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By: IBM     Published Date: Mar 18, 2015
While we predict a burgeoning market for payment services hubs, we see a growing market for payment frameworks. Celent has often said that, in most instances, moving to a single hub is perhaps the aspirational goal, but is unlikely to be the short-term answer. Celent believes that, for many banks, a combination of a hub and a framework may be the right solution.
Tags : financial institution support, bank payment technology, ibm, burgeoning market, payment services hubs
     IBM
By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. 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.
Tags : big data, analytics, unstructured content, enterprise information, ibm, security, it management, storage
     IBM
By: IBM     Published Date: Apr 15, 2015
Business Process Management For Dummies, IBM Limited Edition, shows you what BPM is and how it can help your organization. You see how the BPM solutions from IBM help you gain many benefits from higher customer satisfaction to greater agility in adapting to changing market conditions. Chapter 1:Understanding BPM Chapter 2: Getting Started with BPM Chapter 3: Putting BPM to Work for your Organization Chapter 4: Improving BPM Automation and Decision Management Chapter 5: Checking out BPM Success Stories Chapter 6: Reasons to Choose BPM from IBM
Tags : ibm, dummies, business process management, business intelligence, best practices, automation
     IBM
By: IBM     Published Date: May 07, 2015
Learn IBM emerged as one of the three leaders after Forrester Research evaluated 13 big data predictive analytics solution vendors.
Tags : analytics solution, predictive analytics, embed intelligence, forrester wave, application development
     IBM
By: IBM     Published Date: May 19, 2015
Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs.
Tags : predictive analytics, predictive analytics solutions, big data, enterprise. advanced analytics, application development
     IBM
By: IBM     Published Date: May 20, 2015
Today’s customers are well-informed and empowered by information. They use other people and online experts as information sources. They interact with companies by multiple methods and expect a relevant dialogue with each brand. This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.
Tags : ibm, software, business analytics, database
     IBM
By: IBM     Published Date: May 28, 2015
Business Process Management For Dummies, 2nd IBM Limited Edition, shows you what BPM is and how it can help your organization. You see how the BPM solutions from IBM help you gain many benefits from higher customer satisfaction to greater agility in adapting to changing market conditions.
Tags : business process management, bpm, bpm solutions, customer satisfaction, automation, decision management
     IBM
By: IBM     Published Date: Jul 14, 2015
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.
Tags : big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
     IBM
By: IBM     Published Date: Jul 15, 2015
The Forrester Wave.
Tags : big data, analytics solutions, evaluate, analytical data, strategy
     IBM
By: IBM     Published Date: Jul 23, 2015
IBM Predictive Analytics Solution for Schools and Educational Systems,PASSES,is a product and services offering that enables schools to improve student performance.
Tags : predictive analytics solutions, educational systems, compliance, data analytics, student performance, ibm, passes
     IBM
By: IBM     Published Date: Oct 07, 2015
Whether you work in marketing, customer service, sales, finance, operations or another area of your business, IBM predictive analytics software puts a wealth of advanced capabilities at your fingertips, anywhere you need them—on premises, on cloud or as a hybrid solution.
Tags : it management, data management, data center
     IBM
By: IBM     Published Date: Oct 20, 2015
This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue.
Tags : ibm, customer, predictive, intelligence, revenue, networking, software development, it management
     IBM
By: IBM     Published Date: Jan 27, 2016
Forrester Research evaluated 13 big data predictive analytics solution vendors and IBM emerged as one of the three leaders. Learn why.
Tags : ibm, forrester wave, big data, predictive analytics, enterprise applications, data management
     IBM
By: IBM     Published Date: Apr 19, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, data management
     IBM
By: IBM     Published Date: May 03, 2016
The new frontier for personalized customer experience: IBM Predictive Customer Intelligence This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.
Tags : ibm, business analytics, ibm predictive customer intelligence
     IBM
By: IBM     Published Date: Jul 05, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, data management, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. 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.
Tags : ibm, idc, big data, data, analytics, information governance, data management, data center
     IBM
By: IBM     Published Date: Jul 12, 2016
As most companies now realize, analytics is increasingly more of an integral part of their day-to-day business operations. In a recent survey by a global research firm, 80% of CIOs stated that transition from backward-looking, passive analysis must shift to forward-looking predictive analytics. The challenge is that many analytic solutions are aligned to a specific platform, tied to inflexible programming models and requiring vast data movement. In this webcast, Forrester and experts from IBM will highlight how technology like Apache Spark on z/OS allows businesses to extract deep customer insight without the cost, latency and security risks of data movement throughout the enterprise.
Tags : ibm, forrester, apache spark, spark technology, z systems, security, enterprise applications
     IBM
By: IBM     Published Date: Jul 19, 2016
This video demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions. The solution leverages advanced predictive models to analyze customer transactions and spending behavior to more deeply understand customer needs and propensities, anticipate life events, and help provide a unique customer experience.
Tags : ibm, banking, finance, consumer insights, business intelligence, business anlytics, enterprise applications
     IBM
By: IBM     Published Date: Jul 22, 2016
This smartpaper presents an overview of the B2B integration landscape—its challenges, opportunities and the approaches that leading organizations follow in developing a robust and scalable EDI solution. It also summarizes the IBM B2B Cloud Services offering, with real-world examples of how companies are leveraging the IBM cloud to excel amid escalating global complexity, demand volatility and new customer requirements.
Tags : ibm, b2b, b2b cloud integration, b2b integration, cloud, integration, smart paper, enterprise applications
     IBM
By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, enterprise applications, data management
     IBM
By: IBM     Published Date: Oct 17, 2016
Download and read this detailed “Redbook” from IBM to learn more about the capabilities and benefits you can realize from using IBM Predictive Customer Intelligence (PCI). You’ll learn how to use this sophisticated solution to enhance your customer relationships across all your channels and touch points.
Tags : ibm, commerce, analytics, ibm predictive customer intelligence, predictive intelligence, enterprise applications
     IBM
By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. 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.
Tags : ibm, idc, big data, data, analytics, information governance, enterprise applications, data management
     IBM
By: IBM     Published Date: Oct 18, 2016
The worldwide growth rate of digital data is staggering. If you're a CIO or a data center administrator, data growth statistics aren't just big numbers, they are a big problem -- for your company. Email messages, social media and blog posts, text and instant messages, photos, video and audio, machine-generated data, and transactional detail are on track to overwhelm your storage capacity. Read this paper for practical advice and smarter solutions for managing the information in your organization and getting back to a position of mastery over your data. Get this valuable resource now.
Tags : ibm, analytics, big data, information governance, ecm, information lifecycle governance, enterprise applications, data management
     IBM
By: IBM     Published Date: Dec 05, 2016
Learn directly from KONE's expert about their recent IoT experience in implementing predictive maintenance (PMQ) and IoT. The session will cover: 1) KONE's business area that the PMQ and IoT solution is supporting, and the metrics used to measure success; 2) KONE's Predictive Maintenance and IoT Platform use case, key personas, savings and benefits realized; and 3) Observations from implementation, including: a) The analytics journey at KONE; b) Organizational change (culture, processes, etc.); c) Measurable maintenance benefits; d) Implementation considerations, learnings, going forward; and e) Future projects and capabilities.
Tags : ibm, leadership, watson, watson iot, predictive maintenance, enterprise applications
     IBM
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