Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
5 to 10 minute Video of Glenn O' Donnell from Forrester talking to IBM General Manager Deepak Advani about the new era of Analytics emerging in the IT space to help IT Predict outages before they occur, find resolution to problems faster and optimize for performance.
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.
An overview of the important considerations that both senior business management and IT management should think about as they decide whether or not to migrate some or all of their messaging and collaboration capabilities to the cloud.
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.
Are your employees using WhatsApp? Is mobile messaging taking over an ever-growing portion of your enterprise communications? Is your enterprise running into compliance considerations around messaging? Learn about approaches to addressing these challenges so that your employees can communicate on the go and your enterprise data will be protected.
Is your company using Office365? Are you concerned that your enterprise mail is not protected on mobile devices? Do you want to secure your data instead of managing devices? Download the datasheet to learn in depth approaches to addressing these challenges.
Big Data holds the promise of a virtually unlimited ability to gain insight – and foresight – to sharpen strategies and improve tactical execution but only if it can be harnessed and managed. Through this whitepaper, you can learn how.
John Musser, CEO of API Science, discusses the progression of API business models and offers examples of companies that have successfully matched their strategy with the appropriate model. View and learn:
• Why an API strategy is not a business model
• Most API business models have more than one type of ROI
• API business models are not one size fits all
• Why internal API use is likely the largest source of traffic
In an age of constant price-cutting and eroding brand loyalty the travel industry continues to struggle with customer satisfaction issues. New technologies such as mobile apps offer the promise of dramatically improving the entire travel process for everyone involved. Unfortunately, the limited sharing of data across the industry means that many of these apps are not successful in getting the right data to the right user at the right time. In this guide we describe how APIs and API management offer a unique opportunity for both travel suppliers and intermediaries to better control their own destinies while increasing customer satisfaction.
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.
Learn the 5 key factors necessary for a successful social media presence and see how a well-orchestrated social media team will increase your brand awareness and allow you to better understand your customers.