend what-if analysis. Analytics is transforming data into insight.

The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.

With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.

The benefits of moving data to the cloud are touted everywhere, but doing so without an information governance plan in place can cause more problems than it solves. Information governance (IG) is increasingly cited as one of the top five initiatives for companies to tackle over the next two years.

Unexpected failure or performance erosion of production equipment can significantly impact productivity, product quality and maintenance expenses within any manufacturing organization. It’s also difficult to get operations ‘back on track’ after these failures occur. The good news is that, via the Internet of Things, intelligent use of sensor data, machine learning and optimization can help companies take a proactive approach to predicting failures and re-optimizing processes around them.

FICO® Optimization Solutions for Manufacturers is an integrated and flexible modeling, solving and rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges. It helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.

Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.