Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
“The Rise of Data Activism: How Digital Data Distribution Platforms (D3P) Enable Marketers to Act on Their Data” discusses how marketers can solve the optimization gap and leverage new solutions to take action on their most actionable audience segments in real time.
Financial Services firms are moving into a new phase in the evolution of communications oversight and face challenges ranging from new and changing regulations to employee privacy. Learn how legal, compliance and IT professionals are managing compliance and e-discovery for email, Web, IM, social media, enterprise social networks, corporate issued mobile devices and the bring your own device (BYOD) trend.
Commissioned by ForeScout and conducted by The Tolly Group, one of the world’s leading independent product testing labs, the competitive analysis covers 34 criteria points across key functional categories: deployment, interoperability, guest management, endpoint compliance, enforcement, remediation and scalability. Before spending considerable time and resources to perform your POC, download this in-depth, 24-page report.
This survey based whitepaper, based on interviews with 229 executives worldwide assesses the challenges and opportunities faced by global businesses as they optimize sales resources to develop territories and incentive compensation plans. This is critical in response to emerging market opportunities and complex global economic challenges.
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it – not to mention excellent qualities of service. Carl Olofson, an IDC analyst looks, at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future. Download this paper and learn.
2 Page Written Case Study on Consolidated Communications that discusses the challenges they were facing and how IBM's Predictive Insights capability helped them find problems in their network infrastructure before they actually occurred.
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
IBM Big Data Stampede fuses the strength of IBM’s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
The closer your organization gets to your customers, the more successful it will be. Learn how to take customer relationships to a new level of intimacy using a combination of business intelligence and predictive analytics software.
Enterprise IT faces a new kind of tension: the API economy on the one hand, where enterprises drive new revenue streams by (gulp) publishing corporate data APIs for third-party developers to use, and SOA on the other, where tight governance is the name of the game. But the loose coupling in RESTful web services forces a discipline all its own.
In this ESG analyst white paper, learn how Riverbed introduces an integrated approach to ensure performance of your network and applications by leveraging Cascade network performance management and Steelhead WAN optimization solutions.
Forrester benchmark data on current state of application availability and performance within the enterprise. In conducting a survey of 159 IT professionals with direct responsibility for business-critical applications, Forrester found that all enterprises surveyed had fundamental issues while managing the performance of these applications and business services. Read the report to learn the key findings of this study.